Personalized outreach with site research — from lead to send

You drop a link in Telegram — the scenario studies the site, the AI writes a personal email and sends it via devino, keeping count in dataTable.

  • An email tailored to each site
  • The site read and understood by AI
  • Sent via devino
  • Sent-count tracked in dataTable
Postgres Chat MemoryPostgres ToolEmbeddings OpenAIPostgres PGVector Store
Connect devino and goScriptera

How it works

To pass leads from Telegram to devino automatically, use a ready-made scenario — no manual copying, no lost leads.

  1. Starts when: Telegram Trigger
  2. Check: If1
  3. If yes: Check how many email created by id
  4. Then: calculate how many session
  5. Check: set maximum email per id
  6. If yes: apologize message
  7. If no: Code in JavaScript
  8. Check: If2
  9. If yes: notif email creating
  10. Then: Edit Fields
  11. Then: sitemap.xml request
  12. Then: XML
  13. Then: make link array to string
  14. Then: Links ranking
  15. Then: Split Out
  16. Then: HTTP Request1
  17. Then: Markdown1
  18. Check: Merge
  19. Then: trim markdown to less token
  20. Then: flattext
  21. Then: Page Sumarize
  22. Then: Aggregate
  23. Then: Email Craft
  24. Then: sender + signature
  25. Then: Send email
  26. Then: Finish notif
  27. Then: insert log
  28. Then: crawl4ai1
  29. Then: Edit Fields3
  30. Then: broken links notif
  31. Then: sitemap_index.xml request
  32. Then: HTTP Request
  33. Then: Markdown
  34. Then: getting link
  35. Then: crawl4ai
  36. Then: extract link
  37. If no: missing input notif
  38. If no: Edit Fields5
  39. Then: RAG AI Agent
  40. Then: answer query
  41. Then: Delete row(s)
  42. Starts when: Schedule Trigger
  43. Then: Get row(s)1
  44. Then: OpenAI Chat Model
  45. Then: Postgres Chat Memory
  46. Then: List Documents
  47. Then: Get File Contents
  48. Then: Query Document Rows
  49. Then: Embeddings OpenAI2
  50. Then: Postgres PGVector Store

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

Similar scenarios