A food diary from Slack — calories in Quick Base

You type or speak into Slack what you ate — an AI breaks the meal into foods and calories and logs it as a row in Quick Base.

  • Log by voice or text in Slack
  • Voice notes transcribed automatically
  • AI counts foods and calories
  • A dated row lands in Quick Base
Add it to your accountScriptera

How it works

To move data from Slack to Quick Base automatically, use a ready-made scenario — no manual exports.

  1. Starts when: When chat message received
  2. Then: List of Ingredients and nutrients
  3. Then: Explode the list
  4. Then: Add date
  5. Then: Store in sheet
  6. Then: Limit
  7. Then: Respond message
  8. Then: OpenAI Chat Model
  9. Then: Structured Output Parser
  10. Then: Get Audio File
  11. Then: Transcribe Recording
  12. Then: Set chatInput from voice
  13. Starts when: Receive Telegram message
  14. Check: If it's a voice message
  15. If no: Set chatInput from message

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

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