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Creating a Curriculum Plan End to End
Creating Engaging Curriculum Plans 0:04
Josh Lomelino introduces the process of creating curriculum plans that engage and empower students, blending accredited programs with public-facing classes.
He shares a personal anecdote about a professor's advice on being a "sage on the stage" versus a "guide on the side," emphasizing the importance of learner engagement.
Josh discusses the principles of game design and the importance of motivation in creating engaging learning experiences.
He highlights the need to align curriculum planning with the question, "What can I do with this?" to make learning meaningful and actionable.
Framework for Aligning Program and Course Outcomes 6:28
Josh introduces a framework shared by Julie Basler, the nationwide accreditation director, which aligns program and course outcomes.
He explains the triangular approach, starting with the school mission, followed by program missions, program outcomes, and finally, class competencies.
Josh emphasizes the importance of mapping these outcomes to specific class-level outcomes to create targeted and efficient courses.
He shares his experience of optimizing the workflow to create entire course plans in less than a day, significantly reducing the time and effort previously required.
Success Path Planning and Journey Mapping 20:10
Josh introduces the concept of success path planning and journey mapping, using a UX design approach to create a motivational learning experience.
He explains the stages of a learner's journey, from awareness to success, and the characteristics associated with each stage.
Josh discusses the importance of using the right verbs to describe success milestones and outcomes, aligning them with the learner's progress.
He provides an example of mapping course outcomes to specific milestones and action steps, ensuring a clear path for learners to achieve their goals.
Bloom's Taxonomy and Hierarchy of Learning 46:58
Josh introduces Bloom's Taxonomy as a framework for designing learning outcomes, outlining the different levels of learning from knowledge to evaluation.
He explains the importance of using specific verbs at each level to describe the types of learning activities and outcomes.
Josh provides a cheat sheet for Bloom's Taxonomy, listing verbs for each level to help in writing outcome statements.
He emphasizes the need to build a foundation of knowledge and comprehension before moving to higher-order thinking skills like analysis and evaluation.
Creating Course Outcomes and Mapping to Lessons 1:07:43
Josh demonstrates the process of creating course-level outcomes using Bloom's Taxonomy, starting with knowledge and moving to evaluation.
He provides examples of course outcomes and maps them to specific lessons and activities, ensuring alignment with the overall learning goals.
Josh discusses the importance of using the right verbs to describe what learners will be able to do, making the outcomes actionable and measurable.
He emphasizes the need to continuously refer back to the course outcomes to ensure that all lessons and activities support the desired learning objectives.
Curriculum Planning Matrix and Assessment Mapping 1:33:43
Josh introduces the curriculum planning matrix, a tool for mapping course outcomes to specific lessons and assessments.
He explains the structure of the matrix, including metadata, time tracking, and assessment mapping, to create a cohesive and purposeful learning experience.
Josh demonstrates how to map weekly outcomes to specific lessons and activities, ensuring that each lesson supports a clear learning objective.
He emphasizes the importance of aligning lessons with course outcomes and using the matrix to track progress and measure success.
Detailed Curriculum Planning Example 1:33:58
Josh provides a detailed example of a curriculum plan for a social media and digital marketing class, demonstrating the complete planning process.
He explains the metadata, time tracking, and assessment mapping for the class, including the total hours required and the distribution of activities.
Josh highlights the importance of aligning lessons with course outcomes and using the curriculum planning matrix to ensure a cohesive and purposeful learning experience.
He emphasizes the need to continuously review and refine the curriculum to ensure it meets the learning goals and supports the success of the learners.
Final Steps and Tools for Curriculum Planning 1:35:42
Josh summarizes the key steps in the curriculum planning process, including brainstorming phases, mapping outcomes, and creating detailed lesson plans.
He emphasizes the importance of using the right verbs and aligning lessons with course outcomes to create a motivational and engaging learning experience.
Josh provides tools and resources, including templates and cheat sheets, to help in the curriculum planning process.
He encourages continuous review and refinement of the curriculum to ensure it meets the learning goals and supports the success of the learners.
Creating a Curriculum Plan End to End 1:35:58
Josh Lomelino introduces the concept of a built-in scheduling tool for planning and deadlines.
Discussion on the use of rubrics for assessment, especially in public-facing courses.
Josh explains the assignment sheet and its role in outlining the entire assessment process.
High-level goals and outcomes are outlined, emphasizing the end-to-end planning process.
Project Scenario and Assignment Steps 1:42:58
Josh emphasizes starting with a project scenario and providing examples and rationale.
The assignment steps are flexible, ranging from 16 weeks to as short as five weeks.
Each assignment is broken down into specific steps with submission information and a rubric.
The rubric includes categories like business overview, customer avatars, competitive research, and a process book.
Grading and Accreditation Preparation 1:45:07
Josh discusses the importance of grading and rubrics for accreditation purposes.
The process involves pre-planning grading points and distinct grading categories.
External documentation is used before executing the plan within an LMS.
The document is not completed in one pass but unfolds week by week.
Success Path and Competency Development 1:47:18
Josh outlines the success path from initial unhappiness to transformation.
Focus on teaching students to develop the necessary competencies.
Thinking creatively and getting away from the computer helps in the ideation process.
Josh plans to use audio recordings to capture free-forming thoughts and ideas.
Leveraging AI for Content Creation 1:50:39
Josh explains the use of AI tools like Otter AI to transcribe audio recordings.
The transcript helps generate learning outcomes and lesson plans from the speaker's own words.
The process involves recording thoughts in sequence and combining them into a single file.
The final output provides a structured outline for content creation.
Finalizing the Curriculum Plan 2:08:57
Josh emphasizes the importance of having a clear success path with five to six phases.
