6d • General discussion
Proof Before Action: a Telegram workflow for human approval
I nearly treated this as a simple AI request: design a safe way for an AI agent to prepare customer replies without sending twice. The harder part was what evidence must exist before the next action.
For this test, I needed to design a safe way for an AI agent to prepare customer replies without sending twice. I sent the request through Telegram so the agent could turn a conversational instruction into controlled work.
The agent organized the information around proof before action, then produced a draft-review-send workflow with stable keys, explicit delivery states, and an audit trail.
It separated approved, sent, failed, and unknown states and required a human decision before the external send.
My takeaway: Human approval works only when delivery state remains durable after approval. In this community, that matters because the result should clarify what evidence must exist before the next action.
Other tools in this category include Lindy, n8n, Make, and Zapier. The tool I use for this Telegram workflow is Orchestero.
Which piece of evidence would you require first?
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Proof Before Action: a Telegram workflow for human approval
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