GEO agent for Slack
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Vryse · 2026 · Pilot

Onboarding by conversation, not by form.

Takes a brand from its website to a first AI-visibility report without leaving Slack or Google Chat.

The conversation is a pure state machine with an effect engine — fourteen states, unit-tested without a network. The model only reads replies (English and Hinglish) and drafts text; every number in a reply comes from code. Each chat runs on its own Trigger.dev queue, so messages are handled in order and exactly once.

Running in pilot.

How it works
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Slack · Google Chat → gateway (verified webhooks) → per-chat queue (Trigger.dev, in order) → 14-state machine (pure transitions) → [backend API (as the user) | LLM (structured output)] → reply

Outcomes
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- 14  conversation states, tested without a network
- 18/18  live golden set, English & Hinglish

Stack: TypeScript, Hono, Trigger.dev, Neon Postgres, OpenAI, Zod

https://godnik.in/projects/geo-agent