The final output includes a detailed transcript and summary of ideas.
The process helps in creating targeted content that aligns with the success path.
The final matrix serves as a knowledge base for querying and generating new ideas.
Implementing the Plan 2:12:18
Josh discusses the importance of mapping ideas to specific phases of the success path.
The process involves querying the knowledge base for lesson ideas and action items.
The final matrix includes practical tips and techniques for developing a healthy lifestyle.
The approach ensures that the curriculum is actionable and moves learners towards their goals.
Refining the Content 2:15:00
Josh plans to refine the content by focusing on specific lessons and their details.
Each lesson is dedicated to a single audio recording and subsequent transcription.
The process helps in generating detailed video scripts and lesson plans.
The final output includes a clear structure for the entire course experience.
Creating a Knowledge Base 2:22:41
Josh emphasizes the importance of creating a knowledge base for future reference.
The knowledge base includes all key steps, tools, and resources used in the process.
The approach ensures that the final curriculum is comprehensive and actionable.
The knowledge base serves as a resource for continuous improvement and content creation.
Final Thoughts and Encouragement 2:23:38
Josh encourages participants to query their own brains and use AI tools for brainstorming.
The process helps in generating a variety of assets and content ideas.
The final matrix includes a detailed outline for the entire course experience.
The approach ensures that the curriculum is designed to help learners achieve their goals and become raving fans.
Here are strategies you can use to create engaging and motivational learning experiences for students.
Here are some key strategies Josh Lomelino discussed for creating engaging and motivational learning experiences:
About Us
Hi, it's Josh and Ruth!
We are so glad you stopped by. We are educational practitioners and specialists and partner with educational institutions to help bring transformational learning experiences where they matter most.
"We help teach students to be dreamers, thinkers and doers."
Firstly, we know that teaching is hard on multiple levels.
Getting the "light bulb" to turn on and stay on for students is not easy.
When talking with teachers, this is the type of feedback we hear from them. We commonly hear the following three themes.
Furthermore, there are other common challenges that make teaching and learning even more challenging. We have found these additional challenges fall into one or more of the following five categories.
Image Slider Component Demo
This video provides a comprehensive guide on how to set up and optimize image sliders for websites with a focus on mobile-first design. Viewers will learn how to leverage pre-designed slider templates, properly size and export slider images, and integrate the sliders into a content management system (CMS) while ensuring optimal responsiveness across different devices and form factors. By following the steps demonstrated, users will gain the skills to create high-quality, mobile-friendly image sliders that provide an engaging and seamless experience for their website visitors.
1172 pixels wide by 580 pixels tall (1172 x 580) are the best dimensions for the billions of devices on the market. That's what we have found is ideal and will work everywhere. With the template linked on this page in the supplemental resources (also shown in this demo) you can drag and drop images into sliders. Or you can make your very own images from scratch using the concepts shown in the demo.
Understand the importance of mobile-first design and responsive layout considerations when setting up image sliders on a website.
Identify the safe zones and optimal image dimensions for creating mobile-friendly sliders that avoid text and content cutoff.
Utilize developer tools to test and analyze the responsiveness of image sliders across different device form factors and orientations.
Access and leverage pre-designed slider templates to quickly create high-quality, mobile-optimized sliders.
Effectively edit, export, and optimize slider images for web performance, ensuring fast loading times and minimal bandwidth consumption.
Integrate and manage slider images within a content management system (CMS), including uploading, cropping, and linking functionality.
Apply best practices for maintaining the recommended slider image dimensions and safe zones when directly editing and modifying images in the CMS.
Setting Up Image Sliders on Websites (0:00)
Josh Lomelino introduces the topic of setting up image sliders on websites, emphasizing their use on the home page and other pages.
He highlights the importance of mobile responsive design, showing how sliders can be clicked through and swiped on different devices.
Josh explains the concept of mobile-first design and how to use developer tools to toggle between different device formats.
He mentions the importance of optimizing sliders for various form factors, including landscape and portrait modes.
Optimizing Sliders for Mobile Responsive Design (2:01)
Josh discusses the challenges of ensuring text visibility and avoiding text cutoff in sliders.
He demonstrates how to test sliders using developer tools and highlights the importance of keeping key information within the safe zone.
Josh shows an example of a slider that is not optimized and compares it to a well-optimized one, emphasizing the need for proper image cropping.
He explains how to use developer tools to analyze the responsiveness of sliders on different devices.
Using Templates for Image Sliders (4:28)
Josh introduces templates linked on the page that help users create amazing sliders with minimal effort.
He explains how to use the home page slider design template in Photoshop or other applications like GIMP or Canva.
Josh demonstrates how to open the PSD file, turn visibility on and off for different slider layouts, and add text overlays.
He emphasizes the importance of safe regions and proper image dimensions for optimal display on various devices.
Implementing and Optimizing Sliders (10:13)
Josh shows how to drag and drop images into the template and export them for use on the website.
He explains the importance of optimizing images for mobile to ensure fast loading times and minimal bandwidth consumption.
Josh demonstrates how to export images using Photoshop's "Save for Web" feature and adjust file sizes for optimal performance.
He shows how to upload and integrate the exported image into the CMS, ensuring proper linking and formatting.
Managing Images in the CMS (13:22)
Josh explains how to modify existing sliders or create new ones in the CMS.
He demonstrates how to specify the number of items in a slider and link images to specific pages.
Josh shows how to upload images directly into the CMS and ensure they are properly formatted and linked.
He explains how to use the CMS to crop and modify images directly, maintaining the recommended dimensions for mobile responsiveness.
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.
