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Creating a Curriculum Plan End to End
Creating Engaging Curriculum Plans 0:04
Josh Lomelino introduces the process of creating curriculum plans that engage and empower students, blending accredited programs with public-facing classes.
He shares a personal anecdote about a professor's advice on being a "sage on the stage" versus a "guide on the side," emphasizing the importance of learner engagement.
Josh discusses the principles of game design and the importance of motivation in creating engaging learning experiences.
He highlights the need to align curriculum planning with the question, "What can I do with this?" to make learning meaningful and actionable.
Framework for Aligning Program and Course Outcomes 6:28
Josh introduces a framework shared by Julie Basler, the nationwide accreditation director, which aligns program and course outcomes.
He explains the triangular approach, starting with the school mission, followed by program missions, program outcomes, and finally, class competencies.
Josh emphasizes the importance of mapping these outcomes to specific class-level outcomes to create targeted and efficient courses.
He shares his experience of optimizing the workflow to create entire course plans in less than a day, significantly reducing the time and effort previously required.
Success Path Planning and Journey Mapping 20:10
Josh introduces the concept of success path planning and journey mapping, using a UX design approach to create a motivational learning experience.
He explains the stages of a learner's journey, from awareness to success, and the characteristics associated with each stage.
Josh discusses the importance of using the right verbs to describe success milestones and outcomes, aligning them with the learner's progress.
He provides an example of mapping course outcomes to specific milestones and action steps, ensuring a clear path for learners to achieve their goals.
Bloom's Taxonomy and Hierarchy of Learning 46:58
Josh introduces Bloom's Taxonomy as a framework for designing learning outcomes, outlining the different levels of learning from knowledge to evaluation.
He explains the importance of using specific verbs at each level to describe the types of learning activities and outcomes.
Josh provides a cheat sheet for Bloom's Taxonomy, listing verbs for each level to help in writing outcome statements.
He emphasizes the need to build a foundation of knowledge and comprehension before moving to higher-order thinking skills like analysis and evaluation.
Creating Course Outcomes and Mapping to Lessons 1:07:43
Josh demonstrates the process of creating course-level outcomes using Bloom's Taxonomy, starting with knowledge and moving to evaluation.
He provides examples of course outcomes and maps them to specific lessons and activities, ensuring alignment with the overall learning goals.
Josh discusses the importance of using the right verbs to describe what learners will be able to do, making the outcomes actionable and measurable.
He emphasizes the need to continuously refer back to the course outcomes to ensure that all lessons and activities support the desired learning objectives.
Curriculum Planning Matrix and Assessment Mapping 1:33:43
Josh introduces the curriculum planning matrix, a tool for mapping course outcomes to specific lessons and assessments.
He explains the structure of the matrix, including metadata, time tracking, and assessment mapping, to create a cohesive and purposeful learning experience.
Josh demonstrates how to map weekly outcomes to specific lessons and activities, ensuring that each lesson supports a clear learning objective.
He emphasizes the importance of aligning lessons with course outcomes and using the matrix to track progress and measure success.
Detailed Curriculum Planning Example 1:33:58
Josh provides a detailed example of a curriculum plan for a social media and digital marketing class, demonstrating the complete planning process.
He explains the metadata, time tracking, and assessment mapping for the class, including the total hours required and the distribution of activities.
Josh highlights the importance of aligning lessons with course outcomes and using the curriculum planning matrix to ensure a cohesive and purposeful learning experience.
He emphasizes the need to continuously review and refine the curriculum to ensure it meets the learning goals and supports the success of the learners.
Final Steps and Tools for Curriculum Planning 1:35:42
Josh summarizes the key steps in the curriculum planning process, including brainstorming phases, mapping outcomes, and creating detailed lesson plans.
He emphasizes the importance of using the right verbs and aligning lessons with course outcomes to create a motivational and engaging learning experience.
Josh provides tools and resources, including templates and cheat sheets, to help in the curriculum planning process.
He encourages continuous review and refinement of the curriculum to ensure it meets the learning goals and supports the success of the learners.
Creating a Curriculum Plan End to End 1:35:58
Josh Lomelino introduces the concept of a built-in scheduling tool for planning and deadlines.
Discussion on the use of rubrics for assessment, especially in public-facing courses.
Josh explains the assignment sheet and its role in outlining the entire assessment process.
High-level goals and outcomes are outlined, emphasizing the end-to-end planning process.
Project Scenario and Assignment Steps 1:42:58
Josh emphasizes starting with a project scenario and providing examples and rationale.
The assignment steps are flexible, ranging from 16 weeks to as short as five weeks.
Each assignment is broken down into specific steps with submission information and a rubric.
The rubric includes categories like business overview, customer avatars, competitive research, and a process book.
Grading and Accreditation Preparation 1:45:07
Josh discusses the importance of grading and rubrics for accreditation purposes.
The process involves pre-planning grading points and distinct grading categories.
External documentation is used before executing the plan within an LMS.
The document is not completed in one pass but unfolds week by week.
Success Path and Competency Development 1:47:18
Josh outlines the success path from initial unhappiness to transformation.
Focus on teaching students to develop the necessary competencies.
Thinking creatively and getting away from the computer helps in the ideation process.
Josh plans to use audio recordings to capture free-forming thoughts and ideas.
Leveraging AI for Content Creation 1:50:39
Josh explains the use of AI tools like Otter AI to transcribe audio recordings.
The transcript helps generate learning outcomes and lesson plans from the speaker's own words.
The process involves recording thoughts in sequence and combining them into a single file.
The final output provides a structured outline for content creation.
Finalizing the Curriculum Plan 2:08:57
Josh emphasizes the importance of having a clear success path with five to six phases.
The final output includes a detailed transcript and summary of ideas.
The process helps in creating targeted content that aligns with the success path.
The final matrix serves as a knowledge base for querying and generating new ideas.
Implementing the Plan 2:12:18
Josh discusses the importance of mapping ideas to specific phases of the success path.
The process involves querying the knowledge base for lesson ideas and action items.
The final matrix includes practical tips and techniques for developing a healthy lifestyle.
The approach ensures that the curriculum is actionable and moves learners towards their goals.
Refining the Content 2:15:00
Josh plans to refine the content by focusing on specific lessons and their details.
Each lesson is dedicated to a single audio recording and subsequent transcription.
The process helps in generating detailed video scripts and lesson plans.
The final output includes a clear structure for the entire course experience.
Creating a Knowledge Base 2:22:41
Josh emphasizes the importance of creating a knowledge base for future reference.
The knowledge base includes all key steps, tools, and resources used in the process.
The approach ensures that the final curriculum is comprehensive and actionable.
The knowledge base serves as a resource for continuous improvement and content creation.
Final Thoughts and Encouragement 2:23:38
Josh encourages participants to query their own brains and use AI tools for brainstorming.
The process helps in generating a variety of assets and content ideas.
The final matrix includes a detailed outline for the entire course experience.
The approach ensures that the curriculum is designed to help learners achieve their goals and become raving fans.
Here are strategies you can use to create engaging and motivational learning experiences for students.
Here are some key strategies Josh Lomelino discussed for creating engaging and motivational learning experiences:
Automated Video Production Pipeline
This video guides you through setting up an automated video production pipeline, from selecting and testing brand voices using Eleven Labs to pairing them with digital avatars in HeyGen. By following the steps, you'll learn how to catalog and integrate voices, match them with visual characters, and generate preview videos for evaluation. Once you complete the video, you'll be able to efficiently create, test, and organize multiple spokesperson options for your brand's automated content generation. This process empowers you to streamline video production and build a scalable library of branded video assets.
Following are the key things you will be able to do after you watch this demo:
Identify suitable brand voices using generative AI tools.
Catalog and organize voice and avatar options for efficient selection.
Integrate third-party voices into video production platforms.
Pair voices with digital avatars to create compelling spokesperson combinations.
Generate and preview automated video content for evaluation.
Document and track production assets for streamlined workflow.
Select and finalize top spokesperson options for automated content generation.
Introduction to Automated Video Production Pipeline (00:00:00 – 00:00:59)
Josh kicks off the demo by outlining the goal: selecting brand-aligned voices and digital doubles (either your own clone or hired actors), organizing those assets, and laying out the end-to-end steps needed to spin up a fully automated video production pipeline.
Content Sequencing Concept and Cloning (00:00:59 – 00:02:20)
He explains the core idea of building a repeatable sequence of content—cloning a finished production over and over—so you can continually generate new videos by plugging different scripts into the same automated workflow.
Defining Digital Doubles and Voice Types (00:02:20 – 00:03:11)
Josh clarifies terminology (digital twin vs. digital double), walks through the two main “buckets” of voice assets (personality-based clones vs. spokesperson avatars), and discusses how to mix and match them depending on your brand needs.
Selecting Platforms for Generative AI and Deployment (00:03:11 – 00:04:00)
He emphasizes the importance of vetting your generative-AI tools—voice engines and video avatars—and making sure they’re compatible with your target platforms before committing to any given solution.
Brand-Focused workflow and SRT Utilization (00:04:00 – 00:05:25)
Josh decides to focus on one streamlined method for this demo, using a single SRT transcript file as the “source of truth” for automation—underscoring that a clean, well-formatted SRT is absolute gold when you’re architecting an automated pipeline.
Importing SRT and Leveraging Automation (00:05:25 – 00:07:40)
He shows how to import the SRT into the voice-generation platform, highlighting how the time-coded script drives every subsequent step—from audio rendering to scene assembly.
Setting Up Voice Design in ElevenLabs (00:07:40 – 00:11:49)
A step-by-step walkthrough of testing voice presets, tweaking text lengths, integrating third-party voices, and crafting voice-design prompts to nail down the exact tone and style you want.
Managing Credits and Reviewing Generated Audio (00:11:49 – 00:15:46)
Josh demonstrates how to monitor and conserve your generation credits, preview the rendered audio, swap out placeholder text, and ensure you’re only spending resources on polished clips.
Applying Voiceover and Text Overlays to Video (00:15:46 – 00:19:08)
He attaches the finalized voice track to the video timeline, adds and styles text overlays (centering, contrast adjustments), and assembles the basic video composition ready for export.
Enhancing Prompts with AI Tools for Voice Design (00:19:08 – 00:22:04)
Introduces additional AI utilities for brainstorming and refining your voice-design prompts—showing how to iterate until you get a sample that truly matches your brand voice.
API Key Handling and Asset Export Configuration (00:22:04 – 00:27:28)
A practical guide on securely copying your ElevenLabs API key, configuring export settings (e.g., 4K output), and organizing all generated files into branded folders for easy access.
Frame Rate Considerations and Quality Checks (00:27:28 – 00:31:42)
Notes the default 25 fps setting, explains how frame rate impacts perceived motion, and walks through checking your export quality to avoid any unexpected artifacts.
Avatar Adjustments, Project Naming, and Fallbacks (00:31:42 – 01:05:16)
Josh covers fine-tuning avatar scale and positioning, updating project names for consistency, and setting up fallback workflows if you need to swap voices or visuals mid-pipeline.
Avatar Replacement and Cataloging (00:31:42 – 00:34:06)
Pair your chosen voice with visuals by replacing the default avatar, browsing through the 21 “looks” in each category, using the snipping tool to capture promising thumbnails, and logging each candidate’s name and category in your tracking spreadsheet.
