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 Microsoft SQL and sends the unanswered ones to Google Sheets 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 Microsoft SQL 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 + Microsoft SQL integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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