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Going deeper
Building the Curriculum Framework 0:02
Josh Lomelino discusses the progress made on the initial curriculum framework and the transition to building out additional details.
Emphasis on focusing on actions and outcomes, particularly in Unit 2, which involves improving health markers.
Josh outlines the milestones and action steps, including setting up a health dashboard and creating a vision plan for health markers.
The importance of aligning action steps with outcomes and ensuring they are written in outcomes form.
Defining Action Steps and Milestones 1:03
Josh details the three milestones and associated action steps for improving health markers.
The action steps include getting medical labs, setting up a health dashboard, and creating a vision plan.
Josh emphasizes the need to reuse and adapt these action steps for other parts of the curriculum.
The growth arc for students involves becoming aware of their health markers, visualizing their current state, and planning for improvement.
Mapping Action Steps to Outcomes 5:12
Josh explains the process of mapping action steps to outcomes and ensuring they align with the journey arc.
The final matrix is used to record and validate the teaching plan, ensuring it helps students achieve their goals.
Josh copies and pastes action steps as a starting point, emphasizing the importance of alternating colors for clarity.
The matrix helps in structuring and organizing the curriculum, making it easier to see the progress and alignment with outcomes.
Developing Assessments and Teaching Topics 6:52
Josh introduces the concept of assessments and their role in the curriculum, using a lecture-demo-apply model.
The importance of aligning assessments with outcomes and ensuring they contribute to higher levels of learning.
Josh discusses the process of breaking down assessments into smaller tasks and ensuring they are correlated with outcomes.
The need for a structured approach to course mapping, moving from lower to higher levels of Bloom's Taxonomy.
Creating a Structured Curriculum Plan 14:33
Josh emphasizes the importance of having a clear plan for each unit, including teaching topics and assessments.
The lecture-demo-apply model is used to structure the curriculum, with lectures focusing on conceptual understanding and demos on application.
Josh outlines the process of creating a demo for setting up a health dashboard and a vision plan.
The importance of having a placeholder for tools and resources that will be developed later in the process.
Iterative Development and Refinement 21:24
Josh describes the iterative process of developing the curriculum, including taking walks to brainstorm ideas.
The use of AI to query and organize thoughts, creating structured outlines and assignment sheets.
The importance of having a clear labeling system for organizing curriculum content.
Josh emphasizes the need to wait until the plan is solid before creating content to ensure it aligns with the success path.
Finalizing the Curriculum Plan 33:57
Josh discusses the final steps in the curriculum development process, including copying and pasting items into project management software.
The importance of having a clear plan for each unit, with each topic mapped to an outcome.
Josh emphasizes the need for a final check to ensure there are no dangling topics or content that does not align with outcomes.
The focus on success and ensuring that the curriculum helps students move towards their goals.
Here are some strategies to make the curriculum development process more iterative and adaptable:
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:
003 - Continue Programming your Character
In this session we will be brainstorming your creative ideas for your character. Follow along and create your brainstorming sketches.
Get started with Processing by clicking here to load the editor.
Check out the student example, project-a" target="_blank" rel="noopener">the Moody Ninja
Also, check out the student example, project-1" target="_blank" rel="noopener">Josh's Water Bottle.
005 - Create a digital drawing to finalize your project direction
Getting Started
This introductory programming session focuses on teaching beginners how to write actual computer code using an Integrated Development Environment (IDE), specifically the Processing language. Josh Lomelino emphasizes learning programming logic and algorithms by creating computer graphics, starting with building a simple character like a robot. The approach aims to provide a lightweight, accessible entry point into programming that can be applied across multiple programming languages. By starting with practical, hands-on coding, participants will learn fundamental programming concepts while creating visual, interactive projects.
Here are the key things you will be able to do after you watch this demo:
Set up and navigate an Integrated Development Environment (IDE)
Write basic computer code using the Processing programming language
Create simple computer graphics and draw characters on screen
Understand fundamental programming logic and algorithm development
Translate programming concepts across multiple coding languages
Build foundational skills in computer graphics programming
Apply logical thinking to solve computational problems
Recognize the basic structure and syntax of a programming language
Develop a beginner's understanding of how computers interpret and execute code
Create interactive visual programs from scratch
Introduction to Programming and IDEs 0:01
Josh Lomelino emphasizes the importance of taking immediate action and introduces the concept of writing computer code from the start.
He explains the need for an Integrated Development Environment (IDE) to write and run code, highlighting its versatility in supporting various programming languages.
