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Ahoo

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Ahoo — Demo video

AI agents make mistakes, but figuring out what went wrong shouldn't require technical skills. we built a tool that is targeted toward the normal people instead of engineers. Lucid AI can: - One click connect and update to an agent - Watch all the runs grouped by sessions, watch details of how many prompts were sent/received, the tools used, the context etc. - All runs with errros are automatically added to inbox and there you have an explanation from meta that diagnosed the issue, and the abilkity to apply fix. - have the ability to see usage for 1,7,30 day duration. The future unlocks so many potential for this app, with the limited amount of time we had to focus on making the core features work reliably. but for future, we can. - Have meta muse runs many sandbox runs to test using different tools to see which one brings the best outcome. - Have meta analyze the workflows of the agents to see which ones running inefficiently and which ones can improve. - When running ai agents token maxxing is a huge problem,you can send the simplest prompt and withing minutes it becomes 6-7 runs and each runs adding up previous context bringing the context and cost to unsustainable level,a we can make meta analyze such issus and help agents work with an token minimizing technique. - Many more.

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