Avatar Testing and Video Formatting (00:34:07 – 00:36:24)
Brainstorm voice–visual combinations (e.g. “August”), select a portrait-mode avatar, preview the static image, upload any custom avatars into the pipeline, drag your source video beneath the avatar layer, and confirm the composition and framing.
Voice-Avatar Sync and Quality Comparison (00:36:24 – 00:37:39)
Generate audio samples to compare HeyGen vs. ElevenLabs quality, force-refresh the clip to confirm it’s using the intended voice (e.g. Ryan Kirk), and watch for the spinning indicator to verify successful render.
Preview Generation and File Labeling (00:38:10 – 00:39:11)
Render a 4K preview of the voice-avatar pairing, then label the export asset with your convention (e.g. 001_RyanKirk_CharlieAvatar) so each test remains organized and easily identifiable.
Pipeline Duplication for Variant Testing (00:39:11 – 00:41:15)
Duplicate the entire sequence to create “Test 002,” swap in a new avatar (such as Colton), explore lifestyle/UGC categories, and note how background removal and frame size affect the final look.
Background Removal and Frame Adjustments (00:41:15 – 00:42:32)
Apply the background-remover tool to avatars with built-in backgrounds, observe any cut-offs (like arms being cropped), tweak the canvas framing, and decide between static vs. transparent backgrounds based on brand needs.
Third-Party Voice Integration workflow (00:42:32 – 00:44:03)
In the “My Voices” tab, toggle on integrated voices (e.g. Charlie), heart your favorites so they surface first, preview each sample, and ensure the API integration is active before proceeding.
Voice Audition Labeling and Mood Board Documentation (00:44:03 – 00:47:09)
Name each audition (e.g. 002_CharlieAvatar), update your mood board with snipped thumbnails, record which browser tab or category each came from, and keep this documentation up to date for reproducibility.
Frame Rate and Credit Management (00:47:09 – 00:48:06)
Note the default 25 fps setting—mismatches can cause audio sync issues—toggle off “Avatar 4” if you’re on an unlimited plan, and monitor your generation credits to avoid unexpected limits.
Styling and Folder Organization (00:48:06 – 00:49:29)
Adjust text overlay colors to maintain contrast (match your brand palette), create new folders for each batch, and standardize your output directory structure so you know exactly where each rendered clip lives.
Option Preview and Cataloging workflow (00:49:30 – 00:55:51)
Refresh thumbnails, scroll through voice-avatar combos, assign option numbers, screenshot grids of candidates, and log each pairing’s status (“Yes,” “Maybe,” “No”) in your spreadsheet.
Iteration Process and Consistency Notes (00:55:51 – 00:57:23)
Always regenerate every variation (never reuse stale renders), note any limitations (e.g. animated text can cover on-screen elements), and keep your naming and documentation consistent so the pipeline remains bullet-proof.
Ranking Options and Visual Separators (00:57:24 – 01:02:40)
Introduce visual separators in your catalog (e.g. blank rows), rank the top voice-avatar combos, screenshot your “definite yes” list, and preserve those as templates for future batches.
Additional Voice Integration: Amelia (01:02:40 – 01:04:33)
Search for “Amelia” in your voice library, verify whether it’s built-in or needs third-party integration, add it to favorites, preview the sample, and record its ID for consistent reuse.
Final Voice Candidate Integration (01:04:33 – 01:05:16)
Confirm Amelia’s render, then search for any last candidates (e.g. “Analore”), heart and test them, catalog the results, and ensure each new voice is fully integrated into the pipeline.
Final Pipeline Recap and Scale Duplication (01:07:40 – 01:08:34)
Recap how you’ve selected your final set of voices and avatars, finalize your naming conventions, and highlight that you can now duplicate this entire automated workflow to churn out an endless library of on-brand social-media videos.
The Content Hub and Nucleus
The key takeaway from Josh Lomelino's demo is the ability to create and manage content at scale using the AMP platform. Learners will be able to implement a centralized content engine that serves as the nucleus for their digital ecosystem, seamlessly connecting various content types like main sites, blogs, and online courses. Additionally, they will learn to leverage AMP's automatic organization and navigation features to simplify the process of building a comprehensive and user-friendly digital presence, saving time and effort. By the end of the demo, learners will be equipped with the skills to efficiently create, modify, and manage all their content within the intuitive AMP interface.
Here are the key things you will be able to do after you watch this demo:
Implement the content engine as the core of the AMP platform to create and manage various types of content (main site, blog, courses, etc.) in a centralized and interconnected way.
Establish connections and links between different content items to enable seamless navigation for users.
Leverage AMP's automatic organization and management of complex content structures with thousands of items, simplifying the process of building a comprehensive digital presence.
Create content for online memberships, courses, and classes, and utilize AMP's automatic generation of navigation and structure.
Utilize the user-friendly AMP interface to efficiently perform all content creation, modification, and management in one place.
Optimize the time-saving and scalable nature of the AMP platform to build and maintain a robust digital ecosystem with ease.
Content Creation and Navigation in AMP (0:10)
Josh Lomelino introduces the concept of creating content at scale using AMP, emphasizing its efficiency and ease.
The content engine is described as the nucleus of the system, facilitating navigation between various pages.
Josh explains the vision of connecting content items, drawing a parallel to Tim Berners-Lee's work in HTML.
The system allows for the creation of connections between content items, making it easier to manage complex content structures.
Handling Multiple Content Types and Traffic Sources (2:12)
Josh discusses the integration of different content types, such as a main site, blog, and courses.
He highlights the importance of managing traffic from various sources like Facebook, Instagram, and Google search.
The system automatically connects users from blog items to relevant areas on the main site or store.
Josh mentions the potential for creating courses or memberships, expanding the content universe.
Automatic Content Organization and Navigation (4:56)
Josh describes how AMP can handle the organization of thousands of content items automatically.
The system aims to simplify the process of building the digital future of a business by managing content flow.
AMP's no-code, auto-generation of HTML and other page elements is highlighted as a key feature.
The content engine will automatically build navigation and organize content for online classes and memberships.
Content Engine as the Core of AMP (6:51)
Josh emphasizes the central role of the content engine in AMP, describing it as the core of the system.
The content engine can house various types of content, including main site, blog, and course content.
The system manages links between pages, making it easy to associate related content.
Josh demonstrates the ease of managing content through a user-friendly interface.
Implementing and Managing Content with AMP (8:04)
Josh explains that all content management, including creation and modification, happens within the AMP interface.
The system is designed to handle complex content structures with ease.
Josh promises to show every step needed to master the content workflow in the following sections.
The focus is on making content management fast and efficient for users of all scales.
Creating and Modifying Content
This demo provides a comprehensive overview of the content management capabilities within the platform. Viewers will learn how to efficiently create, customize, and publish content pages, leveraging advanced features like related links, multimedia integration, and mobile-responsive design. By the end of the session, users will be empowered to rapidly develop and manage engaging, interconnected content that can be easily shared across social media to drive audience growth and engagement.
Here are the key things you will be able to do after you watch this demo:
Create and customize content pages within the CMS, including setting URLs, descriptions, keywords, and search engine priority
Utilize advanced features like left/right panels, side menus, classes, units, folders, and categories to organize content
Manage page metadata like publishing dates, authors, and social media sharing settings
Integrate multimedia content like banners, galleries, and videos into pages
Leverage the related links functionality to build interconnected content networks
Auto-generate web-friendly HTML from external sources like Word or Google Docs
Efficiently insert and format images within content pages
Preview and validate the mobile responsiveness of content pages
Understand how to make content shareable on social media to drive engagement and traffic
Gain familiarity with the overall content management workflow and tools within the system
Creating and Modifying Content: Introduction and Initial Setup (0:00)
Josh Lomelino introduces the session, focusing on creating and modifying content in the site.
He explains the process of creating a page, starting with a join page to onboard new members.
Josh demonstrates how to set URLs, descriptions, and keywords for SEO purposes.
He highlights the importance of search engine priority and the ability to create left and right panels with side menus.
Advanced Features and Customization (4:04)
Josh discusses the ability to create classes, units, folders, and categories within the content management system.
He explains the options for specifying publishing dates, authors, and displaying authorship information.
Josh demonstrates how to customize page banners, including the use of fixed and full-width headers.
He shows how to integrate social media sharing and create galleries and video content.
Social Media Integration and Keyword Visibility (4:19)
Josh explains the process of setting social media visibility and the benefits of having keywords visible for internal searches.
He demonstrates how to create a keyword cloud for users to drill down into content based on keywords.
Josh shows how to modify the join page by setting keywords to invisible and adding content about joining the membership.
He highlights the importance of making content shareable on social networks and managing social media visibility.
Rapid Development and Related Links (7:58)
Josh demonstrates how to add additional content to the join page, including related links and external resources.
He explains the power of the related link network and the ability to filter search results in real-time.
Josh shows how to link to items on the main site, blog, and external resources like Google Docs.
He explains the process of reordering items and managing external links within the system.
Auto-Generation of Content and Image Management (12:28)
Josh demonstrates how to auto-generate HTML from Word or Google Docs, maintaining web-friendly code.
He explains the process of copying and pasting content from Word, including formatting and image management.
Josh shows how to insert images, set descriptions, and format images to wrap text around them.
He highlights the ability to create sales funnels and link to e-commerce within the system.
Mobile Preview and Final Touches (18:58)
Josh explains how to preview the site on different form factors using developer tools in browsers.
He demonstrates the responsiveness of images and the ability to view the site on various devices.
Josh highlights the benefits of social media sharing and the potential for content to go viral.
He concludes by summarizing the process of creating and modifying content, emphasizing the ease of use and flexibility of the system.
File and Media Manager
The File Manager demo showcases a powerful tool for efficiently organizing and managing files of various types, including images, PDFs, and ZIP archives. Users will learn how to mirror their local file structure on the server, upload files using drag-and-drop or the upload button, and seamlessly integrate these files into web content. The demo also highlights advanced features such as image editing capabilities, folder management options, and direct file insertion into pages, empowering users to streamline their content creation and file organization workflows.
Here are the key things you will be able to do after you watch this demo:
Organize files and folders efficiently using the File Manager
Mirror local file structure on the server using drag-and-drop
Integrate various file types (images, PDFs, ZIP files) into web pages
Create a hierarchical folder structure for long-term scalability and accessibility
Upload files to the server using drag-and-drop or the upload button
Insert images into web content using the File Manager integration
Add alternate descriptions to images for improved accessibility
Link files (PDFs, ZIP archives) for users to download
Edit images directly within the File Manager using advanced tools
Save frequently accessed folders as favorites for quicker navigation
Manage folders at scale, including renaming, downloading, and zipping
Directly insert files into web content using the Insert File button
File Manager Overview and Initial Setup (0:08)
Josh Lomelino introduces the File Manager component, emphasizing its power to organize files efficiently.
The File Manager allows users to mirror their local file structure on the server using drag-and-drop functionality.
Josh demonstrates the interface, showing various file types like images and PDFs that can be integrated into pages.
The File Manager is accessed through the CMS under Content Management, opening in a full-screen view for easy navigation.
Organizing Files and Folders (1:49)
Josh explains the importance of organizing files hierarchically for long-term accessibility and structure.
He creates a folder structure for assets, classes, and subfolders for headers and sliders.
Drag-and-drop functionality is used to upload images from the local file system to the server.
Josh advises against using spaces in folder names to avoid special characters in URLs.
Inserting and Managing Images (5:59)
Josh shows how to insert images into content pages using the Insert Image button.
The file structure in the File Manager is mirrored in the content management interface for easy file selection.