Josh mentions several programming languages that can be used within an IDE, including Python, Java, C++, C#, Swift, JavaScript, and even C.
He stresses that the focus will be on learning logic and creating algorithms, rather than getting bogged down in the choice of specific languages.
Building a Character and Computer Graphics 2:02
Josh announces the first project: building a character, specifically a robot, which will serve as the foundation for computer graphics.
He explains that the principles learned in this project will be applicable to various fields, from video games to animated movies.
The project aims to introduce the basics of computer graphics, which are essential for understanding more complex programming concepts.
Josh introduces the language Processing, which is based on other existing languages and will be used for the initial programming exercises.
Advantages of Processing Language 2:39
Josh highlights the benefits of using Processing, including its lightweight nature and the ability to build things quickly.
He notes that other languages may require more setup and have additional overhead, which can complicate the learning process.
Processing is chosen for its simplicity and the ease with which it can be applied to other programming languages.
The next video will cover the steps to set up an IDE and begin building logic and computer graphics programs.
Next Steps and Conclusion 3:38
Josh outlines the plan for the next video, which will focus on setting up an IDE and starting to build logic and computer graphics programs.
He reiterates the importance of understanding logic and how it can be applied to create powerful programs.
The goal is to make the computer perform cool tasks by applying logical thinking and programming concepts.
Josh concludes the session by encouraging participants to prepare for the next steps and expresses excitement for the upcoming projects.
Write your First Program
Get started with Processing by clicking here to load the editor.
Copy and paste the code below into Processing to load exactly like I show in the video above.
function setup() { createCanvas(400, 400);}
function draw() { background(220); ellipse(200,200,100,100); }
Get started with Processing by clicking here to load the editor.
Check out the student example, project-a" target="_blank" rel="noopener">the Moody Ninja
Also, check out the student example, project-1" target="_blank" rel="noopener">Josh's Water Bottle.
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.
Anomaly Studios Done for you Services
Launching a product or service can be tough. You totally could implement each core piece of your marketing strategy directly into Anomaly AMP, leveraging our powerful marketing funnels, landing pages, website and blog tools, and online membership and sales features. But even with all those resources, attracting customers, and keeping up with the pace of content development and advertising implementation can feel like a real challenge.
We've been there. We understand the struggle. That's why my team is ready to help you build a solid foundation for growth. We'll partner with you to develop compelling pre-launch content, cultivate a targeted audience, and help you create a successful seed launch, setting you up for scalable success.
(view in landscape on mobile to see the stages in detail)
Here is a PDF download of your Success Path that you can print and put on your wall. This is our growth framework.These are the five phases of growth and this will help you see the big view. This is how the Anomaly Studios team can help you grow—strategically and systematically.
The Deliverables section at the bottom of the printout above shows each key step or deliverable in the growth sequence. Each phase has 3-5 action steps. Once completed we move on to the next phase and unlock increasing levels of growth. We figured this all out the hard way and now you get to benefit from the streamlined steps in our growth framework.
(view in landscape on mobile to see the stages in detail)
The PDF download above outlines a phased approach with detailed sprints and tasks to efficiently develop, launch, and scale the product offering. The PDF printout is organized in five phases from left to right. It includes deliverables such as an onboarding process to define the vision, business analytics and market research to validate the positioning, testing of marketing models and lead magnets, a pre-launch offer with revenue automation, and the final development of an optimized evergreen sales funnel. When we meet we can create the statement of work and define the roles and responsibilities ensure a collaborative and streamlined process. Each number and deliverable in teal is a key step or deliverable in the process to build sustainable and ongoing growth and traffic.
It’s important to know that you are working with the best when you work with Anomaly Studios. Our team is composed of award-winning designers, content strategists, video editors, traffic strategists, and more to help you bring your product to life and to market at whatever level you need us. Several of our project leads have one or more graduate degrees specifically in this space.
For example Ryun who took his own YouYube channel to 1.5 MM subscribers and over a billion views on youTube.
Or Nick, an award-winning instructional designer and writer who has crafted world-class content and educational experiences for some of the world’s top universities.
Claire is one of our visual designers who helps your products and user experience look amazing.
Shara is our data wizard that helps you architect your traffic channels and affiliate partners research.
And you can work directly with me as your launch strategist and team leader to help orchestrate the team to make it all come to life.
These are just a few of my team you can work with.
How big do you want to go?
How fast do you want to grow?
