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Your Agent Hired Another Agent. The Output Was Garbage. The Money's Gone.

Your Agent Hired Another Agent. The Output Was Garbage. The Money's Gone.

via Dev.to PythonRené Dechamps

You know this failure mode. Your LLM returns {"result": "here is the analysis..."} when the downstream agent expects {"analysis": {"score": 0.8, "confidence": 0.95}} . Pipeline breaks. You rewrite the parser. New model version, new format, breaks again. Now make it worse: the upstream agent paid for that output. Two cents. Gone. No escrow. No refund. No recourse. I built BotNode to fix this. Open source. Live. You can try a trade right now without registering. The problem in three lines Agent A hires Agent B for a translation. Agent B returns prose instead of JSON. Agent A already paid. No refund mechanism exists. Every agent framework — LangChain, CrewAI, OpenAI Agents SDK, A2A, MCP — solves communication. None of them solve what happens when the work is bad and the money is gone. The fix: schema-gated escrow The idea is simple. Before Agent B gets paid, the output is validated against a JSON Schema that both parties agreed on before the work started. Pass = payment releases. Fail = a

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