@cooper.simson's reel — transcript & breakdown
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Audio
Subtle, calm background music throughout the video.
Caption
Probably the most controversial thing I’ve said about AI all year 👀 Stay until the end and I’ll show you the exact setup I use to get real work out of AI, instead of 15 half built agents that break every two weeks 🤝 All four prompts and the folder setup are in one free guide. Comment “PLAYBOOK” and I’ll send it over #chatgpt #claude #productivity #automation #learn
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Gancho
I Don't Think You Should Build AI Agents Anymore. Do this instead 👀
The video starts with a bold claim about not building AI agents anymore, immediately grabbing attention and creating curiosity.
“I don't think you should build AI agents anymore.”
The speaker empathizes with common frustrations people face when building AI, making the audience feel understood.
“Now, let me know if this sounds familiar. You caught the AI bug, started building, and now you've got 15 half-finished projects, but only some of them work half the time.”
A visual comparison of 'the old way' vs. 'the new way' clearly illustrates the problem and introduces the simplified solution.
“You were told to build a separate agent for every job then wire it all together, but that's exactly why your AI agent still feels stupid.”
The core concept, 'The AI Delegation Loop,' is introduced as the solution, presenting a structured approach.
“And to build this, you just have to follow one concept called the AI delegation loop.”
Detailed explanation of the first step, 'The Process,' with practical instructions and a prompt.
“First, get Claude chat GBT to interview you about your job until it can run without you. Then use a prompt like this to turn all that info into a playbook.”
Explanation of 'The Toolbox' and 'The Proof' steps, showing how to build and maintain an effective AI system with examples and prompts.
“Next, you have to set up a toolbox, which is where every file, approved script, template, or document your agent makes gets saved and linked back to the playbook as a rule. This way it never builds the same thing twice. Use a prompt like this to set it up. Then third is the proof, and almost nobody does this, but it's a list of what finished actually looks like, wired into the playbook, so your agent has to check its own work before anything comes back to you. Use a prompt like this to set it up.”
A concise summary reinforces the core idea of fixing the playbook, not the 'brain,' simplifying the learning process.
“Now when your agent gets something wrong, you're not fixing it in the chat or updating some giant brain. You're fixing the playbook that the task runs on. That's the whole loop.”
A clear call to action prompts engagement by offering a free guide and prompts in exchange for a comment.
“So, save this and send it to someone who's always saying AI doesn't work. And if you comment playbook, I'll send you a full guide plus all the prompts so you can set this up yourself.”
Details
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