ChatGPT Loves Your AI Idea. That's the Problem.

Hosted by Rajiv Shah

Thu, Jul 23, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI Problem Framing for AI Practitioners
Rajiv Shah
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What you'll learn

Spot the three ways ChatGPT's project advice fails

Show you the limits of AI planning for sequencing, decision making, and framing

Turn a half-formed AI idea into a well-framed brief

A set of skills that turn your problem into a structured brief

Let me show you how easy it is to upgrade your AI thinking

Walk through the difference between ChatGPT and my free Framing Skills

Why this topic matters

We all started using ChatGPT for AI project ideas because the answers look expert. They're correct and broad. They're also shallow. A chat model answers, it never asks, and it has no real expertise in framing problems. I'll give you a free skill that structures the model's thinking, run it live on the same question, and you'll see the difference.

You'll learn from

Rajiv Shah

Agentic AI Engineer at OpenHands

Rajiv Shah is an Agentic AI Engineer, Professor, Speaker, and Edutainer. At OpenHands, he helps enterprises with the latest AI while educating practitioners about what actually works.

He's worked hands-on with 100+ AI use cases across enterprise, startup, and research - from recommendation systems to RAG pipelines. The failures taught him more than the successes. They almost always came down to framing, not algorithms.

His career spans 20+ patents, been cited over 1000 times, a PhD from UIUC, and an expert in practical AI.

Today he reaches 100K+ practitioners through talks, videos, and content at AI conferences - known by @rajistics.

Check out a recent interview on the ODSC podcast as well as a deep dive on Harness Engineering for Coding Agents.

See also Framing AI: https://aiframer.dev/

Previously at

Hugging Face
DataRobot
OpenHands
Snowflake
Snorkel AI
See all products from Rajiv

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