Drag-and-drop functionality is also available when editing content, making it flexible and efficient.
Josh emphasizes the importance of using alternate descriptions for images to improve accessibility.
Linking Files for Downloads (9:26)
Josh demonstrates how to link files for downloads, such as PDFs, by selecting text and inserting a link.
He suggests organizing files in high-level folders like classes or PDFs for better scalability.
The process involves browsing for the file in the File Manager and inserting the link into the content.
Josh highlights the importance of a clear folder structure to avoid reorganization later.
Handling ZIP Files (12:49)
Josh explains how to create and manage ZIP files using the File Manager.
He demonstrates compressing a collection of files and folders into a ZIP file on a PC.
The ZIP file can be uploaded and managed in the File Manager, with folders created for scalability.
Josh shows how to insert a link to the ZIP file in content pages, allowing users to download the file.
Advanced Image Editing Features (16:35)
Josh introduces the image editing tools available in the File Manager, including resizing, cropping, and adjusting brightness and contrast.
He demonstrates applying multiple operations to an image and saving the changes.
The File Manager supports various image editing features similar to Photoshop, making it easy to manage images without external software.
Josh highlights the ability to save favorites for frequently accessed folders to save time.
Advanced File Management Features (20:03)
Josh explains advanced options for managing folders, such as renaming, downloading, and zipping entire folders.
He demonstrates how to remove files or folders if needed.
The File Manager allows users to rename files and folders directly from the interface.
Josh mentions the Video Manager, which will be covered in another session, for managing video files at scale.
Inserting Files Directly into Content (21:34)
Josh introduces the Insert File button at the bottom of the toolbar for quickly inserting files into content.
This method allows users to place files without typing descriptive text first.
The inserted file name and link can be edited later for customization.
Josh emphasizes the flexibility of the File Manager in managing various file types and integrating them into content.
Keywords: Content,creation,workflow,time-saving,high-quality,student,outcomes,audio,file,screen,recording,Camtasia,OBS,generative,AI,digital,double,course,matrix,instructional,design,Otter,PowerPoint,slides
Josh Lomelino's ultimate content creation workflow is designed to dramatically reduce course development time from months to weeks or days by leveraging various content generation methods. His approach ranges from simple audio-only techniques to fully automated workflows using generative AI, with a focus on delivering clear, measurable learning outcomes. The workflow encompasses four progressive methods, starting with basic audio creation and advancing to complex AI-driven content generation that can produce digital avatars, slides, and video content from simple text prompts. By providing a flexible, scalable approach, Lomelino enables content creators to efficiently develop high-quality online courses and educational materials.
Josh Lomelino's ultimate content creation workflow is designed to dramatically reduce course development time from months to weeks or days by leveraging various content generation methods. His approach ranges from simple audio-only techniques to fully automated workflows using generative AI, with a focus on delivering clear, measurable learning outcomes. The workflow encompasses four progressive methods, starting with basic audio creation and advancing to complex AI-driven content generation that can produce digital avatars, slides, and video content from simple text prompts. By providing a flexible, scalable approach, Lomelino enables content creators to efficiently develop high-quality online courses and educational materials.
After this demo, learners will be able to:
Understand the Four Methods of Content Creation
Differentiate between audio-only, screen recording, webcam, and fully automated content generation techniques
Recognize the strengths and limitations of each workflow method
Develop Efficient Content Generation Skills
Apply AI tools like Otter AI, Claude AI, and ChatGPT for script drafting and refinement
Create high-quality educational content using streamlined workflows
Leverage AI Technologies for Course Development
Utilize generative AI platforms for audio, video, and slide creation
Transform content development timelines from months to weeks
Design Learner-Centered Educational Content
Craft clear, measurable learning outcomes
Develop instructional materials that focus on practical skills and immediate application
Implement Scalable Content Production Strategies
Overview of Content Creation workflow 0:09
Josh Lomelino introduces the ultimate content creation workflow class, aiming to reduce course development time from months to weeks or days.
The course will cover a blend of simple to fully automated workflows, starting with simpler methods for quick wins and progressing to advanced approaches.
Emphasis is placed on delivering clear, measurable outcomes and setting up necessary systems from the start.
The course will cover creating basic audio files, screen recording using tools like Camtasia or OBS, and fully automated workflows using generative AI.
Methods of Content Creation 1:30
Josh Lomelino outlines four methods of content creation, ranging from simple to fully automated, with each method providing a different level of complexity and automation.
Method one involves creating audio-only content using tools like Claude AI or ChatGPT to refine scripts and generate final audio files.
Method two involves real-time screen recording using software like Camtasia, capturing both screen content and voice simultaneously.
Method three combines screen recording with live webcam footage, allowing for a more dynamic on-screen presence.
Method four uses AI to generate a digital double video from a recorded vocal track, with AI also generating PowerPoint or Canvas slides.
Detailed Explanation of Methods 2:49
Method one: Josh explains the process of refining raw text into final audio scripts using AI tools and recording the final audio file manually or with AI.
Method two: Josh describes using Camtasia to record both screen and voice simultaneously, minimizing post-production work and suitable for relaxed, adaptable work.
Method three: Josh details recording both screen and webcam footage in one take, requiring careful setup for a consistent on-camera presence.
Method four: Josh explains using AI to generate a digital double video from a recorded vocal track, with AI also generating slides synchronized to the transcript.
Implementation and Integration 10:04
Josh emphasizes the importance of starting with method one and progressing sequentially to method four, explaining the workflows and specific tools used to optimize the process.
The course is designed to provide strategies that can be implemented immediately, with each method providing a different level of automation and complexity.
Josh will demonstrate how to generate scripts, auto-generate audio files, and record both audio and video manually, as well as how to automatically generate PowerPoint and Canvas slides using AI.
The final video will show how to integrate these workflows into Anomaly AMP, providing learners with contextual information and a timeline breakdown.
In this video, Josh Lomelino demonstrates how to create an AI-powered digital voice replica using 11 Labs, enabling content creators to rapidly generate high-quality audio and video content at scale. By training the system with a consistent audio sample, users can produce automated voice performances that sound like their own, allowing them to create lectures, demos, and other content quickly and efficiently. The method involves uploading 1-3 hours of controlled audio recordings, fine-tuning voice settings, and integrating with platforms like HeyGen to automate video production. After watching this tutorial, viewers will be able to develop their own AI voice clone, streamline content creation, and overcome time constraints by generating multiple scripts and videos with minimal manual effort.
In this video, Josh Lomelino demonstrates how to create an AI-powered digital voice replica using 11 Labs, enabling content creators to rapidly generate high-quality audio and video content at scale. By training the system with a consistent audio sample, users can produce automated voice performances that sound like their own, allowing them to create lectures, demos, and other content quickly and efficiently. The method involves uploading 1-3 hours of controlled audio recordings, fine-tuning voice settings, and integrating with platforms like HeyGen to automate video production. After watching this tutorial, viewers will be able to develop their own AI voice clone, streamline content creation, and overcome time constraints by generating multiple scripts and videos with minimal manual effort.
Here are the key things you will be able to do after you watch this demo:
Train an AI voice synthesis system using personal audio recordings
Generate consistent voice replicas with controlled audio samples
Optimize AI-generated voice settings for natural-sounding output
Integrate voice cloning technology with video production platforms
Create automated content at scale using text-to-speech technologies
Manage AI voice generation credits efficiently
Export and store audio files in multiple formats for different applications
Prototype and refine scripts using AI voice technology
Develop a workflow for rapid content creation across lectures, demos, and presentations
Leverage AI tools to overcome time constraints in content production
Creating a Voice Replica Using AI 0:09
Josh Lomelino discusses the use of AI-powered voice synthesis to create a voice replica, emphasizing the challenge of matching human recordings.
He highlights the effectiveness of using text prompts to quickly prototype, test, and revise scripts or generate finished audio files.
Josh mentions his preference for the 11 labs tool, which offers a studio mode for producing longer form audio tracks.
He shares his initial struggles with the tool and how contacting their support provided helpful suggestions.
Training the System for Consistent Output 1:24
Josh explains the importance of training the system with a consistent audio sample to avoid unnatural variations in volume and tone.
He describes his initial mistake of using diverse recordings from different sessions, which led to inconsistent results.
Josh emphasizes the need for a controlled environment with a single, consistent audio sample for better results.
He plans to demonstrate the settings that produce the best results for replicating his voice in the user interface.
Optimizing Generated Audio Files 2:56
Josh advises generating audio sparingly to avoid exhausting monthly credits and recommends starting with smaller sections of text.
He explains the process of refining the output and generating both wave and mp3 audio files for different applications.
Josh mentions the importance of storing both wave and mp3 files for secure storage and project organization.
He notes that it may take several attempts to develop a method that works well for the user.
Exporting and Integrating Audio Files 4:19
Josh describes two methods for uploading audio files to virtual avatars: exporting both wave and mp3 versions or integrating the 11 labs API directly with Hey Gen.
He prefers using the wave audio file for higher quality and to avoid double compression but acknowledges the need to export the mp3 format for larger tracks.
Josh explains the integration of the 11 labs API with Hey Gen, which allows for rapid development of prototypes and large volumes of content.
He mentions the need to break up scripts into manageable sections for efficient processing by the software.
Automating Video Production with AI 6:02
Josh discusses the ability to produce videos at scale by automating both audio and video avatars from text.
He highlights the productivity gains from using AI to generate video scripts and produce audio and video automatically.
Josh notes the cost of AI-generated voice and the strategy of using high-quality audio only when necessary.
He explains the use of draft versions of scripts with Hey Gen's voice replica to refine the script without incurring additional costs.
Finalizing and Exporting Scripts 8:04
Josh describes the process of finalizing scripts and either reading and recording them manually or using the 11 labs integration within Hey Gen.
He mentions the use of a side-by-side display setup with a Google document and video avatar performance for quick edits.
Josh emphasizes the usefulness of this method for high-end projects that require detailed polishing and iteration.
He concludes the demo by encouraging the use of digital voice replicas to scale beyond time constraints and improve productivity.
Keywords: Screen,recording,live,audio,Camtasia,high,resolution,4K,8K,graphics,processing,unit,system,specifications,test,recordings,MP4,file,video,quality,rendering,process,artificial,intelligence,computer,generated,avatar,performance,optimization
In this video, Josh Lomelino teaches how to create high-quality screen recordings with separate audio tracks, providing flexibility in content creation. Viewers will learn technical tips for recording at 4K or 8K resolution, including how to optimize system settings, graphics performance, and recording software. The tutorial demonstrates how to use Camtasia's features like the F9 hotkey to pause and resume recording seamlessly, allowing for more natural and efficient content production. By following these techniques, creators can produce professional-looking screen recordings with minimal post-production editing.
In this video, Josh Lomelino teaches how to create high-quality screen recordings with separate audio tracks, providing flexibility in content creation. Viewers will learn technical tips for recording at 4K or 8K resolution, including how to optimize system settings, graphics performance, and recording software. The tutorial demonstrates how to use Camtasia's features like the F9 hotkey to pause and resume recording seamlessly, allowing for more natural and efficient content production. By following these techniques, creators can produce professional-looking screen recordings with minimal post-production editing.