Keywords: Screen,recording,live,audio,Camtasia,high,resolution,4K,8K,graphics,processing,unit,system,specifications,test,recordings,MP4,file,video,quality,rendering,process,artificial,intelligence,computer,generated,avatar,performance,optimization
In this video, Josh Lomelino teaches how to create high-quality screen recordings with separate audio tracks, providing flexibility in content creation. Viewers will learn technical tips for recording at 4K or 8K resolution, including how to optimize system settings, graphics performance, and recording software. The tutorial demonstrates how to use Camtasia's features like the F9 hotkey to pause and resume recording seamlessly, allowing for more natural and efficient content production. By following these techniques, creators can produce professional-looking screen recordings with minimal post-production editing.
In this video, Josh Lomelino teaches how to create high-quality screen recordings with separate audio tracks, providing flexibility in content creation. Viewers will learn technical tips for recording at 4K or 8K resolution, including how to optimize system settings, graphics performance, and recording software. The tutorial demonstrates how to use Camtasia's features like the F9 hotkey to pause and resume recording seamlessly, allowing for more natural and efficient content production. By following these techniques, creators can produce professional-looking screen recordings with minimal post-production editing.
Configure computer settings for high-resolution screen recording
Optimize graphics acceleration for smooth video capture
Use Camtasia's F9 hotkey to pause and resume screen recordings
Separate screen and audio recording for more flexible content creation
Select appropriate system specifications for 4K and 8K recording
Troubleshoot audio and video synchronization issues
Export screen recordings with optimal file quality settings
Implement a streamlined recording workflow that reduces post-production editing time
Screen Recording and Audio Recording Techniques 0:00
Josh Lomelino introduces the session on creating a screen recording along with a live audio recording.
He explains the benefits of recording screen and audio independently, allowing for more flexibility and less editing time.
Josh mentions the use of a hot key (F9) in Camtasia to pause and resume recording without worrying about facial expressions.
He highlights the ability to pause and resume recording to research or practice, making the final edit seamless.
Technical challenges and Solutions for High-Resolution Recording 2:02
Josh discusses the technical challenges of recording high-resolution footage, such as 4K or 8K, and the importance of meeting system specifications.
He emphasizes the need for a dedicated graphics processing unit (GPU) to handle the workload and ensure better performance.
Josh advises checking system specifications against recording software to confirm compatibility.
He suggests ensuring the primary monitor supports the desired resolution to avoid issues during recording.
Optimizing Graphics Acceleration Settings 3:13
Josh provides detailed steps to optimize graphics acceleration settings for high-performance recording.
He recommends configuring the graphics card for high performance and setting the operating system to high performance mode.
Josh advises checking the recording software settings for optimal performance.
He suggests running test recordings to ensure audio and video sync and to avoid post-recording editing issues.
Final Export and Rendering Tips 4:35
Josh advises using Camtasia's optimal settings to produce an MP4 file with a quality setting of around 75% for manageable file sizes.
He recommends capturing multiple screen recordings that can be compiled into a single video.
Josh suggests following through with the entire rendering process when exporting the final video.
He concludes the session by encouraging practice and looking forward to seeing the participants' creations.
Keywords: Screen,recording,audio,capture,on-camera,presentation,production,challenges,lighting,consistency,studio,lights,color,temperature,LED,panels,backlights,kicker,light,digital,double,4K,webcam,system,performance,green,screen,Camtasia
In this video, Josh Lomelino demonstrates Method Three for creating engaging screen recordings that combine on-camera presence, screen capture, and audio. Viewers will learn how to set up professional lighting using LED panels, choose the right camera equipment, and optimize their recording environment for high-quality video production. The tutorial covers essential techniques for maintaining visual continuity, managing lighting color temperatures, and using tools like Camtasia and green screens to create polished, professional-looking video content. By following Josh's guidance, content creators will be able to produce dynamic, natural-looking screen recordings with improved technical quality and visual appeal.
In this video, Josh Lomelino demonstrates Method Three for creating engaging screen recordings that combine on-camera presence, screen capture, and audio. Viewers will learn how to set up professional lighting using LED panels, choose the right camera equipment, and optimize their recording environment for high-quality video production. The tutorial covers essential techniques for maintaining visual continuity, managing lighting color temperatures, and using tools like Camtasia and green screens to create polished, professional-looking video content. By following Josh's guidance, content creators will be able to produce dynamic, natural-looking screen recordings with improved technical quality and visual appeal.
Here are the key things you will be able to do after you watch this demo:
Manage on-camera and screen recording simultaneously
Maintain visual continuity during video recordings
Set up professional lighting using LED panels
Adjust color temperature and brightness for optimal video quality
Create a three-point lighting setup with key, fill, and kicker lights
Select and configure appropriate camera equipment for video production
Optimize system performance for screen and camera recording
Use a Wacom tablet for digital whiteboarding
Implement green screen techniques for background removal
Combine multiple video takes into a seamless recording
Export and render high-quality video files
Create digital double avatars for reusable content
Troubleshoot common video production challenges
Select and position lighting equipment safely
Integrate on-camera performance with slides and screen recordings
Method Three Demo and challenges 0:08
Josh Lomelino introduces method three, which involves screen recording, audio, and on-camera capture, emphasizing its ability to capture natural, unscripted moments.
He highlights the challenges of managing both screen and camera presence simultaneously, including the need to maintain a consistent camera angle and expression.
Josh explains the importance of resuming recording with a neutral expression to ensure visual continuity.
He mentions the difficulty of pausing and resuming recording without noticeable edits when on camera.
Lighting Considerations for On-Camera Work 1:46
Josh discusses the significance of lighting in on-camera work, including the need to keep lighting consistent between takes.
He recommends using affordable studio lights, such as LED lights, which stay cool and are suitable for longer sessions.
