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Student Examples Project #1
The Moody Ninja
Final Source Code in P5 JS Editor
Moody Ninja Final Presentation (Quick time file link - embedded stream above in the page)
Student Example 2 - Project 1
Video Presentation MP4 file (also embedded above).
Master Script Framework
After completing this video, viewers will be able to develop a master script framework for producing a full year of unique, inspirational Instagram reels. They will learn how to batch-create scripts, add descriptions and hashtags, and spot-check content for quality and consistency. The video guides users through automating the content creation process, organizing everything in one place, and preparing for efficient scheduling and posting. By following these steps, viewers can streamline their social media production and ensure their messaging remains engaging and on-brand.
Here are the key things you will be able to do after you watch this demo:
Develop a master script framework for content creation
Generate and batch unique weekly scripts
Spot-check and refine content for quality and consistency
Automate the production and organization of social media assets
Schedule and prepare posts for efficient publishing
Integrate descriptions and hashtags for each script
Critique and adjust content to maintain brand messaging
Developing the Master Script Framework 0:09
Josh Lomelino explains the importance of developing a master script framework to allow AI to rapidly produce content.
The sequence is a 52-week sequence with the final outcome being Instagram reels, which will also be used for ads.
The feedback loop will be used to create Canvas Slides for simple posts on Facebook and Instagram.
Josh will be working on a startup product that is in its beginning stages, creating content from scratch.
Initial Tests and Experimentation 1:47
Josh shows a demo of initial tests to figure out how to proceed with social media content.
The first test involves a digital spokesperson promoting a game, with different voices and accents.
Josh emphasizes the need for 52 weeks of content and trains ChatGPT on the product.
The process involves starting with a brand new chat and training ChatGPT on the game description.
Training ChatGPT and Generating Scripts 5:26
Josh begins training ChatGPT by asking for a 15-second script for an Instagram reel.
The goal is to generate a sequence of 52 video scripts for Instagram reels.
Josh requests ChatGPT to provide a list of titles thematically broken down for each week.
The focus is on creating thought-provoking content that generates interest and shareability.
Refining the Scripts and Thematic Breakdown 9:09
Josh continues to refine the scripts, ensuring they are thematically broken down.
The process involves saving snapshots of the training process to keep the framework on track.
Josh emphasizes the importance of critiquing and providing feedback to steer the model in the right direction.
The goal is to create a strong starting point for the rest of the social media calendar.
Finalizing the Scripts and Automating Production 16:18
Josh finalizes the first script as a test and generates the video in 4K.
The process involves duplicating the project, pasting the script, and using different voices.
Josh demonstrates how to generate all 52 weeks of scripts, ensuring each week is unique and inspirational.
The final step involves copying and pasting the scripts into a Google Doc for easy management and scheduling.
Managing the Social Media Calendar 24:44
Josh explains the importance of having Instagram descriptions and hashtags for each script.
The process involves saving the framework and ensuring all future scripts follow the combined format.
Josh spot checks the scripts to ensure they stay on track and provide feedback as needed.
The goal is to have everything ready for scheduling and posting on social media platforms.
Setting Up the Video Production Pipeline 32:43
Josh outlines the next steps for setting up the video production pipeline.
This includes selecting voices, actors, and actresses for the brand.
The process involves using Showbiz to produce each of the 52 videos.
Josh emphasizes the importance of having a fast and easy pipeline for production.
Finalizing the Year's Worth of Content 41:53
Josh continues to batch produce the remaining scripts, ensuring they are unique and inspirational.
The process involves spot checking the scripts and providing feedback to keep the model on track.
Josh demonstrates how to manage the entire year's worth of content in one spot.
The final step involves generating the entire year's content and ensuring it is ready for scheduling and posting.
Keywords: Content,creation,workflow,time-saving,high-quality,student,outcomes,audio,file,screen,recording,Camtasia,OBS,generative,AI,digital,double,course,matrix,instructional,design,Otter,PowerPoint,Slides
Josh Lomelino's ultimate content creation workflow is designed to dramatically reduce course development time from months to weeks or days by leveraging various content generation methods. His approach ranges from simple audio-only techniques to fully automated workflows using generative AI, with a focus on delivering clear, measurable learning outcomes. The workflow encompasses four progressive methods, starting with basic audio creation and advancing to complex AI-driven content generation that can produce digital avatars, Slides, and video content from simple text prompts. By providing a flexible, scalable approach, Lomelino enables content creators to efficiently develop high-quality online courses and educational materials.
Josh Lomelino's ultimate content creation workflow is designed to dramatically reduce course development time from months to weeks or days by leveraging various content generation methods. His approach ranges from simple audio-only techniques to fully automated workflows using generative AI, with a focus on delivering clear, measurable learning outcomes. The workflow encompasses four progressive methods, starting with basic audio creation and advancing to complex AI-driven content generation that can produce digital avatars, Slides, and video content from simple text prompts. By providing a flexible, scalable approach, Lomelino enables content creators to efficiently develop high-quality online courses and educational materials.
