I Built a NotebookLM + Gemini Workflow That Makes Prompt Engineering Pointless

Most people try to get better at prompting. More frameworks. More structure. More context.

That's exhausting. And it doesn't scale.

I was walking my wife through one of my prompt workflows — the structure, the layers, the sequencing. She listened. Then she said: "Yeah that's great Craig, but I'm never going to remember all that. Can't you just do it for me?"
So I built something that does.

In this video I'm showing you a two-file workflow I built in NotebookLM and Gemini that takes any messy, half-baked idea you throw at it and turns it into a clean structured prompt — automatically, every time, for any topic.

I'll show you exactly how it works, why the combination of JSON and a chain-of-thought layer is what makes it consistent, and how to build the whole thing in under ten minutes.

📌 Drop a comment with the first messy idea you tested it on — I want to see what people are getting with this.
👍 If this saves you time hit the like button so more people find it.

✅ The full system instructions, example pairs, and Gem setup are all in the Notion doc below. Everything you need is already written. Just copy, paste, and build. https://www.notion.so/Stop-Trying-to-Write-Better-Prompts-330606421d1280518260e79201d0d866?source=copy_link

✅ 💯 🏆 This is my primary, all in one image and video creation tool: https://higgsfield.ai/s/higgsfield-seedance-2-0-craigdoesai-kAtQSK

0:00 - Intro
1:07 - Boring but Important
4:53 - Step 1
5:49 - System Instructions
7:20 - Example Pairs
8:36 - Gemini Setup
9:41 - Gem Creation
10:31 - Demo
12:29 - Outro

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Видео I Built a NotebookLM + Gemini Workflow That Makes Prompt Engineering Pointless канала Craig Does AI