Josh explains the concept of color temperature, noting that outdoor light can affect indoor lighting and cause color shifts.
He suggests using LED lights that allow adjustments in brightness and color temperature to manage lighting effectively.
Setting Up Lighting Equipment 3:02
Josh shares his preference for the Spectro Essential 360 LED panels, which range from 3250 to 6000 Kelvins and are dimmable.
He describes his typical setup, which includes stacking four LED panels in front and sometimes behind him to create soft, even light.
Josh emphasizes the importance of using back lights to create a "kicker light" effect, which helps outline the subject and makes them stand out from the background.
He advises adding weight to light stands to prevent them from tipping if bumped.
Camera and Recording Equipment 6:07
Josh talks about using a full-frame camera like the Canon 5D Mark III for high-quality recordings, but notes that a good 4K webcam can also deliver excellent results.
He recommends Logitech webcams, such as the Logitech 1080P cam, for their affordability and performance.
Josh explains the benefits of recording screen and camera separately, especially if the system can't handle 4K video and screen capture simultaneously.
He mentions the use of digital double avatars for reusing lighting and performance footage.
Optimizing System Performance and Audio Settings 8:15
Josh advises optimizing the graphics card and operating system for better system performance.
He recommends setting the microphone to 48,000 hertz and ensuring phantom power is turned on through the sound interface.
Josh suggests using a Wacom tablet for live whiteboarding, either with the Cintiq for direct drawing or a more affordable tablet for drawing on a pad.
He emphasizes the importance of setting pen lines thick enough to show clearly in high-resolution recordings.
Using Camtasia and Green Screens 9:20
Josh highlights Camtasia's ability to combine multiple takes into one smooth recording and overlay on-camera performance videos on PowerPoint slides.
He explains the use of green screens for added flexibility, including the need to light the green screen evenly and separately from the face lighting.
Josh mentions the built-in removal tool in Camtasia for easily removing the green screen background.
He advises fine-tuning the green screen setup to avoid issues with hair and shoulder edges.
Exporting and Backing Up Videos 10:17
Josh recommends exporting videos as MP4 files using the H.264 format with a rendering quality around 75%.
He advises keeping files organized and backed up for potential updates.
Josh mentions the use of green screens for recording digital double avatar videos, which can be easily removed from the background later.
He concludes the demo by encouraging viewers to invest in high-quality audio and video assets for better results.
Keywords: automation,content,creation,production,studio,digital,doubles,video,avatar,text,script,cloud-based,tools,slide,decks,PowerPoint,Canva,training,programs,staff,development,retention,coding,Academy,method,four
Method Four of the Ultimate Content Creation Workflow enables creators to automate their entire video production process by leveraging cloud-based tools and digital technology. By mastering this method, content creators can clone their voice, generate video avatars, and produce high-quality training videos and presentations with minimal time and effort. The workflow allows you to transform a simple text script into a fully automated video production, complete with synchronized audio, visuals, and slide decks. Ultimately, this approach empowers busy professionals to scale their content creation without being constrained by traditional time-consuming production methods.
Method Four of the Ultimate Content Creation Workflow enables creators to automate their entire video production process by leveraging cloud-based tools and digital technology. By mastering this method, content creators can clone their voice, generate video avatars, and produce high-quality training videos and presentations with minimal time and effort. The workflow allows you to transform a simple text script into a fully automated video production, complete with synchronized audio, visuals, and slide decks. Ultimately, this approach empowers busy professionals to scale their content creation without being constrained by traditional time-consuming production methods.
Here are the key things you will be able to do after you watch this demo:
Clone your voice for digital content creation
Generate automated video avatars
Transform text scripts into complete video presentations
Automate slide deck production in PowerPoint and Canva
Scale content creation with minimal time investment
Develop training materials efficiently
Leverage cloud-based production tools
Create digital doubles of yourself
Streamline video production workflows
Produce high-quality educational content without extensive technical skills
Ultimate Content Creation Workflow Overview 0:08
Josh Lomelino introduces method four, which automates the entire content creation process.
This method combines the first three methods but focuses on automation, making it more efficient.
Josh emphasizes the importance of mastering the first three methods before attempting method four.
The method allows for the creation of high-quality content with minimal time, effort, and budget.
Method Four's Impact on Production 1:09
Josh describes the transformative power of method four, which revolutionized his production process.
A potential customer expressed interest in using the method for staff development and retention.
Josh explains how he creates digital doubles of himself to automate the production process.
The method enables large-scale production without the time constraints typically associated with video creation.
Addressing Time Constraints in Content Creation 1:49
Josh shares experiences of customers who face time constraints in creating training programs and classes.
He highlights the challenges of maintaining a busy schedule while keeping up with production demands.
Method four allows for the cloning of voices and creation of audio tracks to generate video avatars.
The method significantly reduces the time required to produce multiple videos.
Automation Capabilities of Method Four 2:29
Josh explains that everything in the final video is fully automated, starting from a text script.
The process involves copying and pasting the script into cloud-based production tools.
High-end computers are not necessary as most of the heavy lifting is done in the cloud.
The method also automates the creation of slide decks in tools like PowerPoint or Canva.
Step-by-Step Process Walkthrough 2:48
Josh mentions that he will walk through each part of the process in the following sections.
The detailed steps will provide a comprehensive understanding of method four.
The process aims to make content creation more efficient and less time-consuming.
Josh emphasizes the importance of understanding each step to effectively implement the method.
