The mood of your comments — with an alert when it turns harsh

AI reads the comments in Facebook Graph API, scores the tone and flags anything harsh to okoCrm at once. The rest accumulates in Microsoft SQL and comes as a report to Gmail.

  • AI scores the tone of every comment
  • Harsh ones trigger an instant okoCrm alert
  • Keeps a sentiment log in Microsoft SQL
  • Sends a regular report to Gmail
Set it up for yourselfScriptera

How it works

To get okoCrm notifications in Facebook Graph API, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: Error Handler Trigger
  2. Then: Slack: Send Error Alert
  3. Then: Fetch Recent Facebook Posts
  4. Then: Format Facebook Data (Code Node)
  5. Then: 💬 Agent - Sentiment & Tone Evaluator
  6. Check: Route Based on Sentiment Score
  7. If yes: Slack Alert - Negative Sentiment
  8. If yes: Prepare Data for Google Sheets
  9. Then: Update Google Sheet - Sentiment Log
  10. If no: Format HTML Email Report (Code Node)
  11. Then: Send Sentiment Report (Outlook)
  12. Then: LLM - OpenAI GPT-4 Model
  13. Then: Memory Buffer - Session Context
  14. Then: Structured JSON Parser
  15. Starts when: Trigger - Daily Sentiment Analysis

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

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