After this demo, learners will be able to:
Understand the Four Methods of Content Creation
Differentiate between audio-only, screen recording, webcam, and fully automated content generation techniques
Recognize the strengths and limitations of each workflow method
Develop Efficient Content Generation Skills
Apply AI tools like Otter AI, Claude AI, and ChatGPT for script drafting and refinement
Create high-quality educational content using streamlined workflows
Leverage AI Technologies for Course Development
Utilize generative AI platforms for audio, video, and slide creation
Transform content development timelines from months to weeks
Design Learner-Centered Educational Content
Craft clear, measurable learning outcomes
Develop instructional materials that focus on practical skills and immediate application
Implement Scalable Content Production Strategies
Overview of Content Creation Workflow 0:09
Josh Lomelino introduces the ultimate content creation workflow class, aiming to reduce course development time from months to weeks or days.
The course will cover a blend of simple to fully automated workflows, starting with simpler methods for quick wins and progressing to advanced approaches.
Emphasis is placed on delivering clear, measurable outcomes and setting up necessary systems from the start.
The course will cover creating basic audio files, screen recording using tools like Camtasia or OBS, and fully automated workflows using generative AI.
Methods of Content Creation 1:30
Josh Lomelino outlines four methods of content creation, ranging from simple to fully automated, with each method providing a different level of complexity and automation.
Method one involves creating audio-only content using tools like Claude AI or ChatGPT to refine scripts and generate final audio files.
Method two involves real-time screen recording using software like Camtasia, capturing both screen content and voice simultaneously.
Method three combines screen recording with live webcam footage, allowing for a more dynamic on-screen presence.
Method four uses AI to generate a digital double video from a recorded vocal track, with AI also generating PowerPoint or Canvas Slides.
Detailed Explanation of Methods 2:49
Method one: Josh explains the process of refining raw text into final audio scripts using AI tools and recording the final audio file manually or with AI.
Method two: Josh describes using Camtasia to record both screen and voice simultaneously, minimizing post-production work and suitable for relaxed, adaptable work.
Method three: Josh details recording both screen and webcam footage in one take, requiring careful setup for a consistent on-camera presence.
Method four: Josh explains using AI to generate a digital double video from a recorded vocal track, with AI also generating Slides synchronized to the transcript.
Implementation and Integration 10:04
Josh emphasizes the importance of starting with method one and progressing sequentially to method four, explaining the workflows and specific tools used to optimize the process.
The course is designed to provide strategies that can be implemented immediately, with each method providing a different level of automation and complexity.
Josh will demonstrate how to generate scripts, auto-generate audio files, and record both audio and video manually, as well as how to automatically generate PowerPoint and Canvas Slides using AI.
The final video will show how to integrate these workflows into Anomaly AMP, providing learners with contextual information and a timeline breakdown.
Keywords: Overview, Demo, Audio, Recording, Process, Tracks, Methods, Production, Manual, AI, Generated, Voices, Automatically, Instructional, Aid, Synthesizing, Information, Guide, Instruct, Persuade, Sales, Potential, Catalyst, Automating, Content, Creation, Recorded, Serve, Presentation, Slides, PowerPoint, Canva, Animated, Effects, Virtual, Camera, Overlay, Automated, Execute, Fundamentals, Vocal, Performance, Techniques, Apply, Screen, Captures, Principles
This video provides a comprehensive overview of audio production techniques, teaching viewers how to create powerful audio tracks through manual recording and AI-generated voices. Participants will learn to leverage audio as a versatile tool for instructional content, sales support, and multimedia creation, including automated slide generation and virtual presentations. The demonstration will equip learners with fundamental vocal performance skills applicable to screen captures, on-camera presentations, and various content creation scenarios. By mastering these techniques, viewers can transform their approach to creating engaging, professional-quality audio and visual content.
This video provides a comprehensive overview of audio production techniques, teaching viewers how to create powerful audio tracks through manual recording and AI-generated voices. Participants will learn to leverage audio as a versatile tool for instructional content, sales support, and multimedia creation, including automated slide generation and virtual presentations. The demonstration will equip learners with fundamental vocal performance skills applicable to screen captures, on-camera presentations, and various content creation scenarios. By mastering these techniques, viewers can transform their approach to creating engaging, professional-quality audio and visual content.
Here are the key things you will be able to do after you watch this demo:
Record high-quality audio tracks manually
Generate AI-powered voice narrations from text scripts
Use audio as an instructional and persuasive communication tool
Automate presentation slide creation using audio tracks
Create virtual on-camera presentations with overlaid audio
Apply vocal performance techniques to screen captures
Synthesize information effectively through audio narration
Leverage audio for sales and instructional content development
Transform text scripts into multimedia presentations
Develop professional-grade content using both manual and AI-driven audio production methods
Overview of Audio Recording Process 0:08
Josh Lomelino introduces the demo, focusing on the process of recording audio tracks.