Keywords: 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: Automated, performance, audio, file, high-quality, microphone, digital, avatar, recording, Camtasia
Automate Performances from Audio
Learn how to create a professional automated performance using digital avatars by recording high-quality audio and seamlessly integrating it with a virtual presenter. This technique allows you to transform audio recordings into engaging video content, whether from live presentations, scripts, or screen recordings. You'll discover how to export audio files, align a digital avatar's movements, and use chroma key technology to place your virtual presenter on any background. By mastering this workflow, you can produce polished, context-rich video dem
Following are the key things you will be able to do after you watch this demo:
Record high-quality audio using professional recording software
Export audio files in multiple formats (WAV and MP3)
Upload audio recordings to a digital avatar platform
Align digital avatar movements precisely with audio tracks
Render video performances from audio recordings
Remove background using chroma key techniques
Integrate digital avatars into various visual backdrops
Repurpose existing audio from presentations or demos
Create automated video content without on-camera performance
Optimize audio files for different digital platforms
Creating an Automated Performance Using Audio 0:08
Josh Lomelino explains two options for creating an automated performance: using a text-to-speech generated audio file or recording the performance using a high-quality microphone.
He emphasizes that recording with a high-quality microphone yields the best results and will demonstrate this method in the demo.
Josh mentions that the next demo will cover creating a fully automated performance using text, automating the entire process from audio capture to video production.
He notes that while the automated process is efficient, it may not match the quality of a live performance.
Preparing and Exporting Audio Recordings 1:09
Josh discusses the importance of using a high-quality audio file for the best results and mentions uploading the audio recording to a digital avatar.
He explains the need to export an uncompressed WAV file and an MP3 file optimized for web use, highlighting the importance of having both options ready.
Josh typically records his audio directly into Camtasia, which he finds to be the fastest way to capture high-quality audio for quick editing.
He demonstrates how to export a local file and choose between saving it as a WAV or MP3 file, noting that other audio editing tools can also be used.
Generating Video Performance with Digital Avatar 2:29
Josh explains the process of generating a video performance by dragging and dropping the audio file into the project and adjusting the start and end times of the digital avatar.
He mentions exporting the production to render the performance into an MP4 file and downloading it into the project.
Josh highlights the use of the chroma key or ultra key function to remove the background and seamlessly integrate the digital avatar into any backdrop.
He provides examples of using this technique for reading from a script, repurposing audio from live presentations, and creating matching visuals with on-camera performances.
Combining Performance Modalities and Future Demos 3:54
Josh discusses the challenges of managing all three performance modalities (screen recording, audio, and digital avatar) simultaneously and the importance of practicing beforehand.
He explains how to export the audio from a demo, generate a digital avatar, and overlay it onto the video, showing the versatility of combining these elements.
Josh mentions upcoming demos that will cover generating audio using generative AI from text alone, creating a fully automated workflow.
He will also demonstrate automating the creation of slides and the precise timing of each slide's animation, allowing for a completely hands-free production system.
Keywords: Automated, performance, text, video, Otter, AI, voice, clone, Eleven Labs, HeyGen, audio, multilingual
In this video, Josh demonstrates how to create fully automated video performances directly from text using tools like Otter AI, 11 Labs, and HeyGen. Viewers will learn how to generate high-quality voice clones, prototype video scripts, and produce professional-looking content with minimal effort by leveraging AI-powered voice and video generation technologies. The workflow allows content creators to transform written or spoken text into polished video presentations quickly and efficiently. By following Josh's method, users can generate multiple video iterations, edit audio precisely, and create digital avatars that replicate their voice and performance with remarkable accuracy.
In this video, Josh demonstrates how to create fully automated video performances directly from text using tools like Otter AI, 11 Labs, and HeyGen. Viewers will learn how to generate high-quality voice clones, prototype video scripts, and produce professional-looking content with minimal effort by leveraging AI-powered voice and video generation technologies. The workflow allows content creators to transform written or spoken text into polished video presentations quickly and efficiently. By following Josh's method, users can generate multiple video iterations, edit audio precisely, and create digital avatars that replicate their voice and performance with remarkable accuracy.
Following are the key things you will be able to do after you watch this demo:
Generate video scripts from transcribed audio using AI tools
Create high-quality voice clones with consistent audio recordings
Prototype video content using free and paid AI platforms
Optimize voice training for digital avatars
Manage content production across multiple AI environments
Edit audio tracks with minimal credit consumption
Develop a systematic workflow for automated video creation
Replicate personal performance using digital voice technology
Transform text-based content into professional video presentations
Implement cost-effective strategies for video and audio generation
Creating a Fully Automated Performance from Text 0:08
Josh Lomelino explains the process of creating a fully automated performance directly from text, including generating audio prompts using Otter AI.
He describes how he brainstorms ideas while walking and exports the subtitle transcript file, SRT, to process it with AI tools like Claude or ChatGPT.
Josh mentions breaking up long scripts into manageable blocks of 1800 characters and generating a year's worth of content for various platforms.
He emphasizes the use of text, whether written manually or spoken and transcribed, to craft a video script using two primary methods.
Generating High-Quality Voice Clones 1:51
Josh discusses creating a high-quality voice clone using 11 Labs, initially finding the results artificial but later perfecting the settings.
He highlights the importance of using a consistent audio clip for training the voice digital double, ideally around three hours of spoken audio.
Josh explains the challenges of recording consistently for three hours and how he stitches together previous demo recordings to create a large audio clip.
He stresses the need for meticulous tracking of audio settings to ensure uniformity and avoid sudden changes in volume or tonal quality.
Optimizing Audio Recording for Consistency 3:36
Josh shares his experience of recording multiple live sessions with an audience, which infused the audio with personality and energy.
He explains the importance of having consistently dialed-in audio for generating a high-quality performance, as the AI listens to everything in the audio track.
Josh mentions the time and cost involved in using 11 Labs, which can take up to six to eight hours to analyze a voice and build a model.