Where do you fall on the DIY to done-for-you spectrum?
After you have thought about the three questions above, Schedule a Meeting with my Zoom meeting calendar integration at a time that works for you or email me at joshua@anomalystudios.com.
If you would like to invite others to the Zoom meeting simply add them (shown below). Everyone can align their calendars with the invites that are sent out from my Calendar Hero integrations.
Your DNS
This video provides a comprehensive guide on how to set up DNS and SSL/TLS configurations for a website using Cloudflare. By following the steps demonstrated, viewers will be able to configure the necessary DNS records, including an A record and a CNAME record, to properly direct traffic to the origin server and leverage Cloudflare's security features. These techniques can be applied to another CDN (content delivery network) if you are not using cloudflare.
Here are the key things you will be able to do after you watch this demo:
Configure DNS records, including an A record and a CNAME record, to direct traffic to the origin server.
Explain the purpose and benefits of enabling the "proxied" setting for DNS records to enhance security.
Differentiate between the various SSL/TLS encryption mode options (full, flexible, strict) and apply the appropriate configuration to establish a secure connection.
Evaluate SSL connections by interpreting browser security indicators and certificate details.
Recognize the option to use a custom SSL certificate branded to the domain and describe the process to deploy it on both the Cloudflare edge server and the origin server.
Collaborate with Cloudflare support to set up advanced SSL certificate configurations for specific use cases.
Demonstrate the overall process of setting up DNS and SSL/TLS for a website, including the necessary steps and considerations to ensure a secure and reliable connection.
Troubleshoot and resolve any issues that may arise during the DNS and SSL/TLS setup process.
Communicate the technical details and benefits of the implemented DNS and SSL/TLS configurations to stakeholders.
Apply the knowledge gained from this demo to set up secure and reliable web infrastructure for future projects.
Cloudflare DNS Setup Instructions (0:02)
Josh Lomelino explains the need to create two records: an A record and a CNAME record to direct traffic to the anomaly amp server.
The A record should have the website name as the host and the provided IP address as the value.
Proxied should be turned on to hide the origin server's IP address, making the connection more secure.
The A record should be saved after entering the IP address.
Adding the CNAME Record (2:09)
Josh Lomelino instructs to add a CNAME record with the host set to www and the value set to the website name (e.g., www.createmedia.com).
The CNAME record ensures that www.websitename.com redirects to the main website and supports SSL.
Proxied status should be set to cloak the origin server's IP address.
The CNAME record configuration ensures that SSL is enabled for www subdomains.
Configuring SSL Settings in Cloudflare (3:21)
Josh Lomelino discusses the SSL/TLS encryption mode options: full, flexible, and strict.
Full mode ensures an SSL certificate between the user and Cloudflare, and between Cloudflare and the origin server.
Flexible mode allows SSL between the user and Cloudflare but not between Cloudflare and the origin server.
Strict mode provides the strongest SSL connection but requires testing to ensure full mode is working first.
Testing and Troubleshooting SSL Connections (6:20)
Josh Lomelino explains the process of testing SSL connections by checking the browser's security icon.
The security icon indicates whether the connection is secure and provides details about the SSL certificate.
Users can check if they are using a shared certificate or a custom certificate branded with their domain.
Most users won't need to drill down to the certificate details, but the techniques shown cover most use cases.
Advanced SSL Certificate Management (6:40)
Josh Lomelino mentions the option to purchase a custom SSL certificate for the Edge server.
High-end experiences may require deploying a custom certificate to the origin server.
Advanced support may be needed to install the custom certificate on the origin server.
Most cases don't require a custom certificate, but the option is available for enhanced security.
Final Steps and Troubleshooting Tips (8:54)
Josh Lomelino summarizes the DNS and SSL setup process, ensuring a working SSL certificate between the user and Cloudflare.
The final step is to test the setup in the browser to ensure the SSL connection is secure.
Users can check the certificate details to verify the SSL configuration.
Josh Lomelino offers to answer any questions and encourages users to reach out for further assistance.
Student Examples project #1
The Moody Ninja
Final Source Code in P5 JS Editor
Moody Ninja Final Presentation (Quick time file link - embedded stream above in the page)
Student Example 2 - project 1
Video Presentation MP4 file (also embedded above).
Master Script Framework
After completing this video, viewers will be able to develop a master script framework for producing a full year of unique, inspirational Instagram reels. They will learn how to batch-create scripts, add descriptions and hashtags, and spot-check content for quality and consistency. The video guides users through automating the content creation process, organizing everything in one place, and preparing for efficient scheduling and posting. By following these steps, viewers can streamline their social media production and ensure their messaging remains engaging and on-brand.