Configure computer settings for high-resolution screen recording
Optimize graphics acceleration for smooth video capture
Use Camtasia's F9 hotkey to pause and resume screen recordings
Separate screen and audio recording for more flexible content creation
Select appropriate system specifications for 4K and 8K recording
Troubleshoot audio and video synchronization issues
Export screen recordings with optimal file quality settings
Implement a streamlined recording workflow that reduces post-production editing time
Screen Recording and Audio Recording Techniques 0:00
Josh Lomelino introduces the session on creating a screen recording along with a live audio recording.
He explains the benefits of recording screen and audio independently, allowing for more flexibility and less editing time.
Josh mentions the use of a hot key (F9) in Camtasia to pause and resume recording without worrying about facial expressions.
He highlights the ability to pause and resume recording to research or practice, making the final edit seamless.
Technical Challenges and Solutions for High-Resolution Recording 2:02
Josh discusses the technical challenges of recording high-resolution footage, such as 4K or 8K, and the importance of meeting system specifications.
He emphasizes the need for a dedicated graphics processing unit (GPU) to handle the workload and ensure better performance.
Josh advises checking system specifications against recording software to confirm compatibility.
He suggests ensuring the primary monitor supports the desired resolution to avoid issues during recording.
Optimizing Graphics Acceleration Settings 3:13
Josh provides detailed steps to optimize graphics acceleration settings for high-performance recording.
He recommends configuring the graphics card for high performance and setting the operating system to high performance mode.
Josh advises checking the recording software settings for optimal performance.
He suggests running test recordings to ensure audio and video sync and to avoid post-recording editing issues.
Final Export and Rendering Tips 4:35
Josh advises using Camtasia's optimal settings to produce an MP4 file with a quality setting of around 75% for manageable file sizes.
He recommends capturing multiple screen recordings that can be compiled into a single video.
Josh suggests following through with the entire rendering process when exporting the final video.
He concludes the session by encouraging practice and looking forward to seeing the participants' creations.
Keywords: automation,content,creation,production,studio,digital,doubles,video,avatar,text,script,cloud-based,tools,slide,decks,PowerPoint,Canva,training,programs,staff,development,retention,coding,Academy,method,four
Method Four of the Ultimate Content Creation workflow enables creators to automate their entire video production process by leveraging cloud-based tools and digital technology. By mastering this method, content creators can clone their voice, generate video avatars, and produce high-quality training videos and presentations with minimal time and effort. The workflow allows you to transform a simple text script into a fully automated video production, complete with synchronized audio, visuals, and slide decks. Ultimately, this approach empowers busy professionals to scale their content creation without being constrained by traditional time-consuming production methods.
Method Four of the Ultimate Content Creation workflow enables creators to automate their entire video production process by leveraging cloud-based tools and digital technology. By mastering this method, content creators can clone their voice, generate video avatars, and produce high-quality training videos and presentations with minimal time and effort. The workflow allows you to transform a simple text script into a fully automated video production, complete with synchronized audio, visuals, and slide decks. Ultimately, this approach empowers busy professionals to scale their content creation without being constrained by traditional time-consuming production methods.
Here are the key things you will be able to do after you watch this demo:
Clone your voice for digital content creation
Generate automated video avatars
Transform text scripts into complete video presentations
Automate slide deck production in PowerPoint and Canva
Scale content creation with minimal time investment
Develop training materials efficiently
Leverage cloud-based production tools
Create digital doubles of yourself
Streamline video production workflows
Produce high-quality educational content without extensive technical skills
Ultimate Content Creation workflow Overview 0:08
Josh Lomelino introduces method four, which automates the entire content creation process.
This method combines the first three methods but focuses on automation, making it more efficient.
Josh emphasizes the importance of mastering the first three methods before attempting method four.
The method allows for the creation of high-quality content with minimal time, effort, and budget.
Method Four's Impact on Production 1:09
Josh describes the transformative power of method four, which revolutionized his production process.
A potential customer expressed interest in using the method for staff development and retention.
Josh explains how he creates digital doubles of himself to automate the production process.
The method enables large-scale production without the time constraints typically associated with video creation.
Addressing Time Constraints in Content Creation 1:49
Josh shares experiences of customers who face time constraints in creating training programs and classes.
He highlights the challenges of maintaining a busy schedule while keeping up with production demands.
Method four allows for the cloning of voices and creation of audio tracks to generate video avatars.
The method significantly reduces the time required to produce multiple videos.
Automation Capabilities of Method Four 2:29
Josh explains that everything in the final video is fully automated, starting from a text script.
The process involves copying and pasting the script into cloud-based production tools.
High-end computers are not necessary as most of the heavy lifting is done in the cloud.
The method also automates the creation of slide decks in tools like PowerPoint or Canva.
Step-by-Step Process Walkthrough 2:48
Josh mentions that he will walk through each part of the process in the following sections.
The detailed steps will provide a comprehensive understanding of method four.
The process aims to make content creation more efficient and less time-consuming.
Josh emphasizes the importance of understanding each step to effectively implement the method.
Keywords: AI-generated,video,4K,resolution,workflow,optimization,content,longevity,editing,software,avatar,export,quarter,screen,principle,green,workflows,automated,production,performances,audio,files,text-to-performance,tools,cloud,storage,local,backups
In this video, you'll learn how to create a digital double avatar for automated video production, with a focus on optimizing workflow and resolution strategies. You'll discover techniques for producing high-quality avatars, including how to effectively composite 1080p avatars into 4K projects and create flexible avatar sets with multiple poses and angles. The tutorial will guide you through green screen workflows and demonstrate methods for automating avatar performances using audio and text-to-performance tools. By the end, you'll have a comprehensive understanding of how to efficiently generate professional-looking AI-driven video content with your digital avatar.
In this video, you'll learn how to create a digital double avatar for automated video production, with a focus on optimizing workflow and resolution strategies. You'll discover techniques for producing high-quality avatars, including how to effectively composite 1080p avatars into 4K projects and create flexible avatar sets with multiple poses and angles. The tutorial will guide you through green screen workflows and demonstrate methods for automating avatar performances using audio and text-to-performance tools. By the end, you'll have a comprehensive understanding of how to efficiently generate professional-looking AI-driven video content with your digital avatar.
Following are the key things you will be able to do after you watch this demo:
Select optimal video resolution for long-term content creation
Composite avatar videos into 4K projects using the quarter-screen technique
Design flexible avatar sets with multiple camera angles and poses
Implement cost-effective workflows for digital avatar production
Batch produce avatar videos efficiently
Utilize green screen techniques for high-quality avatar generation
Automate avatar performances using audio and text-to-performance tools
Future-proof video content by understanding resolution strategies
Create visually engaging educational or presentation videos with digital avatars
Optimize video production workflow for AI-generated content
Overview of Creating a Digital Double Avatar 0:08
Josh Lomelino introduces the video as an overview of creating a digital double avatar, emphasizing the importance of early workflow considerations for automated video production.
He highlights the significant decision of choosing between HD at 1080p and Ultra HD at 4k or higher, noting that while 1080p is faster and more economical, 4k offers better future-proofing.
Josh recommends producing videos in 4k for longevity, ensuring the platform supports 4k playback, and mentions that Anomaly Amp supports this out of the box.
For cost-effective 4k output, he suggests exporting the avatar at 1080p and compositing it over a 4k background in video editing software like Premiere or Camtasia.
Techniques for Achieving 4k Output 2:12
Josh explains that exporting avatars in 4k can be costly, but exporting at 1080p and compositing it in a 4k project maintains full resolution without quality loss.
He describes the quarter screen principle, where the avatar is positioned in the bottom right-hand corner of the screen, enhancing the learning experience with foreground and background visuals.
Josh advises producing the original avatar in 4k and storing it at full resolution in both cloud storage and local backups, but notes that most people will render videos in 1080p.
He outlines the process of creating an avatar set with multiple camera angles, standing and sitting poses, and options with and without hand gestures, providing a flexible collection for different needs.
Green Screen workflows and Automation 3:33
Josh discusses green screen workflows, offering tips for achieving strong results even without a high-end green screen.
He explains how to batch produce avatars efficiently, saving time with a streamlined workflow.
Josh introduces the concept of fully automating avatar performances using audio files or AI-generated audio and video with text-to-performance tools.
He concludes the demo by mentioning that he will cover these topics in more detail in future videos, encouraging viewers to stay tuned for further instruction.
Keywords: Digital, doubles, AI, tools, lighting, image, quality, training, model, green
In this tutorial, Josh guides viewers through creating high-quality digital doubles using AI technology. By following his detailed workflow, users will learn how to record themselves with optimal lighting, camera angles, and techniques to capture natural movements. The process involves creating multiple avatar variations with a consistent naming system, allowing for seamless video production and editing. After completing the tutorial, viewers will be able to generate professional, versatile digital avatars that can be used across different video projects with ease and consistency.
In this tutorial, Josh guides viewers through creating high-quality digital doubles using AI technology. By following his detailed workflow, users will learn how to record themselves with optimal lighting, camera angles, and techniques to capture natural movements. The process involves creating multiple avatar variations with a consistent naming system, allowing for seamless video production and editing. After completing the tutorial, viewers will be able to generate professional, versatile digital avatars that can be used across different video projects with ease and consistency.
Following are the key things you will be able to do after you watch this demo:
Create multiple avatar variations with a consistent naming system
Record high-quality source footage for AI digital double training
Select optimal recording environments (green screen or natural settings)
Capture multiple camera angles for flexible video production
Apply three-point lighting techniques for professional video quality
Use camera settings to record in 4K resolution
Develop a systematic approach to avatar creation and management
Experiment with different avatar styles and gestures
Optimize video recording for AI digital double learning
Implement a multi-camera editing workflow for seamless avatar transitions
Building Digital Doubles from Scratch 0:08
Josh Lomelino explains the importance of following earlier steps, especially around lighting and image quality, to avoid costly post-production fixes.
He emphasizes the need for a two-minute video of oneself speaking directly to the camera, suggesting the use of a wireless mouse for discreet recording.
Josh prefers recording against a green screen for flexibility in background changes, but acknowledges the natural setting option.
He recommends experimenting with different avatars, using a consistent numbering system for organization, and provides examples of naming conventions for avatar variations.
Creating and Managing Avatars 3:19
Josh discusses the importance of capturing as many versions as possible for each outfit in one session to ensure consistency in hair, lighting, and clothing.
He explains his approach to recording multiple shots or angles simultaneously using different camera angles and a multi-cam edit in video editing software.
The three essential angles he always records are a close-up, a medium shot, and a three-quarter side view.
Josh mentions the challenges some AI tools pose with the three-quarter view but recommends capturing it for added realism and variety.
Recording and Equipment Considerations 4:43
Josh advises using a Logitech 4K webcam for better image quality, though a 1080p camera can also yield decent results.
He shares his experience with different recording devices, including a phone's rear-facing camera in 4K, a webcam, and a DSLR, and emphasizes the need for experimentation.
Josh recommends using the built-in Windows or Mac camera app for recording at the highest resolution possible, with instructions on adjusting settings to force 4K recording.
He advises recording a clip without the green screen, looking straight into the camera, and speaking casually to ensure the digital double learns natural behavior.
Batch Creating Avatars 6:07
Josh introduces a workflow in his video editing software for batch creating avatars, which speeds up the process.
He mentions the importance of recording a clip that is at least two minutes long to avoid issues with awkward movements being mimicked by the avatar.
Josh explains his setup for recording, including using an adjustable camera arm mounted to his desk for flexibility.
He concludes the demo by stating that he will cover more in the next video, indicating the end of the current session.