He advises against using cheaper models, such as the multilingual version one model or turbo 2.5, and recommends upgrading to the multilingual version two model for better results.
Using Hey Gen for Cost-Effective Prototyping 5:35
Josh introduces Hey Gen as an alternative for creating generative content when 11 Labs burns through credits too quickly.
He explains how he trains Hey Gen on his voice by uploading a 10 to 15-minute audio clip and generates unlimited videos for free, depending on the subscription plan.
Josh describes the process of creating prototypes, making real-time adjustments to the script, and rendering multiple takes.
He mentions using his phone in split screen mode while walking to make adjustments on the fly and then copying and pasting the revised script into Hey Gen.
Switching Between Hey Gen and 11 Labs 7:44
Josh explains how he can switch the voice in Hey Gen to the high-quality production voice in 11 Labs with a click of a button.
He highlights the downside of using Hey Gen, which is the risk of losing all credits if there are issues with the audio track in the final video.
Josh prefers using the Studio tool in 11 Labs for targeted editing, which allows regenerating just portions of the audio without redoing the entire clip.
He mentions the benefit of being able to download the WAV file and MP3 file from the Studio tool in 11 Labs as a fail-safe.
Organizing Video Production Phases 9:21
Josh describes his workflow of treating production as two phases: the cheap, free voice phase and the final phase.
He explains the process of pasting the text directly into the Hey Gen editor, listening to the prototype, and resolving issues before creating a new file in Hey Gen.
Josh organizes his videos into two folders: a prototype folder and a final folder, for easy organization of his methods.
He mentions using the multilingual version two model for cost-effective throwaway tests and training his voice with Hey Gen for free prototyping.
Leveraging Digital Doubles for High-Quality Videos 10:34
Josh shares how he uses his digital doubles to replicate a performance of his voice and generate a corresponding video composite.
He explains how he creates a script using Otter AI during a walk, copies and pastes it into his automated workflow, and produces a high-end video with minimal effort.
Josh highlights the benefits of this workflow, which allows him to deliver excellence without skipping a beat, even when small inconsistencies would have derailed the process before.
He concludes by mentioning the next steps in the following videos, which will cover adding automated visual elements on screen behind the virtual avatar.
Keywords: AI, Claude, Chat GPT, brainstorming, video, script, otter, SRT, transcription, generative audio, bulk export, workflow
Generate Ideas with Otter and Claude
Josh demonstrates how to use AI tools like Otter AI, ChatGPT, and Hey Gen to quickly transform brainstorming transcripts into polished video scripts. By leveraging AI's capabilities, creators can capture their ideas, generate scripts, and create content with minimal manual editing. The workflow allows users to convert spoken thoughts into text, refine the script through AI assistance, and produce a final video with a digital avatar or voice clone. Viewers will learn a streamlined process for content creation that dramatically reduces production time and enables rapid, creative video generation.
Following are the key things you will be able to do after you watch this demo:
Capture brainstorming ideas using Otter AI transcription
Export SRT files from recorded thoughts
Convert raw transcripts into structured video scripts
Leverage AI tools to refine and edit content automatically
Break down long scripts into manageable character blocks
Identify and correct potential AI pronunciation challenges
Generate video scripts with minimal manual editing
Prepare scripts for digital avatar or voice clone production
Batch process multiple transcripts simultaneously
Create content at scale using AI-assisted workflows
Using AI Tools for Content Creation 0:09
Josh Lomelino explains how AI tools help him capture ideas and generate content directly from brainstorming sessions.
He uses Otter AI to record his thoughts verbatim, which he then exports as an SRT file for transcription.
The SRT file contains every word spoken along with time codes, making it easy to generate a full video script.
Josh leverages AI tools like 11 Labs and Hey Gen to produce audio and video content from the transcribed text.
Generating Video Scripts from Transcripts 2:00
Josh describes the process of generating a video script from the transcribed text using AI tools.
He explains the difference between having a clear plan and a vague notion for the script.
The AI can capture random ideas and generate multiple scripts within the Otter AI application.
Josh then uses tools like Claude AI or ChatGPT to expand and refine the generated scripts.
Collaborative Writing with AI 2:35
Josh aims to create a video script that his digital double can read aloud, reducing the need for extensive editing.
He explains the collaborative writing process between himself and AI tools to generate drafts and revisions.
The ultimate goal is to use AI to create a polished video script without spending hours on manual editing.
Josh emphasizes the importance of spending time to perfect the AI prompting process.
Workflow for Converting SRT Files 3:51
Josh demonstrates the workflow for converting an SRT file into a video script using Otter AI and Notepad.
He highlights the importance of checking the prompts document for time-saving methods.
Josh explains two methods for creating video scripts: word-for-word transcription and general direction.
He provides detailed prompts for ChatGPT to convert SRT files into 1800-character blocks.
Handling Rough Brainstorming Transcripts 7:40
Josh discusses handling rough brainstorming transcripts that require more assistance from AI tools.
He explains the need to be mindful of checking each word when using AI to generalize the transcript.
Josh provides a prompt for ChatGPT to convert the SRT file into a video script and fix grammatical issues.
He emphasizes the importance of ensuring the script is readable by the AI digital double.
challenges with AI-Generated Scripts 10:06
Josh mentions potential challenges with AI-generated scripts, such as mispronunciation by the digital double.
He explains the time-consuming process of manually correcting AI-generated scripts.
Josh introduces a prompt for a cleanup pass to automatically correct readability issues.
He advises copying and pasting the corrected script into the video script document for backup.
Finalizing the Video Script 12:23
Josh explains the final steps of rendering the script as a prototype using a free voice clone.
He advises listening to the playback and adjusting the script for pronunciation issues.
Once satisfied with the prototype, the final audio can be generated using tools like 11 Labs.