Here are the key things you will be able to do after you watch this demo:
Develop a master script framework for content creation
Generate and batch unique weekly scripts
Spot-check and refine content for quality and consistency
Automate the production and organization of social media assets
Schedule and prepare posts for efficient publishing
Integrate descriptions and hashtags for each script
Critique and adjust content to maintain brand messaging
Developing the Master Script Framework 0:09
Josh Lomelino explains the importance of developing a master script framework to allow AI to rapidly produce content.
The sequence is a 52-week sequence with the final outcome being Instagram reels, which will also be used for ads.
The feedback loop will be used to create Canvas slides for simple posts on Facebook and Instagram.
Josh will be working on a startup product that is in its beginning stages, creating content from scratch.
Initial Tests and Experimentation 1:47
Josh shows a demo of initial tests to figure out how to proceed with social media content.
The first test involves a digital spokesperson promoting a game, with different voices and accents.
Josh emphasizes the need for 52 weeks of content and trains ChatGPT on the product.
The process involves starting with a brand new chat and training ChatGPT on the game description.
Training ChatGPT and Generating Scripts 5:26
Josh begins training ChatGPT by asking for a 15-second script for an Instagram reel.
The goal is to generate a sequence of 52 video scripts for Instagram reels.
Josh requests ChatGPT to provide a list of titles thematically broken down for each week.
The focus is on creating thought-provoking content that generates interest and shareability.
Refining the Scripts and Thematic Breakdown 9:09
Josh continues to refine the scripts, ensuring they are thematically broken down.
The process involves saving snapshots of the training process to keep the framework on track.
Josh emphasizes the importance of critiquing and providing feedback to steer the model in the right direction.
The goal is to create a strong starting point for the rest of the social media calendar.
Finalizing the Scripts and Automating Production 16:18
Josh finalizes the first script as a test and generates the video in 4K.
The process involves duplicating the project, pasting the script, and using different voices.
Josh demonstrates how to generate all 52 weeks of scripts, ensuring each week is unique and inspirational.
The final step involves copying and pasting the scripts into a Google Doc for easy management and scheduling.
Managing the Social Media Calendar 24:44
Josh explains the importance of having Instagram descriptions and hashtags for each script.
The process involves saving the framework and ensuring all future scripts follow the combined format.
Josh spot checks the scripts to ensure they stay on track and provide feedback as needed.
The goal is to have everything ready for scheduling and posting on social media platforms.
Setting Up the Video Production Pipeline 32:43
Josh outlines the next steps for setting up the video production pipeline.
This includes selecting voices, actors, and actresses for the brand.
The process involves using Showbiz to produce each of the 52 videos.
Josh emphasizes the importance of having a fast and easy pipeline for production.
Finalizing the Year's Worth of Content 41:53
Josh continues to batch produce the remaining scripts, ensuring they are unique and inspirational.
The process involves spot checking the scripts and providing feedback to keep the model on track.
Josh demonstrates how to manage the entire year's worth of content in one spot.
The final step involves generating the entire year's content and ensuring it is ready for scheduling and posting.
Anomaly AMP Channel Partner Starting
Josh Lomelino is the founder of Anomaly Studios and creator of the Anomaly AMP platform. He previously ran a service-based business but struggled with the constant fight for survival and lack of control over his time and finances. Anomaly AMP is a platform he built to automate and scale his business, providing a way to earn recurring passive. Now he's opening up that same passive income power available to through an affiliate program that offers commissions on referred customers simply by sharing our free resources.
After you have watched the video above, create your account for the channel partner program at the bottom of this page or by clicking here.
To create financial projections go to our revenue calculator and click “recurring.” Then enter $99.4 for 20% of the Anomaly A.M.P. subscription and enter 1 customer per month (or the number you think you can get). As you enter customers per month for onboarding the financial information appears below as monthly, annually, and cumulative across years if you keep up with the cadence of one customer per month on average. This compounds exponentially.
Launch the Calculator and click the recurring tab.
