Templates / Dispatch Telegram standups into Notion tasks and blocker alerts with OpenAI

Dispatch Telegram standups into Notion tasks and blocker alerts with OpenAI

Ready for 3.0

by Scale On Fajar ✓ · 2 views · created 2026-09-21 · Project Management, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 18 nodes and runs on Telegram events (message, edited message) (plus 1 other trigger). Along the way it connects Telegram, OpenAI Chat Model and Notion.

How it runs

Trigger: On Telegram events (message, edited message) (plus 1 other trigger).

  1. Normalize Telegram Standup (Code): runs custom JavaScript code
  2. Build Sample Standup (Code): runs custom JavaScript code
  3. Check Supported Standup Tag (If): checks a condition and branches into true / false
  4. Extract Tasks from Standup (AI Agent): runs an AI agent, with model: Parse with OpenAI Chat Model
  5. Record Unsupported Report (Code): runs custom JavaScript code
  6. Validate and Split Task Items (Code): runs custom JavaScript code
  7. Process Each Task (Loop Over Items (Split in Batches)): loops over the items in batches
  8. Check for Reported Blocker (If): checks a condition and branches into true / false
  9. Find Task by Source Key (Notion): get many (database page)
  10. Combine Task and Search Result (Merge): merges the data from its input branches

…plus 5 more steps. See the full node list below.

Services it uses

TelegramOpenAI Chat ModelNotion

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (10)

From the author

Quick overview Converts unstructured Telegram standup messages into individual Notion task cards using OpenAI. Validates task statuses, prevents duplicates with deterministic source keys, alerts project leads of critical blockers, and replies to reporters…

Excerpt from Scale On Fajar's description on n8n.io.

View the original on n8n.io → Check your own copy

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