Keywords: Green screen, virtual avatar, training video, RGB, Ultra Key
In this tutorial, Josh demonstrates how to create a versatile virtual avatar using a green screen background. By following his step-by-step process, viewers will learn to record a training video, use video editing software to remove the background, and export a high-quality 4K file for avatar creation. The technique allows users to generate a digital double that can be placed on any background, enabling them to create numerous training videos, presentations, and lectures without being physically present. Ultimately, viewers will gain the skills to produce an AI avatar that can work continuously, freeing up their personal time while maintaining professional content production.
In this tutorial, Josh demonstrates how to create a versatile virtual avatar using a green screen background. By following his step-by-step process, viewers will learn to record a training video, use video editing software to remove the background, and export a high-quality 4K file for avatar creation. The technique allows users to generate a digital double that can be placed on any background, enabling them to create numerous training videos, presentations, and lectures without being physically present. Ultimately, viewers will gain the skills to produce an AI avatar that can work continuously, freeing up their personal time while maintaining professional content production.
Following are the key things you will be able to do after you watch this demo:
Shoot a training video using a green screen background
Apply the ultra key filter in video editing software
Create a 100% green color matte
Remove background elements from video footage
Export high-quality 4K video files
Generate a virtual avatar using AI software
Render digital doubles for multiple presentations
Layer virtual avatars over different backgrounds
Integrate avatar presentations with PowerPoint and Canva slides
Produce training content without physical studio time
Creating a Virtual Avatar with a Green Screen Background 0:08
Josh Lomelino explains the importance of using a green screen background for creating virtual avatars, emphasizing versatility and ease of use.
He describes the general principle of achieving a 100% green background in the RGB model, noting the difficulty of achieving perfect green.
Josh introduces simple steps to help with the process, including shooting a two-minute training video on a green screen and using 100% green shapes in video editing software.
He demonstrates the use of the ultra key filter in video editing software to eliminate the background and adjust settings like feathering, key color, and matte cleanup.
Setting Up the Green Screen workflow 5:18
Josh explains the creation of a 100% green color matte in video editing software, specifying the width and height to be 4k.
He describes layering the green clip underneath the video track and extending it to the same length as the training clip.
Josh mentions the importance of placing additional green color mats to fix any spillover areas and avoid relying solely on the ultra key effect.
He outlines the process of setting in and out points, exporting the clip as an MP4 file, and using Adobe Media Encoder for batch rendering.
Exporting and Adjusting Settings 8:12
Josh details the export settings, including using the h264 codec for high quality and specifying the file type as MP4.
He emphasizes the importance of evenly lighting the green screen for a better key and mentions common issues like wrinkles and folds.
Josh shows how to create a new avatar in Hey Gen or other virtual avatar software, validating the model by reading a code aloud.
He explains the process of uploading source material, validating the camera angle, and retaining 4k footage for higher resolution renders.
Using the Virtual Avatar in Various Productions 11:27
Josh discusses the flexibility of using the virtual avatar in presentations, lectures, and demos, including mixing with PowerPoint slides and Canvas slides.
He highlights the ability to create unlimited digital doubles and the importance of not checking the AI remove background option.
Josh explains the use of Camtasia's Remove Color effect to key out the green color in the background and the importance of using high-quality settings.
He advises against using proxy footage for making decisions about green screen settings and emphasizes the need for maximum quality settings in video editing software.
Final Steps and Infinite Possibilities 14:54
Josh concludes by mentioning the infinite possibilities of the workflow, including creating presentations directly inside Hey Gen.
He discusses integrating with Canva for timed slide changes and animations, and the option to check the background removal button for a transparent background.
Josh reiterates the importance of using the method shown in the video to achieve 4k production quality, even if it requires a more expensive plan.
He wraps up the demo, encouraging viewers to explore the various applications and approaches for their virtual avatars.
Keywords: batch, avatar, digital-double, production, lighting, setup, color, correction, video, editing, project, HeyGen, encoder
In this tutorial, Josh Lomelino demonstrates a comprehensive workflow for efficiently batch producing multiple virtual avatars with consistent lighting and color quality. Viewers will learn how to set up precise video editing project settings, create a master sequence with multiple camera angles, and use Adobe Media Encoder to render individual clips for avatar training. The technique allows content creators to scale their avatar production, quickly export multiple versions of their digital doubles, and maintain a well-organized project structure that enables future edits and refinements. By following this method, users can streamline their avatar creation process, saving significant time and producing high-quality, professional virtual representations.
In this tutorial, Josh Lomelino demonstrates a comprehensive workflow for efficiently batch producing multiple virtual avatars with consistent lighting and color quality. Viewers will learn how to set up precise video editing project settings, create a master sequence with multiple camera angles, and use Adobe Media Encoder to render individual clips for avatar training. The technique allows content creators to scale their avatar production, quickly export multiple versions of their digital doubles, and maintain a well-organized project structure that enables future edits and refinements. By following this method, users can streamline their avatar creation process, saving significant time and producing high-quality, professional virtual representations.
Following are the key things you will be able to do after you watch this demo:
Configure video editing project settings to match camera specifications
Create a systematic numbering and organization system for avatar sequences
Set up multiple camera angles within a single project
Use Adobe Media Encoder to batch render avatar clips
Export individual video files for virtual avatar training
Implement color correction and LUT modifications across multiple clips
Organize project files for efficient content production
Develop a scalable workflow for mass avatar creation
Troubleshoot and remove performance anomalies in avatar recordings
Back up and preserve digital asset production files
Setting Up Lighting and Color Values 0:08
Josh Lomelino explains the importance of setting up lighting and color values once to achieve consistent results over time.
He emphasizes the need to test lighting and color values before batch producing a group of avatars.
Josh mentions the flexibility to make further adjustments later using L, U, T color modifications or color correction tools.
The workflow allows for the efficient production of 10 to 50 avatars, ensuring visual polish from the start.
Consistency in Project Settings 1:42
Josh highlights the necessity of matching video editing project settings to the specifications of the recording camera.
He provides an example of setting up a project for a Logitech 4k camera and ensuring consistency in frame size and frame rate.
Josh advises checking file properties to extract frame size and frame rate if unsure.
Consistency in project settings is crucial for mass producing different clips.
Creating a Master Sequence 2:59
Josh sets up a master sequence to serve as a template for duplicating sequences as needed.
He uses a clear numbering system for sequences, labeling each avatar with a specific outfit and camera angle.
Examples include Avatar 001, DIRECT address, no hands, and Avatar 0013, quarter view.
Josh organizes sequences in a dedicated folder called a bin for project organization.
Batch Rendering with Adobe Media Encoder 4:56
Josh explains the process of adding clips to a Batch Render Queue using Adobe Media Encoder.
He selects in and out points for each camera angle, creating dedicated files for each angle.
Josh configures the encoder to render only the specified in and out range on the timeline.
Each camera angle should be exported as an individual MP4 file, specifying the folder location and file name.
Finalizing and Organizing Project Files 6:40
Josh emphasizes the importance of organizing project files, including original source files, rendered clips, and project files.
He advises saving the video editing project frequently as a fail-safe for future edits.
Josh highlights the need to review source footage for any performance anomalies and correct them.
The workflow allows for the removal of outdated avatars and recreation without problematic movements.
Backing Up and Scaling Content Production 8:25
Josh frequently backs up his entire project folder by compressing it into a zip file for disaster recovery.
He mentions the time investment upfront to create polished assets and resolve hiccups.
Josh advises starting with manual methods and gradually scaling to more advanced techniques.
The well-organized project structure saves time, enables content production scaling, and supports high-performance results.
Keywords: Automated, performance, audio, file, high-quality, microphone, digital, avatar, recording, Camtasia
Automate Performances from Audio
Learn how to create a professional automated performance using digital avatars by recording high-quality audio and seamlessly integrating it with a virtual presenter. This technique allows you to transform audio recordings into engaging video content, whether from live presentations, scripts, or screen recordings. You'll discover how to export audio files, align a digital avatar's movements, and use chroma key technology to place your virtual presenter on any background. By mastering this workflow, you can produce polished, context-rich video dem
Following are the key things you will be able to do after you watch this demo:
Record high-quality audio using professional recording software
Export audio files in multiple formats (WAV and MP3)
Upload audio recordings to a digital avatar platform
Align digital avatar movements precisely with audio tracks
Render video performances from audio recordings
Remove background using chroma key techniques
Integrate digital avatars into various visual backdrops
Repurpose existing audio from presentations or demos
Create automated video content without on-camera performance
Optimize audio files for different digital platforms
Creating an Automated Performance Using Audio 0:08
Josh Lomelino explains two options for creating an automated performance: using a text-to-speech generated audio file or recording the performance using a high-quality microphone.
He emphasizes that recording with a high-quality microphone yields the best results and will demonstrate this method in the demo.
Josh mentions that the next demo will cover creating a fully automated performance using text, automating the entire process from audio capture to video production.
He notes that while the automated process is efficient, it may not match the quality of a live performance.
Preparing and Exporting Audio Recordings 1:09
Josh discusses the importance of using a high-quality audio file for the best results and mentions uploading the audio recording to a digital avatar.
He explains the need to export an uncompressed WAV file and an MP3 file optimized for web use, highlighting the importance of having both options ready.
Josh typically records his audio directly into Camtasia, which he finds to be the fastest way to capture high-quality audio for quick editing.
He demonstrates how to export a local file and choose between saving it as a WAV or MP3 file, noting that other audio editing tools can also be used.
Generating Video Performance with Digital Avatar 2:29
Josh explains the process of generating a video performance by dragging and dropping the audio file into the project and adjusting the start and end times of the digital avatar.
He mentions exporting the production to render the performance into an MP4 file and downloading it into the project.
Josh highlights the use of the chroma key or ultra key function to remove the background and seamlessly integrate the digital avatar into any backdrop.
He provides examples of using this technique for reading from a script, repurposing audio from live presentations, and creating matching visuals with on-camera performances.
Combining Performance Modalities and Future Demos 3:54
Josh discusses the challenges of managing all three performance modalities (screen recording, audio, and digital avatar) simultaneously and the importance of practicing beforehand.
He explains how to export the audio from a demo, generate a digital avatar, and overlay it onto the video, showing the versatility of combining these elements.
Josh mentions upcoming demos that will cover generating audio using generative AI from text alone, creating a fully automated workflow.
He will also demonstrate automating the creation of slides and the precise timing of each slide's animation, allowing for a completely hands-free production system.
Keywords: Automated, performance, text, video, Otter, AI, voice, clone, Eleven Labs, HeyGen, audio, multilingual
In this video, Josh demonstrates how to create fully automated video performances directly from text using tools like Otter AI, 11 Labs, and HeyGen. Viewers will learn how to generate high-quality voice clones, prototype video scripts, and produce professional-looking content with minimal effort by leveraging AI-powered voice and video generation technologies. The workflow allows content creators to transform written or spoken text into polished video presentations quickly and efficiently. By following Josh's method, users can generate multiple video iterations, edit audio precisely, and create digital avatars that replicate their voice and performance with remarkable accuracy.
In this video, Josh demonstrates how to create fully automated video performances directly from text using tools like Otter AI, 11 Labs, and HeyGen. Viewers will learn how to generate high-quality voice clones, prototype video scripts, and produce professional-looking content with minimal effort by leveraging AI-powered voice and video generation technologies. The workflow allows content creators to transform written or spoken text into polished video presentations quickly and efficiently. By following Josh's method, users can generate multiple video iterations, edit audio precisely, and create digital avatars that replicate their voice and performance with remarkable accuracy.
