Last week a CS student shipped something that solves a very specific, very annoying AI problem.
Your AI agent is capable. It’s just completely clueless about how your company actually operates. The exception your team figured out two years ago. Who approves what. The rule that lives in a random Slack thread from 2022. The agent has no idea any of it exists, so it gives generic answers instead of following your actual processes.
That’s the problem Flowithm fixes.
You connect it to your Slack and Notion, it reads how your company actually works, and then it gives your agents a live API to call before they take any action. The agent doesn’t guess anymore. It calls the API and gets back your exact rules.
Getting started takes 2 minutes:
- 📋 Go to flowithm.vercel.app
- Paste any Slack thread or process doc from your company
- Name the process and hit generate
- ⚙️ Your agents now have a rule layer they can actually call
Pro tip: Start with the process that generates the most “how do we handle X?” questions from new hires. That’s where the gap between what your agent guesses and what you actually do is the biggest. It will also make the before/after obvious fast.
The builder is personally onboarding early testers. Free setup, around 30 minutes. That kind of access from a founder doesn’t last long. 🚀
Built a tool that gives AI agents company specific memory, looking for people to try and test it free
by u/New-Profession9731 in PromptEngineering