The final audio clip can then be uploaded to a virtual avatar software for the final on-screen performance.
Batch Processing Multiple SRT Files 13:21
Josh highlights the option to bulk export multiple SRT files from the Otter AI app for time savings.
He explains how this process can be applied to a whole folder of SRT files.
This method allows for the creation of massive amounts of content quickly and easily.
Josh concludes the demo by encouraging viewers to try the process for themselves.
Keywords: AI, transcription, video, Bloom's Taxonomy, metadata, learner outcomes, content, table, contents, time, codes, interactive chapters, prompts
Learn how to transform lengthy video content into easily digestible, learner-friendly resources using AI technology. This tutorial demonstrates how to automatically generate comprehensive text information including descriptions, educational outcomes, and detailed summaries directly from video transcripts. By utilizing tools like Otter AI and Anomaly Amp, you'll discover a streamlined method to create navigation cues, time-coded summaries, and interactive chapters that enhance viewer understanding and engagement. The process requires minimal manual effort while providing maximum value for learners seeking to quickly grasp the key points of extended video content.
Learn how to transform lengthy video content into easily digestible, learner-friendly resources using AI technology. This tutorial demonstrates how to automatically generate comprehensive text information including descriptions, educational outcomes, and detailed summaries directly from video transcripts. By utilizing tools like Otter AI and Anomaly Amp, you'll discover a streamlined method to create navigation cues, time-coded summaries, and interactive chapters that enhance viewer understanding and engagement. The process requires minimal manual effort while providing maximum value for learners seeking to quickly grasp the key points of extended video content.
Following are the key things you will be able to do after you watch this demo:
Analyze the process of using AI tools to generate comprehensive video metadata
Generate automated transcripts and summaries using Otter AI
Create detailed video descriptions and educational outcomes with minimal manual effort
Extract key thematic points and time-coded sections from video content
Implement interactive chapters and navigation cues in video presentations
Transform lengthy video demonstrations into learner-friendly, easily navigable resources
Generating Text Information for Video Content 0:09
Josh Lomelino introduces the purpose of the video: to show how to generate text information to support video content.
He explains the challenges of long videos and the time-consuming process of creating a manual table of contents.
Josh suggests using AI to automatically generate contextual and navigation cues for viewers.
He outlines the four main cues for learners: description, outcomes, table of contents, and interactive chapters.
Using Otter AI App for Transcription 1:40
Josh explains the process of using the Otter AI app to generate a transcript of a finished video.
He details the steps of dragging and dropping the video file into the Otter user interface for transcription.
Once the transcription is complete, Josh shows how to access the Summary tab to extract the table of contents.
He emphasizes the importance of the Summary tab in providing thematic breakdowns and time ranges.
Creating Descriptions and Educational Outcomes 3:44
Josh demonstrates how to generate a three to four sentence description using AI prompts in Otter.
He explains the process of copying and pasting the description into the Anomaly Amp system.
Josh highlights the importance of providing a list of educational outcomes for learners.
He shows how to use AI prompts to generate a list of outcomes based on the training script.
Formatting and Organizing Content 4:53
Josh provides tips on formatting the content in the Anomaly Amp system.
He suggests making the time codes appear as text summaries and setting them as heading two (h2) in bold.
Josh explains how to create a clear message under the outcomes heading to guide learners.
He recommends using either a numbered or bulleted list for the outcomes.
Finalizing the Detailed Summary 5:28
Josh completes the detailed summary by including time codes for each item in the video.
He reiterates that the process requires minimal manual work and produces valuable content for learners.
Josh mentions the importance of reviewing training on Bloom's Taxonomy for proper verb usage in AI tools.
He offers supplemental files to help train AI tools to use the correct verbs for the level of learning.
Introduction to Interactive Table of Contents 6:18
Josh announces the next video, which will cover the fourth component: the interactive table of contents.
He explains that this component converts the table of contents into interactive chapters in the video.
Josh highlights the benefits of this feature for users on various devices.
He promises to show the process of creating interactive metadata in the next video.
Keywords: Automation, AI-generated, content, slides, video background, SRT, transcript
Automate Slide Data Creation
In this demo, Josh Lomelino reveals a powerful workflow for automating on-screen elements and slide creation using AI tools. Viewers will learn how to transform a transcript into a fully automated slide deck by leveraging AI platforms like Claude and ChatGPT to generate inspirational content with precise timing. The technique allows content creators to automatically generate slide content, export it to a CSV file, and prepare for seamless PowerPoint or Canvas slide production. By following this method, users can save significant time in presentation creation and eliminate manual slide transitions.
Following are the key things you will be able to do after you watch this demo:
Generate automated slide content using AI transcription tools
Extract precise time codes from transcripts for slide transitions
Transform raw transcripts into structured slide presentations
Use AI prompts to create inspirational and motivational slide copy
Convert slide data into JSON and CSV formats
Automate slide creation across multiple platforms (PowerPoint, Canvas)
Optimize slide timing and pacing for engaging presentations
Leverage AI tools to reduce manual presentation development time
Export transcription data for seamless content repurposing
Create consistent and professional slide decks without manual intervention
Automating On-Screen Elements with AI 0:09
Josh Lomelino introduces the demo, focusing on automating on-screen elements for lectures or demos.
He explains the use of AI-generated voice, digital double avatar, and automated slide content.
Josh emphasizes the importance of the vocal track in automating the entire performance.
He mentions using either an SRT file or transcription tools like Otter AI or Loom for accurate time codes.
Using Loom for Precise Time Codes 1:24
Josh advises using Loom for more accurate time codes compared to Otter AI.
He explains the challenges of automating slide transitions and the importance of precise time codes.
