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Supported Triggers and Actions
Notis builds workflows that link Google Docs to Fal.ai. A trigger fires from one place; an action lands in another.
Google Docs triggers
Fal.ai actions
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.
Cancel Queue Request
Tool to cancel a queued or in-progress request in fal.ai's queue system. Use when you need to stop a request before it completes. Note that cancellation only succeeds if the request hasn't started processing; if already completed, returns an error status. Even with successful cancellation, the request may still execute if it was near the front of the queue.
Document Deleted
Triggers when an existing Google Doc is deleted (moved to trash). This trigger monitors Google Docs and fires when documents are trashed.
Estimate Pricing
Tool to estimate pricing for fal.ai model endpoints. Use when you need to calculate expected costs for API calls or unit-based usage across one or more endpoints.
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.
Get JWKS for Webhook Verification
Tool to retrieve public keys for webhook signature verification. Returns a JSON Web Key Set containing ED25519 public keys. Use when you need to verify webhook signatures from fal.ai. The keys are cacheable but should be refreshed at least every 24 hours.
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.
Get Models
Tool to discover and search fal.ai model endpoints. Use when you need to list all models, find specific models by ID, or search by category/query. Supports pagination and optional expansion of OpenAPI schemas.
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
Get Model Pricing
Tool to retrieve unit pricing for model endpoints. Returns pricing information including unit price, billing unit, and currency. Use when you need to check costs for specific fal.ai models.
Document Updated
Triggers when an existing Google Doc is updated or modified. This trigger monitors Google Docs and fires when documents are updated.
Get Queue Request Result
Tool to retrieve the final result of a completed queue request. Use when you need to get the output of a model request that was submitted to the queue and has finished processing. Only works after request status transitions to COMPLETED.
Document Word Count Threshold
Triggers when a Google Doc's word/character count crosses a user-defined threshold. This trigger monitors a specific Google Doc and fires when its word or character count becomes greater than or equal to the configured threshold value.
Get Queue Request Status With Logs
Tool to retrieve the current status of a queued request with detailed logging information. Use when you need to monitor a queued request's progress and access execution logs for debugging or tracking purposes. Logs include timestamps, severity levels, and detailed messages about request processing.
New Folder Created in Root
Triggers when a new folder is created in the root folder of Google Drive. This trigger monitors Google Drive and fires when new folders are detected in the root directory.
Check Queue Request Status
Tool to check the status of a queued request in fal.ai. Use when you need to monitor the progress of an async request. Returns different information based on status: queue position when IN_QUEUE, logs when IN_PROGRESS or COMPLETED.
Four ways to start an automation.
A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.
Integration triggers
Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.
Webhook triggers
A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.
Recurring triggers
Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.
Database triggers
Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.
Classic automation breaks. AI adapts.
Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.
Describe it. Notis builds it.
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NEW“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”
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Automations
Inbox
Migrate background jobs to a durable queue You can cancel it trough Stripe
3 daysNotis v3 release update This one’s v3: Notis Manager (desktop app with …
8 daysAdd multi-tenant RBAC User initiates a voice call
13 daysDraft pricing v (tiers, limits, overages) and sanity-check margins
2 weeksVerify analytics events for new features That’s a really interesting automat…
1 monthEverything in the box.
Whatever starts the workflow, the platform underneath is the same: a thinking brain, full visibility, and you in control.
AI in the middle
Every step can include an LLM call: summarise, classify, extract, rewrite.
Full observability
Every run, every step, every input, all replay-able from Mission Control.
Human in the loop
Pause for approval. Notis pings you in chat with one-tap approve.
Self-healing
When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.
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