One Customer Per Month Example
Five Customers Per Month Example
Keywords: audio,recording,microphone,quality,live,studio,interface,phantom,power,sample,rate,uncompressed,format,pop,filter,level,balancing,Camtasia,Studio,file,organization,voice,clone,AI,avatar,sound,absorption
This video provides a comprehensive guide to professional audio recording for content creators, focusing on essential equipment and techniques for high-quality sound production. Viewers will learn how to select the right microphone, set up a proper recording environment, and use audio interfaces and editing tools to capture clean, professional-grade audio. By following Josh Lomelino's expert advice, participants will be able to create polished audio recordings suitable for workshops, demos, podcasts, and even AI-generated video content. The tutorial equips creators with practical skills to improve their audio recording process and produce more engaging, professional-sounding content.
This video provides a comprehensive guide to professional audio recording for content creators, focusing on essential equipment and techniques for high-quality sound production. Viewers will learn how to select the right microphone, set up a proper recording environment, and use audio interfaces and editing tools to capture clean, professional-grade audio. By following Josh Lomelino's expert advice, participants will be able to create polished audio recordings suitable for workshops, demos, podcasts, and even AI-generated video content. The tutorial equips creators with practical skills to improve their audio recording process and produce more engaging, professional-sounding content.
Here are the key things you will be able to do after you watch this demo:
Select an appropriate high-quality microphone for professional audio recording
Set up a clean, noise-free recording environment
Configure audio interfaces and software for optimal sound capture
Choose the correct sample rate and recording format
Use a pop filter and mic positioning techniques to improve audio quality
Perform audio test recordings and evaluate sound levels
Utilize audio editing tools for recording and post-production
Implement file organization strategies for audio projects
Export audio files in various formats for different content needs
Create consistent, professional-grade audio recordings for workshops, demos, and presentations
Prepare audio recordings for potential AI avatar or voice clone generation
Troubleshoot common audio recording and equipment setup challenges
Basic Method of Production 0:09
Josh Lomelino explains the simplicity and power of recording thoughts and ideas using just a microphone.
Live recordings during workshops or demos are more engaging but harder to edit if mistakes are made.
Studio recordings allow for pauses and polished takes but require maintaining a natural and conversational tone.
The importance of a high-quality microphone and a quiet, clean recording space is emphasized.
Microphone Setup and Recording Quality 1:31
Josh recommends the AKG condenser mic for its clean, detailed sound, which requires phantom power.
The Shure 57 microphone is mentioned as a versatile option for various recording situations.
The Zoom H6 USB audio interface is preferred for its compatibility with various software like Camtasia.
Recording at 48,000 Hz instead of the default 44.1 Hz is suggested to preserve audio detail.
Audio Recording Practices 3:18
Josh advises recording in an uncompressed format like WAV until the final export to avoid audio degradation.
Ensuring the computer and audio interface are set to the same sample rate prevents speed mismatches.
The use of a pop filter and an adjustable mic arm helps maintain consistent audio quality.
Test recordings and listening on different devices help ensure balanced sound levels.
Audio Editing and Tools 4:53
Josh mentions various audio editing tools like Audacity, Adobe Audition, Pro Tools, and FL Studio.
Camtasia Studio is recommended for its convenience in recording and managing audio projects.
The Auto Normalize feature in Camtasia helps maintain consistent volume throughout recordings.
Exporting recordings as MP3s allows for generating on-camera videos using AI avatars.
File Organization and Studio Setup 5:55
A consistent naming system for recordings and exports is crucial for easy retrieval and updates.
Avoiding rooms with echo and using soft materials to absorb sound helps improve recording quality.
A good studio setup, including soundproofing and proper equipment, is essential for high-quality recordings.
Josh hints at a future demo on creating a voice clone, which requires clean and consistent audio recordings.
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: 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: 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.
This welcome video guides your through a comprehensive, actionable UX design process that transforms innovative ideas into market-ready products. Viewers will learn how to uncover customer pain points, develop clear user personas, and rapidly iterate prototypes using Lean UX principles. The session demonstrates how to map out product strategies, conduct usability testing, and seamlessly prepare for product launch. Whether you’re a founder, designer, or product manager, this demo equips you with the tools to accelerate time-to-market and deliver a superior user experience.
This welcome video guides your through a comprehensive, actionable UX design process that transforms innovative ideas into market-ready products. Viewers will learn how to uncover customer pain points, develop clear user personas, and rapidly iterate prototypes using Lean UX principles. The session demonstrates how to map out product strategies, conduct usability testing, and seamlessly prepare for product launch. Whether you’re a founder, designer, or product manager, this demo equips you with the tools to accelerate time-to-market and deliver a superior user experience.