Josh demonstrates how to export the SRT file and use it for automating slide transitions.
He highlights the need for accurate time codes to avoid manual recording and timing issues.
Generating Slide Content with AI 4:38
Josh shows how to use Claude AI to generate slide content based on the SRT file.
He explains the process of copying the SRT file into memory and using AI prompts to generate slide content.
Josh suggests making the slide content inspirational and motivational.
He emphasizes the importance of comparing and mixing AI-generated content to get the desired outcome.
Adjusting Slide Transition Timing 6:10
Josh discusses the importance of slide transition timing and how it affects the video's pacing.
He suggests using a fixed number of slides and adjusting the transition timing based on the video's feel.
Josh explains how to increase or decrease the number of slides while maintaining the conversational tone.
He highlights the need for accurate time codes to ensure smooth slide transitions.
Handling Time Code Issues 8:13
Josh addresses potential issues with time codes and suggests using Loom for more accurate data.
He explains how to adjust the number of slides based on the video's length and transition timing.
Josh provides prompts for asking AI tools to generate the correct number of slides and time codes.
He emphasizes the importance of accurate time codes for automating slide transitions.
Exporting Slide Data to Excel 12:53
Josh shows how to export the slide data to an Excel file from AI-generated JSON data.
He explains the process of copying and pasting JSON data into an Excel file.
Josh suggests using a fail-safe strategy if the direct export method doesn't work.
He highlights the importance of having a clean data source for generating slides automatically.
Transforming JSON Data to CSV 13:59
Josh demonstrates how to transform JSON data into a CSV file using ChatGPT.
He explains the process of copying JSON data into ChatGPT and generating a CSV file.
Josh provides prompts for handling issues with special characters and ensuring clean data.
He emphasizes the importance of having a CSV file for automating PowerPoint or Canvas slides.
Final Steps for Automating Slides 18:03
Josh explains how to use the CSV file to generate PowerPoint or Canvas slides automatically.
He highlights the power of having all the necessary data for automating the presentation.
Josh mentions that the next demo will cover generating PowerPoint and Canvas slides in detail.
He concludes the demo by summarizing the key steps and the benefits of automating the presentation process.
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.
Discover how to unlock your product’s potential with this hands-on demo! Learn to identify your audience’s biggest challenges, craft compelling scripts using leading marketing frameworks, and leverage AI-powered tools to create engaging vision videos. Walk away ready to prototype voiceovers, iterate on creative ideas, and connect with your audience through actionable storytelling that drives real results.
Discover how to unlock your product’s potential with this hands-on demo! Learn to identify your audience’s biggest challenges, craft compelling scripts using leading marketing frameworks, and leverage AI-powered tools to create engaging vision videos. Walk away ready to prototype voiceovers, iterate on creative ideas, and connect with your audience through actionable storytelling that drives real results.
This video guides viewers through recognizing and addressing key challenges like lack of clarity, inconsistency, and information overload. By following the step-by-step vision presented, viewers will learn how the app helps them transform these obstacles into opportunities for personal growth and productivity. After watching, audiences will be equipped to download the app, leverage its key features to build better habits, and take actionable steps toward positive change. The video empowers viewers to begin their own transformation journey right away.
Following are the key things you will be able to do after you watch this demo:
Creating a Vision Video Using Marketing Frameworks 0:10
Josh Lomelino explains the initial steps for creating a vision video, emphasizing the importance of the Ray Edwards framework.
The process involves identifying and amplifying pain points, telling a story, and transforming the narrative to lead to a call to action.
Josh introduces the Jeff Walker framework, which follows a similar pain-agitate-solve structure.
He discusses the use of ChatGPT to unearth pain points and personas, integrating this information into the script writing process.
Script Writing and User Problems 5:13
Josh details the process of writing a script using the Ray Edwards framework, focusing on the top three common problems.
He lists the top three problems: lack of clarity, inconsistency, and lack of accountability.
The script aims to show a transformation from pain to breakthrough, with a vision video lasting two to three minutes.
Josh emphasizes the importance of defining marketing before finishing the product to connect with the audience effectively.
Iterating the Script and Using Generative AI 10:44
Josh explains the process of creating multiple versions of the script, using ChatGPT and Claude AI for brainstorming and refining.
He highlights the importance of providing detailed instructions to the AI tools to ensure they stay within the desired framework.
Josh discusses the use of teleprompter scripts to ensure the spoken words are accurate and readable.
He mentions the use of 11 Labs for generating voiceovers, which helps in prototyping and refining the script.
Finalizing the Script and Preparing for Video Production 27:00
Josh talks about the importance of testing different versions of the script with focus groups to get valuable market feedback.
He explains the process of creating a Google Doc to keep track of different versions of the script and related content.
Josh introduces the Jeff Walker framework, which is used for product launches, and compares it with the Ray Edwards framework.
He discusses the final steps of creating the vision video, including generating animatics, storyboards, and visual content.
Generating Audio and Selecting Voices 36:23
Josh demonstrates the use of 11 Labs to generate audio performances from the script, using his own voice as a clone.
He explains the process of selecting and applying different voices from the 11 Labs library to experiment with different tones and styles.
Josh highlights the importance of exporting the audio in WAV format for higher quality and flexibility in editing.
He discusses the potential use of multiple voices to create a cast of characters in the vision video.
Editing and Refining the Vision Video 58:53
Josh outlines the next steps for editing the audio and video content, including creating animatics and storyboards.
He emphasizes the importance of aligning the visuals with the audio track to ensure the narrative flows smoothly.
Josh discusses the use of AI-generated video content for B-roll footage to show the app in use.
He concludes by summarizing the overall process of creating a vision video, from script writing to final production, and the role of various tools and frameworks in achieving this.
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.
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