Team-chat questions turn themselves into a knowledge base

The scenario reads questions in Telegram, works out whether they were answered, files the answered ones into oneC and sends the unanswered ones to TimescaleDB for follow-up.

  • The knowledge base grows itself out of real discussions
  • Unanswered questions are never lost — they go on a follow-up list
  • Repeat questions become visible immediately
  • Processing errors are logged, not silently dropped
Set it up for yourselfScriptera

How it works

To move data from Telegram to oneC automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Slack Channel Trigger – Developer Q&A
  2. Check: Validate Slack Message Payload
  3. If yes: Extract Question Metadata (JavaScript)
  4. Then: Classify Developer Question (AI)
  5. Then: Parse AI JSON Output
  6. Check: Check If Question Was Answered
  7. If yes: Save Answered Question to Notion FAQ
  8. If no: Log Unanswered Question to Airtable
  9. If no: Log Workflow Errors to Google Sheets
  10. Then: Configure GPT-4o Model

You can launch this Telegram + oneC integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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