Summarize updated Docs matching a search
Keep a watchlist without checking it all day. Notis turns matching document updates into a short priority digest.
Trigger
Document Search Update
Triggers when a Google Doc matching a user-defined search query is newly created or updated since the last poll. This trigger uses timestamp filtering to efficiently monitor documents.
Action
Text Chat Completion
Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.
Why this helps
Important changes are easy to miss when a search result set keeps changing.
- Monitor a focused document set
- See what changed since the last check
- Surface urgent follow-ups
Setup
Build it in a few focused steps.
- 1Connect Google Docs and Ai ml api in Notis.
- 2Create an automation named Search Update Priority Digest.
- 3Tell Notis to compare matching documents, summarize new changes, and rank follow-ups by urgency.
- 4Pick Document Search Update as the trigger.
- 5Choose a report channel and test with one real matching update.
Questions about this workflow
How are documents selected?
The trigger uses the search query you configure for Google Docs.
Can the digest focus on decisions?
Yes. Ask Notis to prioritize decisions, blockers, deadlines, or any other supplied criteria.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Google Docs to Ai ml api. A trigger fires from one place; an action lands in another.
Google Docs triggers
Ai ml api actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Moderation Completion
Tool to classify input text or image for safety using a moderation model. use after receiving user-generated content to filter out unsafe material.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Text Chat Completion
Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.
New Document Created
Triggers when a new Google Doc is created. This trigger monitors Google Docs and fires when new documents are detected. Uses timestamp filtering to efficiently poll for new documents.
Document Deleted
Triggers when an existing Google Doc is deleted (moved to trash). This trigger monitors Google Docs and fires when documents are trashed.
Document Placeholder Filled
Triggers when a Google Doc's plain text changes such that a configured placeholder token/pattern is no longer present (i.e., the document has been filled in). This trigger monitors a specific Google Doc and fires when a placeholder pattern that was previously present is no longer found in the document's plain text.
Document Search Update
Triggers when a Google Doc matching a user-defined search query is newly created or updated since the last poll. This trigger uses timestamp filtering to efficiently monitor documents.
Document Structure Changed
Triggers when a Google Doc's structure changes (headers/footers added/removed, tables/images count changes). This trigger monitors a specific document for structural changes like: - Headers added or removed - Footers added or removed - Tables added or removed - Images (inline objects) added or removed - Positioned objects added or removed - Footnotes added or removed
Document Updated
Triggers when an existing Google Doc is updated or modified. This trigger monitors Google Docs and fires when documents are updated.
Connect any two apps with Notis in the middle.
Google Docs and Ai ml api, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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