An article from idea to publish — in one conversation

You post a topic in chat, and the scenario carries the piece through brief, draft and polish, saving each step to таблица, publishing on your approval via ruSender, and notifying WhatsApp Business Cloud.

  • The whole path of a piece in one chat
  • Every stage recorded in a sheet
  • Published only after you approve
  • A success notice into your messenger
ChatGoogle Sheets Tool
Set it up for yourselfScriptera

How it works

To get ruSender notifications in WhatsApp Business Cloud, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: When chat message received
  2. Then: AI Agent Orchestration
  3. Then: format data for subworkflows
  4. Check: Intent Router
  5. If yes: Format Intent Payload
  6. Then: AI Agent (Chat Composer)
  7. Then: Logging Chat Composer
  8. Then: AI Agent Chat
  9. Starts when: Respond to Webhook
  10. If no: Format Intent Payload Brief
  11. Then: AI Agent (Brief Writer)1
  12. Then: Logging Brief
  13. If no: Format Intent Payload Draft
  14. Then: AI Agent (Draft Writer)
  15. Then: Logging Draft
  16. If no: Format Payload Data Optimizer
  17. Then: AI Agent Optimizer
  18. Then: Logging Optimizer
  19. If no: Prepare Publishing Metadata
  20. Then: AI Agent (Publisher)
  21. Then: Logging Published Data
  22. Then: Send Content for Approval
  23. Check: Check Approval Status
  24. If yes: Publish to Recipient
  25. If yes: Send Success Notification to Slack
  26. If no: Prepare MetaData Monitor
  27. Then: AI Agent (Monitor)
  28. Then: Logging Monitor Data
  29. Then: Structured Output Parser1
  30. Then: Simple Memory
  31. Then: Fetch Optimized Draft from Sheets
  32. Then: Fetch Published Version from Sheets
  33. Then: Fetch Performance Metrics
  34. Then: Content Classifier Model
  35. Then: Analytics Summary Model
  36. Then: OpenAI Chat Model Monitor
  37. Then: Short-Term Memory Monitor
  38. Then: Output Parser (JSON Enforcement) Monitor
  39. Then: OpenAI Chat Model Publisher
  40. Then: Short-Term Memory Publisher
  41. Then: Output Parser (JSON Enforcement) Publisher
  42. Then: OpenAI Chat Model Optmizer
  43. Then: Short-Term Memory Optmizer
  44. Then: Get Context from Google Sheets Optmizer
  45. Then: Output Parser (JSON Enforcement) Optmizer
  46. Then: Short-Term Memory Draft
  47. Then: Get Context from Google Sheets For Draft
  48. Then: Output Parser (JSON Enforcement) Draft
  49. Then: OpenAI Chat Model Brief
  50. Then: Short-Term Memory Brief
  51. Then: Get Context from Google Sheets Brief
  52. Then: Output Parser (JSON Enforcement) Brief
  53. Then: OpenAI Chat Model Chat Composer
  54. Then: Short-Term Memory Chat Composer
  55. Then: Get row(s) in sheet in Google Sheets For Reference
  56. Then: Output Parser (JSON Enforcement) Chat Composer
  57. Then: OpenAI Chat Model Human Chat
  58. Then: Simple Memory Chat
  59. Then: Structured Output Parser Chat
  60. Then: Get Reference from Content Items
  61. Then: Get Data from Content Version
  62. Then: Get Data from Conversion Logs

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

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