Beginner’s Guide: How to visualize data with AI in ChatGPT, Gemini and Claude

FYI -- Today's LinkedIn livestream broke, so you can access the custom instructions here. 

This is Vibe Coding 001. 

Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start? 

Start here. 

We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work. 

Join us. 

Beginner’s Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Combining Multiple Features in Large Language Models
2. Visualizing Data in ChatGPT, Gemini, and Claude
3. Creating Custom GPTs, Gems, and Projects
4. Uploading Files for Automated Data Dashboards
5. Comparing ChatGPT Canvas, Gemini Canvas, and Claude Artifacts
6. Using Agentic Capabilities for Problem Solving
7. Visualizing Meeting Transcripts and Unstructured Data
8. One-Shot Mini App Creation with AI

Timestamps:
00:00 "Unlocking Superhuman LLM Capabilities"

04:12 Custom AI Model and Testing

07:18 "Multi-Mode Control for LLMs"

12:33 "Intro to Vibe Coding"

13:19 "Streamlined AI for Simplification"

19:59 Podcast Analytics Simplified

21:27 "ChatChibuty vs. Google Gemini"

26:55 "Handling Diverse Data Efficiently"

28:50 "AI for Actionable Task Automation"

33:12 "Personalized Dashboard for Meetings"

36:21 Personalized Automated Workflow Solution

40:00 "AI Data Visualization Guide"

40:38 "Everyday AI Wrap-Up"

Keywords:
ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Think

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