Following are the key things you will be able to do after you watch this demo:
Generate video scripts from transcribed audio using AI tools
Create high-quality voice clones with consistent audio recordings
Prototype video content using free and paid AI platforms
Optimize voice training for digital avatars
Manage content production across multiple AI environments
Edit audio tracks with minimal credit consumption
Develop a systematic workflow for automated video creation
Replicate personal performance using digital voice technology
Transform text-based content into professional video presentations
Implement cost-effective strategies for video and audio generation
Creating a Fully Automated Performance from Text 0:08
Josh Lomelino explains the process of creating a fully automated performance directly from text, including generating audio prompts using Otter AI.
He describes how he brainstorms ideas while walking and exports the subtitle transcript file, SRT, to process it with AI tools like Claude or ChatGPT.
Josh mentions breaking up long scripts into manageable blocks of 1800 characters and generating a year's worth of content for various platforms.
He emphasizes the use of text, whether written manually or spoken and transcribed, to craft a video script using two primary methods.
Generating High-Quality Voice Clones 1:51
Josh discusses creating a high-quality voice clone using 11 Labs, initially finding the results artificial but later perfecting the settings.
He highlights the importance of using a consistent audio clip for training the voice digital double, ideally around three hours of spoken audio.
Josh explains the challenges of recording consistently for three hours and how he stitches together previous demo recordings to create a large audio clip.
He stresses the need for meticulous tracking of audio settings to ensure uniformity and avoid sudden changes in volume or tonal quality.
Optimizing Audio Recording for Consistency 3:36
Josh shares his experience of recording multiple live sessions with an audience, which infused the audio with personality and energy.
He explains the importance of having consistently dialed-in audio for generating a high-quality performance, as the AI listens to everything in the audio track.
Josh mentions the time and cost involved in using 11 Labs, which can take up to six to eight hours to analyze a voice and build a model.
He advises against using cheaper models, such as the multilingual version one model or turbo 2.5, and recommends upgrading to the multilingual version two model for better results.
Using Hey Gen for Cost-Effective Prototyping 5:35
Josh introduces Hey Gen as an alternative for creating generative content when 11 Labs burns through credits too quickly.
He explains how he trains Hey Gen on his voice by uploading a 10 to 15-minute audio clip and generates unlimited videos for free, depending on the subscription plan.
Josh describes the process of creating prototypes, making real-time adjustments to the script, and rendering multiple takes.
He mentions using his phone in split screen mode while walking to make adjustments on the fly and then copying and pasting the revised script into Hey Gen.
Switching Between Hey Gen and 11 Labs 7:44
Josh explains how he can switch the voice in Hey Gen to the high-quality production voice in 11 Labs with a click of a button.
He highlights the downside of using Hey Gen, which is the risk of losing all credits if there are issues with the audio track in the final video.
Josh prefers using the Studio tool in 11 Labs for targeted editing, which allows regenerating just portions of the audio without redoing the entire clip.
He mentions the benefit of being able to download the WAV file and MP3 file from the Studio tool in 11 Labs as a fail-safe.
Organizing Video Production Phases 9:21
Josh describes his workflow of treating production as two phases: the cheap, free voice phase and the final phase.
He explains the process of pasting the text directly into the Hey Gen editor, listening to the prototype, and resolving issues before creating a new file in Hey Gen.
Josh organizes his videos into two folders: a prototype folder and a final folder, for easy organization of his methods.
He mentions using the multilingual version two model for cost-effective throwaway tests and training his voice with Hey Gen for free prototyping.
Leveraging Digital Doubles for High-Quality Videos 10:34
Josh shares how he uses his digital doubles to replicate a performance of his voice and generate a corresponding video composite.
He explains how he creates a script using Otter AI during a walk, copies and pastes it into his automated workflow, and produces a high-end video with minimal effort.
Josh highlights the benefits of this workflow, which allows him to deliver excellence without skipping a beat, even when small inconsistencies would have derailed the process before.
He concludes by mentioning the next steps in the following videos, which will cover adding automated visual elements on screen behind the virtual avatar.
Keywords: AI, Claude, Chat GPT, brainstorming, video, script, otter, SRT, transcription, generative audio, bulk export, workflow
Generate Ideas with Otter and Claude
Josh demonstrates how to use AI tools like Otter AI, ChatGPT, and Hey Gen to quickly transform brainstorming transcripts into polished video scripts. By leveraging AI's capabilities, creators can capture their ideas, generate scripts, and create content with minimal manual editing. The workflow allows users to convert spoken thoughts into text, refine the script through AI assistance, and produce a final video with a digital avatar or voice clone. Viewers will learn a streamlined process for content creation that dramatically reduces production time and enables rapid, creative video generation.
Following are the key things you will be able to do after you watch this demo:
Capture brainstorming ideas using Otter AI transcription
Export SRT files from recorded thoughts
Convert raw transcripts into structured video scripts
Leverage AI tools to refine and edit content automatically
Break down long scripts into manageable character blocks
Identify and correct potential AI pronunciation challenges
Generate video scripts with minimal manual editing
Prepare scripts for digital avatar or voice clone production
Batch process multiple transcripts simultaneously
Create content at scale using AI-assisted workflows
Using AI Tools for Content Creation 0:09
Josh Lomelino explains how AI tools help him capture ideas and generate content directly from brainstorming sessions.
He uses Otter AI to record his thoughts verbatim, which he then exports as an SRT file for transcription.
The SRT file contains every word spoken along with time codes, making it easy to generate a full video script.
Josh leverages AI tools like 11 Labs and Hey Gen to produce audio and video content from the transcribed text.
Generating Video Scripts from Transcripts 2:00
Josh describes the process of generating a video script from the transcribed text using AI tools.
He explains the difference between having a clear plan and a vague notion for the script.
The AI can capture random ideas and generate multiple scripts within the Otter AI application.
Josh then uses tools like Claude AI or ChatGPT to expand and refine the generated scripts.
Collaborative Writing with AI 2:35
Josh aims to create a video script that his digital double can read aloud, reducing the need for extensive editing.
He explains the collaborative writing process between himself and AI tools to generate drafts and revisions.
The ultimate goal is to use AI to create a polished video script without spending hours on manual editing.
Josh emphasizes the importance of spending time to perfect the AI prompting process.
workflow for Converting SRT Files 3:51
Josh demonstrates the workflow for converting an SRT file into a video script using Otter AI and Notepad.
He highlights the importance of checking the prompts document for time-saving methods.
Josh explains two methods for creating video scripts: word-for-word transcription and general direction.
He provides detailed prompts for ChatGPT to convert SRT files into 1800-character blocks.
Handling Rough Brainstorming Transcripts 7:40
Josh discusses handling rough brainstorming transcripts that require more assistance from AI tools.
He explains the need to be mindful of checking each word when using AI to generalize the transcript.
Josh provides a prompt for ChatGPT to convert the SRT file into a video script and fix grammatical issues.
He emphasizes the importance of ensuring the script is readable by the AI digital double.
Challenges with AI-Generated Scripts 10:06
Josh mentions potential challenges with AI-generated scripts, such as mispronunciation by the digital double.
He explains the time-consuming process of manually correcting AI-generated scripts.
Josh introduces a prompt for a cleanup pass to automatically correct readability issues.
He advises copying and pasting the corrected script into the video script document for backup.
Finalizing the Video Script 12:23
Josh explains the final steps of rendering the script as a prototype using a free voice clone.
He advises listening to the playback and adjusting the script for pronunciation issues.
Once satisfied with the prototype, the final audio can be generated using tools like 11 Labs.
The final audio clip can then be uploaded to a virtual avatar software for the final on-screen performance.
Batch Processing Multiple SRT Files 13:21
Josh highlights the option to bulk export multiple SRT files from the Otter AI app for time savings.
He explains how this process can be applied to a whole folder of SRT files.
This method allows for the creation of massive amounts of content quickly and easily.
Josh concludes the demo by encouraging viewers to try the process for themselves.
Keywords: Automation, AI-generated, content, slides, video background, SRT, transcript
Automate Slide Data Creation
In this demo, Josh Lomelino reveals a powerful workflow for automating on-screen elements and slide creation using AI tools. Viewers will learn how to transform a transcript into a fully automated slide deck by leveraging AI platforms like Claude and ChatGPT to generate inspirational content with precise timing. The technique allows content creators to automatically generate slide content, export it to a CSV file, and prepare for seamless PowerPoint or Canvas slide production. By following this method, users can save significant time in presentation creation and eliminate manual slide transitions.
Following are the key things you will be able to do after you watch this demo:
Generate automated slide content using AI transcription tools
Extract precise time codes from transcripts for slide transitions
Transform raw transcripts into structured slide presentations
Use AI prompts to create inspirational and motivational slide copy
Convert slide data into JSON and CSV formats
Automate slide creation across multiple platforms (PowerPoint, Canvas)
Optimize slide timing and pacing for engaging presentations
Leverage AI tools to reduce manual presentation development time
Export transcription data for seamless content repurposing
Create consistent and professional slide decks without manual intervention
Automating On-Screen Elements with AI 0:09
Josh Lomelino introduces the demo, focusing on automating on-screen elements for lectures or demos.
He explains the use of AI-generated voice, digital double avatar, and automated slide content.
Josh emphasizes the importance of the vocal track in automating the entire performance.
He mentions using either an SRT file or transcription tools like Otter AI or Loom for accurate time codes.
Using Loom for Precise Time Codes 1:24
Josh advises using Loom for more accurate time codes compared to Otter AI.
He explains the challenges of automating slide transitions and the importance of precise time codes.
Josh demonstrates how to export the SRT file and use it for automating slide transitions.
He highlights the need for accurate time codes to avoid manual recording and timing issues.
Generating Slide Content with AI 4:38
Josh shows how to use Claude AI to generate slide content based on the SRT file.
He explains the process of copying the SRT file into memory and using AI prompts to generate slide content.
Josh suggests making the slide content inspirational and motivational.
He emphasizes the importance of comparing and mixing AI-generated content to get the desired outcome.
Adjusting Slide Transition Timing 6:10
Josh discusses the importance of slide transition timing and how it affects the video's pacing.
He suggests using a fixed number of slides and adjusting the transition timing based on the video's feel.
Josh explains how to increase or decrease the number of slides while maintaining the conversational tone.
He highlights the need for accurate time codes to ensure smooth slide transitions.
Handling Time Code Issues 8:13
Josh addresses potential issues with time codes and suggests using Loom for more accurate data.
He explains how to adjust the number of slides based on the video's length and transition timing.
Josh provides prompts for asking AI tools to generate the correct number of slides and time codes.
He emphasizes the importance of accurate time codes for automating slide transitions.
Exporting Slide Data to Excel 12:53
Josh shows how to export the slide data to an Excel file from AI-generated JSON data.
He explains the process of copying and pasting JSON data into an Excel file.
Josh suggests using a fail-safe strategy if the direct export method doesn't work.
He highlights the importance of having a clean data source for generating slides automatically.
Transforming JSON Data to CSV 13:59
Josh demonstrates how to transform JSON data into a CSV file using ChatGPT.
He explains the process of copying JSON data into ChatGPT and generating a CSV file.
Josh provides prompts for handling issues with special characters and ensuring clean data.
He emphasizes the importance of having a CSV file for automating PowerPoint or Canvas slides.
Final Steps for Automating Slides 18:03
Josh explains how to use the CSV file to generate PowerPoint or Canvas slides automatically.
