Polishing a draft for a search query — with your approval

The scenario rewrites your draft for a target query using the search results, your history in таблица and the Postgres PGVector Store knowledge base, and saves it only after you approve in botHelp.

  • Edits driven by real search results, not taste
  • Tone and facts come from your own knowledge base
  • Nothing is saved without your approval
  • The text history builds up in таблица
Google Sheets ToolSerpApi (Google Search)Pinecone Vector StoreEmbeddings OpenAI
Connect a knowledge base and launchScriptera

How it works

To move data from botHelp to Postgres PGVector Store automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Chat Workflow Trigger
  2. Then: Set Input Parameters
  3. Then: AI Content Optimization Agent
  4. Then: Save Approved Draft to Sheet
  5. Then: Request Human Approval via Slack
  6. Check: Check Human Approval Status
  7. If yes: Send Success Notification to Slack
  8. Then: Short-Term Memory
  9. Then: Enforce JSON Output Structure
  10. Then: Retrieve Context from Google Sheets
  11. Then: OpenAI GPT-4o Mini Model
  12. Then: SerpAPI Competitor Analysis
  13. Then: Query Company Knowledge Base
  14. Then: OpenAI Embeddings for Vector Search

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

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