After completing this video, viewers will understand a proven, step-by-step UX design process that turns innovative ideas into market-ready products with efficiency and clarity. They will be equipped to map out customer pain points, prioritize features, and create user personas that drive actionable insights. The video empowers participants to build and refine rapid prototypes, conduct usability testing, and confidently guide products toward a successful launch. By following this process, viewers can accelerate time to market and deliver a seamless, customer-focused experience.
Following are the key things you will be able to do after you watch this demo:
Introduction to UX Design Process 0:00
Josh Lomelino introduces himself and expresses excitement about showcasing user experience design examples.
He emphasizes the importance of the Lean UX approach, which transforms innovative ideas into market-ready products efficiently.
The focus is on demonstrating the power and flexibility of their UX design process through various phases.
Josh mentions that he will show UX prototypes to illustrate each phase in context.
Phase One: Building the Foundation for Innovation 0:41
Josh explains that the first phase involves a deep dive into understanding the key questions about the product.
The goal is to identify customer and business pain points and map out the vision.
This phase involves a forensic exploration of customer pain points and proposing solutions.
The outcome is a laser-focused blueprint that transforms abstract concepts into actionable insights.
Phase Two: Execution Strategy and Rapid Ideation 1:48
In this phase, the focus is on turning insights into a rapid ideation process.
The team visualizes the customer experience and creates an actionable roadmap.
Detailed customer experience mapping is performed for strategic feature prioritization.
The approach is agile, allowing for a dynamic roadmap that adapts and evolves.
Phase Three: Product Leadership and Strategic Alignment 2:34
Josh describes this phase as connecting strategic dots to ensure every feature aligns with business objectives.
The product team and UX team become strategic partners, aligning product vision with business objectives.
The outcome is a unified strategic narrative and the basis for an actionable project plan.
The team starts building the product and approaches the MVP stage.
Phase Four: Pre-MVP Development and Product Reconnaissance 3:14
This phase involves identifying potential barriers before building the rapid prototype.
Product and technical reconnaissance is critical for success, uncovering technological limitations and design challenges.
The goal is to prevent future roadblocks and identify technology opportunities.
The team finalizes the pre-MVP development, ensuring a smooth transition to the next phase.
Phase Five: UX Design and Persona Development 4:03
Josh highlights the importance of user experience research in this phase.
The team creates detailed customer scenarios, mapping each pain point to specific system features.
The focus is on translating user research into detailed personas for rapid prototyping.
This phase brings interfaces to life with precision and continuous iteration.
Phase Six: Building the Rapid Prototype 4:47
The team transitions from paper sketches to interactive wireframes, moving from low to high fidelity.
Continuous feedback is gathered at each key point of the process, making adjustments as needed.
The goal is to go from imagination to a tangible experience, seamlessly integrating business logic into interface solutions.
The team progressively refines the prototype, ensuring it meets user needs and business objectives.
Phase Seven: Usability Testing and Continuous Refinement 5:27
Usability testing is conducted with continuous feedback and multiple rounds of revisions.
The focus is on continuous user experience refinement and evidence-based design solutions.
The team aims to hit the bullseye together, ensuring the product meets user needs and business objectives.
The process involves systematic improvement, leading to a polished final product.
Phase Eight: Finalizing Visual Design and Product Identity 5:49
Once the user experience is locked in, the team develops comprehensive style guides.
The goal is to create a comprehensive brand experience, going beyond aesthetics.
The development team gains a clear understanding of the visual voice of the product.
The team defines icons, typography, color, and user interface consistency.
Phase Nine: Design and Documentation for Development 6:35
As the project nears the end, the team prepares technical specifications and development guidelines.
The focus is on creating a seamless handoff to the development team.
The team provides technical blueprints and detailed implementation guidelines.
The goal is to ensure a smooth transition to development and preparation for launch.
Phase Ten: Launch and Final Transformation 6:57
The final phase involves transforming the prototype into a live product.
The team helps with the MVP launch, either using the client's development team or their tech stack.
The team provides all final specifications and the digital prototype from prior steps.
Clients can optionally choose to accelerate their time to market by leveraging the SAS MVP accelerator.
Conclusion and Call to Action 8:41
Josh emphasizes the importance of transforming concepts into reality.
The team has invested over 15,000 hours developing a framework that reduces front-end development time.
The mobile-first responsive architecture offers instant scalability and reduced technical complexity.
The team offers to partner with clients to augment design and technology efforts, ensuring a successful launch.
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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