Inspiration

AI is no longer limited by what it can do, it's limited by discoverability. Thousands of AI tools, plugins, and specialized assistants already exist, but most people never find the ones that fit their workflow. Instead, they rely on ChatGPT for everything, manually stitching together repetitive processes because they don't know a better solution exists. Intervene AI tackles this distribution problem by understanding how people actually work around ChatGPT and surfacing the right tools at the exact moment they're needed.

What it does

Intervene AI watches how you use ChatGPT, spots the tabs you keep bouncing between, figures out what you're actually trying to get done, and suggests plugins that eliminate the busywork. Because if you've copied the same thing into ChatGPT twelve times, there's probably a better way.

How we built it

Everything was built with the help of Codex and ChatGPT.

Challenges we ran into

This is the very first time I've built something slightly technical, so everything was a challenge!! The original scope was to analyse the user's workflow with rrweb, and an LLM would match the user with an AI-powered app from a wider directory, but I've hit some issues with scraping wider directories, so I decided to build a minimal MVP focused on recommending ChatGPT integrations and custom GPTs.

Accomplishments that we're proud of

Being able to build something that functions, for the first time ever, and in under 3 days!

What we learned

What's next for Intervene AI

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