LetsClarify – A dead-simple API for Human-in-the-loop AI"
LetsClarify – A dead-simple API for Human-in-the-loop AI"
Hi HN, Most AI agent workflows today rely on "vibes" and prompt engineering to stay on track. We’re essentially trying to cage a chaotic system with natural language, which often fails when 100% reliability is required. After spending several thousand hours on the problem of deterministic layers for AI, I built LetsClarify.ai. It’s a dead-simple API designed to bring a human back into the loop without the overhead of building a custom frontend or notification system. The core idea: Instead of letting an agent guess when it hits an edge case, you trigger a clarification request. The human provides the missing intent via a minimalist interface, and the agent receives structured, type-safe JSON back. Key features: Zero Dashboard: You can generate your API key directly via curl. Ephemeral: No long-term data storage; it’s just a bridge for intent. Architecture-agnostic: It doesn’t matter if you use LangChain, AutoGPT, or a custom script. I believe the path to 100% reliability isn't more brute-force compute, but a mathematically sound way to translate human intent into code. I'm curious: How are you currently handling edge cases where your agents "hallucinate" a path forward instead of asking for help? URL: https://letsclarify.ai/
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