He highlights the power of having all the necessary data for automating the presentation.
Josh mentions that the next demo will cover generating PowerPoint and Canvas slides in detail.
He concludes the demo by summarizing the key steps and the benefits of automating the presentation process.
Re-order Items
Once you complete this video, you’ll be able to confidently reorder classes, units, and individual content items within your content management system. You’ll learn how to move items, folders, and entire classes to customize the sequence of your content with just a few clicks. The demo shows how to update the order both during content creation and after the fact, ensuring your workflow stays organized and flexible. By mastering these tools, you’ll have full control over the structure and flow of your content.
Following are the key things you will be able to do after you watch this demo:
Reordering Content Items 0:10
Josh Lomelino explains the ability to reorder classes, units, and content, emphasizing the flexibility to sequence content.
Users can reorder content items within a folder (unit) or move entire folders and classes.
The process of reordering content involves specifying an order number for new items or leaving it blank for automatic placement at the end of the unit.
Users can reorder content items by selecting a class, navigating to a unit, and using the "reorder content" feature.
Shuffling Content Items 2:49
Josh demonstrates how to shuffle content items within a unit by selecting specific items and reordering them.
He creates a screenshot as a reference to ensure he can revert changes if needed.
The interface allows users to move items to different positions, with a zero indicating the first position in the sequence.
Accidental duplicates are handled by the system, ensuring a sequential process and proper reordering.
Refreshing and Verifying Changes 4:48
Josh refreshes the page to verify that the reordered content items are in the correct sequence.
He demonstrates the process of reordering content items in a different class to show the flexibility of the system.
Users can modify the order number of content items directly or use the "reorder content" feature for more control.
The system automatically updates the order of content items, ensuring a seamless reordering process.
Reordering Units 6:18
Josh explains how to reorder units within a class, using the "reorder units" feature.
He demonstrates moving a unit to a different position in the sequence, with all related content items moving accordingly.
The process involves selecting a class, navigating to the desired unit, and reordering the units.
Users can update the sequence of units to better organize their content flow.
Handling Class Reordering 7:49
Josh mentions the need to reorder classes only if the home page of classes requires a different sequence.
The process of reordering classes is similar to reordering units and content items.
Users can update the order of classes to reflect their preferred sequence.
The system provides flexibility in managing the flow of content, units, and classes.
Summary and Next Steps 8:43
Josh summarizes the various ways to reorder content, units, and classes, emphasizing the flexibility of the system.
He concludes the demo by mentioning the next topic, which is about locking and unlocking content.
The demo aims to showcase the powerful automation and flexibility of the content management system.
Users are encouraged to explore the different features to optimize their content organization and workflow.
Unlock the secrets to creating a winning product by mastering the art of problem identification, stakeholder mapping, and innovative solution design. This demo guides you through defining high-impact “wicked problems,” breaking them into solvable pain points, and transforming insights into powerful features. You’ll learn to harness agile methods, leverage research tools, and build out a minimum viable product that stands out in the marketplace. Step by step, you’ll gain the skills and strategies needed to turn big ideas into real-world success.
Unlock the secrets to creating a winning product by mastering the art of problem identification, stakeholder mapping, and innovative solution design. This demo guides you through defining high-impact “wicked problems,” breaking them into solvable pain points, and transforming insights into powerful features. You’ll learn to harness agile methods, leverage research tools, and build out a minimum viable product that stands out in the marketplace. Step by step, you’ll gain the skills and strategies needed to turn big ideas into real-world success.
After completing this video, viewers will be able to confidently approach product development by identifying significant "wicked problems" and breaking them down into actionable pain points. They will learn to map stakeholders and use strategies like the 5W method to thoroughly understand issues and the people affected. Equipped with primary research skills and tools for stakeholder and ecosystem mapping, learners will be ready to define a clear path toward building an impactful minimum viable product (MVP). Ultimately, participants will leave with a framework to turn ambitious ideas into organized, actionable project plans.
Following are the key things you will be able to do after you watch this demo:
Defining the Problem and Initial Steps 0:11
Josh Lomelino discusses the daunting task of starting with a blank white screen and the importance of defining the problem to be solved.
He emphasizes the need for a problem-solving approach, focusing on specific workflow issues like ordering groceries.
The process involves mapping out pain points and converting them into solutions, which become features of the minimum viable product (MVP).
Josh explains the importance of maintaining a product mindset and the continual iterative process of discovery, design, and refinement.
Understanding the Minimum Viable Product (MVP) 2:03
Josh elaborates on the concept of an MVP, describing it as the minimum thing needed for a shippable product.
He highlights the risk of scope creep and the need to focus on essential features.
The development arc is described as a three-step process: discovery, design, and refinement, which repeats continuously.
Josh mentions various forms MVPs can take, including apps, web apps, native apps, games, and books.
Identifying Wicked Problems 4:59
Josh introduces the concept of a "wicked problem," which is complex, interconnected, and has no clear solution.
He explains the criteria for identifying wicked problems, including their complexity and the lack of a clear solution.
The importance of understanding the people affected by the problem is emphasized, with personas being used to define the target audience.
Josh provides examples of wicked problems, such as tracking auto repair warranties and bike repairs.
The 5W Strategy and Stakeholder Identification 8:49
Josh introduces the 5W strategy (who, what, when, where, why) to help identify and solve wicked problems.
He explains the importance of focusing on the people affected by the problem and identifying stakeholders.
Josh provides an example of a receipt tracker app and the various stakeholders involved, such as the end user, the company, and the battery manufacturer.
The process of mapping out stakeholders and understanding their roles is crucial for defining the ecosystem map.
Creating an Ecosystem Map and Using Tools 11:37
Josh discusses the creation of an ecosystem map, which defines the landscape and actors involved in the problem.
He explains the use of tools like Miro and Figma to create prototypes and answer questions from the ecosystem map.
The importance of defining the MVP and building backlogs and agile sprint lists is highlighted.
Josh assigns an action step for participants to come up with five to seven big picture problems and identify stakeholders and pain points.
Research and Data Mining 14:44
Josh emphasizes the need for primary research to validate and refine the identified problems and pain points.
He suggests using AI tools like ChatGPT to search forums and Reddit for discussions related to the pain points.
The importance of being led by interest and passion in solving the problem is reiterated.
Josh concludes the session by encouraging participants to focus on the action steps and start mapping out the problems and stakeholders.
Discover how to take your app idea from concept to high-fidelity MVP with lightning speed in this hands-on demo! You’ll learn how to organize product requirements, train AI tools using your own user stories, and craft powerful prompts that supercharge no-code and low-code platforms like Lovable and Thunkable. Watch step-by-step as we merge user insights, automate prototype creation, and iterate rapidly to build a functional, customizable app without writing code. Whether you're a founder, designer, or developer, this demo will empower you to launch better products, faster.
Discover how to take your app idea from concept to high-fidelity MVP with lightning speed in this hands-on demo! You’ll learn how to organize product requirements, train AI tools using your own user stories, and craft powerful prompts that supercharge no-code and low-code platforms like Lovable and Thunkable. Watch step-by-step as we merge user insights, automate prototype creation, and iterate rapidly to build a functional, customizable app without writing code. Whether you're a founder, designer, or developer, this demo will empower you to launch better products, faster.
After watching this video, viewers will be able to efficiently structure and document their product ideas, train AI tools with custom user stories and requirements, and generate detailed prompts for building full-featured app prototypes. They'll learn how to merge, organize, and optimize user stories to maximize productivity and reduce costs with AI-driven app builders like Lovable and Thunkable. By following these steps, viewers can rapidly create, customize, and iterate on high-fidelity MVPs, preparing their apps for further refinement and deployment. This workflow empowers users to leverage multiple no-code platforms and streamline their app development from concept to actionable prototype.
Following are the key things you will be able to do after you watch this demo:
Understanding Pricing and Pre-Composing Chats 0:11
Josh Lomelino explains the importance of understanding pricing in AI apps, emphasizing that credits are tied to prompts and chats.
He advises pre-composing chats in tools like ChatGPT to avoid high costs in apps like Lovable, which charge based on daily credits.
Josh demonstrates how to go back to prior steps in ChatGPT to train the system on user stories and features.
He highlights the need to ensure the chat is trained universally across all chats, otherwise, it needs to be asked to do so explicitly.
Training and Managing Chats 4:53
Josh discusses the process of training chats on system functionality, using SRT files as an example.
He explains the incremental compounding of work in Lovable, which makes it costly to start chatting without a well-defined prompt.
Josh emphasizes the importance of optimizing the use of credits to avoid high costs, comparing it to the cost of a development team.
He mentions the potential for the browser to choke on large chats and the need to break them into manageable parts.
Merging and Organizing User Stories 7:17
Josh demonstrates how to merge multiple chats to create a faster and more efficient chat.
He explains the process of outputting user stories as a CSV and the challenges with special characters in CSV files.
Josh suggests exporting as an Excel file to fix formatting issues.
He highlights the importance of incrementally building a pipeline to automate the creation of front-end interface screens.
Enhancing User Stories with Features and Acceptance Criteria 9:36
Josh adds a feature column to the user story backlog, differentiating it from user story language.
He includes acceptance criteria, which helps in testing and identifying the area within the app where the feature would exist.
Josh emphasizes the importance of documenting key wins and moments in a Google Doc for future reference.
He explains the process of comparing the current chat output with a saved Word file to ensure completeness.
Creating a Master Prompt for Lovable 17:44
Josh discusses the process of creating a master prompt for Lovable, which includes context, logical structure, explicit instructions, and adaptive considerations.
He highlights the need for granular detail to get specific UI controls in the prompt.
Josh explains the importance of saving the output as a Google Doc or GitHub repository for version control.
He demonstrates how to rewrite the master prompt to include all features in one MVP release.
Training Lovable on Documentation 42:48
Josh trains Lovable on the documentation of the tool, which helps in creating a prompt for Lovable.
He explains the process of crawling through the documentation pages and listing the pages learned from.
Josh emphasizes the importance of checking that the AI is actually doing what it claims to do.
He demonstrates how to extract and summarize recommendations from the AI.
Refining and Customizing the App 45:00
Josh refines and customizes the app by adjusting colors and mastering prompting.
He explains the process of using chat mode to plan additional features like a coach and admin portal.
Josh demonstrates how to toggle between different device types to test the app on various form factors.
He highlights the importance of iterating on the app to ensure it meets user needs and pain points.
Exploring Different Tools and Integrations 49:51
Josh explores different tools like Thunkable, Bubble IO, Cursor, Replit, Flutter Flow, and Draftbit.
He explains the process of training the AI on the documentation of these tools to create a single prompt.
Josh highlights the importance of integrating tools like Supabase and Airtable for data management.
He emphasizes the need to experiment with different tools to find the best fit for the project.
Finalizing the MVP and Next Steps 1:04:33
Josh finalizes the MVP by ensuring all features are included in the prompt.
He explains the process of exporting the code base and pushing it to GitHub for further development.
Josh highlights the importance of iterating on the app to ensure it meets user needs and pain points.
He explains the next steps of refining and customizing the app, and preparing it for deployment to the app stores.
Unlock the power of AI to supercharge your product design process! This demo guides you through capturing raw ideas via voice recordings, organizing them into agile user stories with Otter and ChatGPT, and rapidly turning those insights into working app prototypes using Figma Make. You’ll learn to mine your own thoughts for powerful features and pain points, map these to real user needs, and supercharge your workflow with cutting-edge tools. By the end, you’ll be ready to turn any burst of inspiration into design-ready prototypes and actionable development steps.
