Hi Product Hunt — I’m Vivian. I build infra and spend a lot of time on one question: “Should this action be allowed to execute?” Agents are moving from talking to doing: calling APIs, creating resources, changing configs, and triggering payments. When something goes wrong, the post-mortem is always the same — the system lacked a deterministic, auditable “gate” before execution. So we built Andon: a pre-execution trust layer that returns Approve / Block / Human Review in ~200ms, with a verifiable evidence chain. What makes it different Deterministic rules engine (no “the model feels like it”) No Source, No Output — every decision ships with traceable evidence Risk boundaries + exit-ready controls — high-risk actions are stopped before they happen Optional LLM explanations — for wording only, never for the decision Where it’s used Agentic payments / procurement: “Should money move to this vendor / URL?” Tool use: “Can the agent call this endpoint with these parameters?” Ops automation: “Should this workflow create/modify prod resources?” Would love your feedback Which actions would you gate first? What signals/policies matter most in your environment? Which integrations should we ship next (Stripe, Slack, LangGraph, etc.)? Happy to answer anything here — if you’re building agent workflows, I’d love to learn what you’re protecting.

Andon — Trust Gate for AI Agents

Deterministic trust gate for AI agent actions & payments

Deterministic trust gate for AI agent actions & payments