He mentions that the overview video will demonstrate two methods for audio production: manual recording and AI-generated voices.
The video aims to outline various uses of audio, emphasizing its role as an instructional aid and its potential in automating content creation.
Josh highlights that audio can synthesize information to guide, instruct, persuade, and support sales.
Applications of Audio in Content Creation 0:51
Josh explains that audio tracks can be used directly as instructional aids, providing guidance and support.
He elaborates on audio's role in automating multiple aspects of content creation, whether recorded manually or generated with AI.
An audio track can create presentation Slides in applications like PowerPoint or Canva, complete with animated effects.
The audio can also be used to generate virtual on-camera presentations that overlay on automated Slides.
Upcoming Demos and Techniques 1:40
Josh mentions that upcoming demos will show how to execute both methods of audio production: manual recording and AI-generated voice production.
He emphasizes the importance of mastering the fundamentals of delivering a strong vocal performance.
These techniques can be applied to various areas, including live screen captures and on-camera presentations.
Josh concludes the high-level overview, stating that he will see the audience in the next video.
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: Green screen, virtual avatar, training video, RGB, Ultra Key
In this tutorial, Josh demonstrates how to create a versatile virtual avatar using a green screen background. By following his step-by-step process, viewers will learn to record a training video, use video editing software to remove the background, and export a high-quality 4K file for avatar creation. The technique allows users to generate a digital double that can be placed on any background, enabling them to create numerous training videos, presentations, and lectures without being physically present. Ultimately, viewers will gain the skills to produce an AI avatar that can work continuously, freeing up their personal time while maintaining professional content production.
In this tutorial, Josh demonstrates how to create a versatile virtual avatar using a green screen background. By following his step-by-step process, viewers will learn to record a training video, use video editing software to remove the background, and export a high-quality 4K file for avatar creation. The technique allows users to generate a digital double that can be placed on any background, enabling them to create numerous training videos, presentations, and lectures without being physically present. Ultimately, viewers will gain the skills to produce an AI avatar that can work continuously, freeing up their personal time while maintaining professional content production.
Following are the key things you will be able to do after you watch this demo:
Shoot a training video using a green screen background
Apply the ultra key filter in video editing software
Create a 100% green color matte
Remove background elements from video footage
Export high-quality 4K video files
Generate a virtual avatar using AI software
Render digital doubles for multiple presentations
Layer virtual avatars over different backgrounds
Integrate avatar presentations with PowerPoint and Canva Slides
Produce training content without physical studio time
Creating a Virtual Avatar with a Green Screen Background 0:08
Josh Lomelino explains the importance of using a green screen background for creating virtual avatars, emphasizing versatility and ease of use.
He describes the general principle of achieving a 100% green background in the RGB model, noting the difficulty of achieving perfect green.
Josh introduces simple steps to help with the process, including shooting a two-minute training video on a green screen and using 100% green shapes in video editing software.
He demonstrates the use of the ultra key filter in video editing software to eliminate the background and adjust settings like feathering, key color, and matte cleanup.
Setting Up the Green Screen Workflow 5:18
Josh explains the creation of a 100% green color matte in video editing software, specifying the width and height to be 4k.
He describes layering the green clip underneath the video track and extending it to the same length as the training clip.
Josh mentions the importance of placing additional green color mats to fix any spillover areas and avoid relying solely on the ultra key effect.
He outlines the process of setting in and out points, exporting the clip as an MP4 file, and using Adobe Media Encoder for batch rendering.
Exporting and Adjusting Settings 8:12
Josh details the export settings, including using the h264 codec for high quality and specifying the file type as MP4.
He emphasizes the importance of evenly lighting the green screen for a better key and mentions common issues like wrinkles and folds.
Josh shows how to create a new avatar in Hey Gen or other virtual avatar software, validating the model by reading a code aloud.
He explains the process of uploading source material, validating the camera angle, and retaining 4k footage for higher resolution renders.
Using the Virtual Avatar in Various Productions 11:27
Josh discusses the flexibility of using the virtual avatar in presentations, lectures, and demos, including mixing with PowerPoint Slides and Canvas Slides.
He highlights the ability to create unlimited digital doubles and the importance of not checking the AI remove background option.
Josh explains the use of Camtasia's Remove Color effect to key out the green color in the background and the importance of using high-quality settings.
He advises against using proxy footage for making decisions about green screen settings and emphasizes the need for maximum quality settings in video editing software.
Final Steps and Infinite Possibilities 14:54
Josh concludes by mentioning the infinite possibilities of the workflow, including creating presentations directly inside Hey Gen.
He discusses integrating with Canva for timed slide changes and animations, and the option to check the background removal button for a transparent background.
Josh reiterates the importance of using the method shown in the video to achieve 4k production quality, even if it requires a more expensive plan.
He wraps up the demo, encouraging viewers to explore the various applications and approaches for their virtual avatars.
Keywords: 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: 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.
Automating Slides in Canva
will go here
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