Unlock the power of AI to supercharge your product design process! This demo guides you through capturing raw ideas via voice recordings, organizing them into agile user stories with Otter and ChatGPT, and rapidly turning those insights into working app prototypes using Figma Make. You’ll learn to mine your own thoughts for powerful features and pain points, map these to real user needs, and supercharge your workflow with cutting-edge tools. By the end, you’ll be ready to turn any burst of inspiration into design-ready prototypes and actionable development steps.
In this video, you'll learn how to transform your brainstorming sessions and unstructured ideas into actionable agile user stories using AI tools and Otter transcription. By following the process demonstrated, you'll discover how to mine your thoughts for key features and pain points, then organize them into structured requirements. Viewers will see how to use these user stories to generate rapid app prototypes with tools like Figma Make and refine them for a real-world project. By the end, you'll have the methods and confidence to turn your random ideas into clear, design-ready prototypes and workflows.
Following are the key things you will be able to do after you watch this demo:
Here is the template you can clone to define your app.
Click here to get the ultimate prompt cheat sheet of every prompt used end to end.
Click here to get the 10 step workflow summary guide and supplemental resources.
AI-Driven Prototype Development Process 0:09
Josh Lomelino explains the process of creating AI-driven prototypes using tools like Figma, Proto.io, and others.
The goal is to create a template that can be integrated into manual prototypes, eventually leading to a full app experience using tools like Lovable or Bubble.
Emphasis on the importance of a clear product definition and agile user stories for successful AI development.
Josh demonstrates how to train a chat on app features and user stories, using his app "Reclaim You" as an example.
Training ChatGPT for User Stories 4:30
Josh shows how to train ChatGPT on audio brainstorming sessions using Otter for transcription.
He explains the process of exporting SRT files from Otter and using them as inputs for ChatGPT.
The goal is to capture random thoughts and ideas, which AI can then organize into structured user stories.
Josh demonstrates how to ask ChatGPT to learn from the audio files and generate actionable insights for app features and user stories.
Data Mining and Feature Identification 10:13
Josh discusses the importance of data mining and research to identify core pain points and features for the app.
He shows how to ask ChatGPT to create lists of pain points, issues, and challenges from the data set.
The process involves categorizing pain points into broad buckets like health and wellness, planning and process, motivation and mindset, teaching and engagement.
Josh emphasizes the need for a clear understanding of pain points to develop effective product solutions.
Generating Agile User Stories 17:52
Josh explains how to use ChatGPT to create detailed agile user stories based on the identified pain points.
He demonstrates the process of training ChatGPT on the framework of pain to solution for creating user stories.
The goal is to generate a comprehensive list of user stories that can be used to guide the development of the app.
Josh shows how to create personas for different user groups and generate user stories for each persona.
Prototype Generation with Figma Make 25:43
Josh introduces Figma Make as a tool to generate prototype screens based on the agile user stories.
He explains the process of describing the app in Figma Make, including the app store description and features.
The tool generates HTML code for the prototype screens, which can then be manually refined.
Josh emphasizes the importance of using multiple tools and integrating their outputs to create a comprehensive prototype.
UI Framework and Stencils 35:30
Josh discusses the importance of selecting a UI framework for the final app experience.
He demonstrates how to use UI kits like Bootstrap UI and Material UI to create a consistent UI workflow.
The goal is to ensure that the prototype screens match the final app experience as closely as possible.
Josh shows how to use stencils to quickly create UI elements and save time in the development process.
Reviewing and Refining the Prototype 45:41
Josh explains the importance of reviewing and refining the prototype to ensure it meets the project requirements.
He demonstrates how to identify and fix broken links and other issues in the prototype.
The process involves iterating on the prototype, incorporating feedback, and refining the UI elements.
Josh emphasizes the need for a clear and accurate input to get the best output from AI tools.
Final Steps and Best Practices 46:18
Josh outlines the final steps in the AI-driven prototype development process.
He emphasizes the importance of saving chat history and project documentation for future reference.
The goal is to create a comprehensive and accurate prototype that can be used as a starting point for the final app development.
Josh encourages the use of multiple tools and integrating their outputs to create a robust and functional prototype.
This demo walks you through a dynamic, actionable framework for transforming user pain points into a Minimum Viable Product (MVP) using Agile user stories. You'll learn how to brainstorm and document personas, reframe core problems as needs, and translate those into actionable features with step-by-step guidance. The session demonstrates both hands-on manual methods and the use of powerful AI tools—like ChatGPT—to rapidly generate and refine user stories, making the product development process more efficient. By the end, you'll be equipped with practical strategies to build, organize, and launch your own MVP, leveraging proven workflows and modern AI support.
This demo walks you through a dynamic, actionable framework for transforming user pain points into a Minimum Viable Product (MVP) using Agile user stories. You'll learn how to brainstorm and document personas, reframe core problems as needs, and translate those into actionable features with step-by-step guidance. The session demonstrates both hands-on manual methods and the use of powerful AI tools—like ChatGPT—to rapidly generate and refine user stories, making the product development process more efficient. By the end, you'll be equipped with practical strategies to build, organize, and launch your own MVP, leveraging proven workflows and modern AI support.
In this video, viewers will learn a practical framework for developing a Minimum Viable Product by systematically transforming user pains into actionable features through needs analysis and Agile user stories. By following along, participants will discover how to brainstorm and document user personas, define core problems, and leverage AI tools to accelerate feature development. Completing the video equips viewers with the skills to map out, organize, and build a comprehensive feature backlog tailored to their users' needs. Ultimately, you’ll be able to apply this structured approach to launch your own MVP efficiently and effectively.
Here is the template you can clone to define your app.
Click here to get the 10 step workflow summary guide and supplemental resources.
Click here to get the ultimate prompt cheat sheet of every prompt used end to end. Below is the Prompt Atlas showing the 8 categories of prompts in the prompt cheat sheet guide.
Following are the key things you will be able to do after you watch this demo:
Introduction to MVP and Ecosystem Mapping (0:00:09)
Josh introduces the concept of the Minimum Viable Product (MVP), emphasizing the importance of defining pain points, needs, and features for different stakeholders and mapping the overall project ecosystem
Three-Part Agile User Story Process (0:00:09)
Josh outlines a sequential framework: converting pains into needs and then into features, which are written as Agile user stories, highlighting the value of progressing step-by-step rather than jumping directly to user stories.
Business Vision Planning and Personas (0:08:36)
The importance of developing user personas is discussed, showing how various archetypes (e.g., medical doctors, programmers, teachers) help clarify specific needs by associating real-life pains and developing empathy-driven solutions.
Pain, Need, and Feature Transformation (0:18:15)
Demonstrates, with the example of a medical doctor, how individual pains are rewritten into user needs and further translated into actionable features, using empathetic design as a core principle.
Manual and AI-Assisted User Story Generation (0:27:50)
Josh explains how manually defining the framework prepares for leveraging AI tools, which accelerate the process of drafting needs and Agile user stories for each persona.
Leveraging AI for Brainstorming and Data Mining (0:37:51)
Describes incorporating AI chatbots (e.g., ChatGPT, Gemini) to quickly generate, format, and expand user stories and pain points, as well as methods for data mining common user problems using AI.
Persona and Backlog Development workflow (0:47:00)
Shares how organizing and summarizing ideas with AI and mind mapping tools streamlines persona development and backlog creation, allowing for comprehensive project planning and smoother team collaboration.
Iterative Process and Documentation Completion (0:55:56)
Details the ongoing, iterative approach of developing user personas and scenarios, curating and refining user stories, and documenting all features in structured formats for future product development steps.
Creating Multilingual Videos
After completing this video, viewers will know how to create and translate audio and video content into multiple languages using advanced AI-powered workflows. They will be able to generate synchronized lip-sync performances, dubbed audio, and accurate subtitles for up to 36 languages, ensuring a seamless user experience for international audiences. Users will also be able to integrate these multilingual assets into platforms like Amp, allowing viewers to easily switch between languages. This process empowers content creators to efficiently mass produce and manage localized video content for diverse learning environments.
Following are the key things you will be able to do after you watch this demo:
Click here to see and get each tool used in this demo.
Examples Shown in this Demo
Overview of Multilingual Video Creation 0:08
Josh Lomelino introduces the demo overview for creating multilingual videos and integrating them into Anomaly Amp.
Discusses the three methods for delivering multilingual content: audio-only, translation services, and advanced methods.
Highlights the advanced method's ability to generate performances with audio and video in sync in multiple languages.
Mentions the demo will focus on the advanced method, which offers the best user experience.
Preparing the Source Material 3:55
Josh emphasizes the importance of using a high-quality WAV file for the best translation and quality.
Demonstrates the process of preparing the source material, whether it's live or generated.
Explains the steps involved in exporting the audio file as a WAV or MP3.
Discusses the benefits of using a WAV file for better translation and quality.
Translation Process Using 11 Labs 7:08
Josh explains the translation process using 11 Labs, which provides the best translation and vocal performance.
Details the steps for creating a dubbing project in 11 Labs, including specifying the source and target languages.
Discusses the benefits of using multiple speakers and disabling voice cloning for better performance.
Demonstrates the process of uploading and translating an audio file using 11 Labs.
Spot Checking Translations 13:29
Josh shows how to spot check translations using AI translation services if a full translation team is not available.
Explains the process of exporting the translated audio file and re-translating it back to English for validation.
Highlights the importance of having a review team to ensure accuracy.
Discusses the steps for implementing multiple languages into Anomaly Amp.
Advanced Method Demonstration 21:05
Josh demonstrates the advanced method, which generates performances with audio and video in sync in multiple languages.
Explains the sequential process of preparing the source material and translating it using 11 Labs.
Discusses the benefits of using a digital double for creating multilingual videos.
Demonstrates the process of uploading and generating the translated video file.
Integrating Multilingual Videos into Anomaly Amp 28:08
Josh explains the process of integrating multilingual videos into Anomaly Amp.
Discusses the options for switching between languages on the fly.
Demonstrates the steps for creating a new page in Anomaly Amp and uploading the multilingual video.
Highlights the benefits of using Vimeo's advanced tools for managing multilingual videos.
Handling Subtitles and Closed Captions 35:00
Josh discusses the options for handling subtitles and closed captions in multilingual videos.
Demonstrates the process of adding subtitles and closed captions in Vimeo.
Explains the benefits of using AI translation services for generating subtitles.
Highlights the importance of ensuring the subtitles and closed captions are accurate and synchronized.
Implementing Multiple Language Pages 58:30
Josh explains the process of creating multiple language pages in Anomaly Amp.
Discusses the benefits of having a separate page for each language.
Demonstrates the steps for creating and linking the multiple language pages.
Highlights the importance of organizing the content based on the target audience's language preferences.
Text Translation and Localization 59:19
Josh discusses the importance of text translation and localization for multilingual content.
Demonstrates the process of translating text using Google Translate.
Explains the benefits of having a review team to ensure the accuracy of the translated text.
Highlights the importance of localizing the entire site for a seamless user experience.
Architecting the Multilingual Experience 1:04:46
Josh discusses the different ways to architect the multilingual experience in Anomaly Amp.
Explains the benefits of having a separate class for each language.
Demonstrates the steps for organizing the content based on the target audience's language preferences.
Highlights the importance of choosing the best method for delivering multilingual content.
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