Connect Ai ml api to Dovetail
When something happens in Ai ml api, Notis takes the next step in Dovetail. Describe what you want in plain English, or start from one of the examples below.
When this happens · Trigger
Do this · Action
Ways Notis can move work from Ai ml api to Dovetail
Turn interview transcripts into research data
Send interview transcripts to Notis for analysis, then save a concise, searchable data item in Dovetail.
Create a weekly research findings brief
On a schedule, have Notis synthesize the research context you provide into a Dovetail doc for the team.
Save a validated research insight
Ask Notis to analyze supplied evidence and capture a clearly supported finding as a Dovetail insight.
Code research responses into review notes
On a recurring schedule, analyze response material you provide and write organized coding notes in Dovetail.
Analyze survey feedback into research data
Submit survey feedback for AI analysis and store a structured summary in the relevant Dovetail project.
Document open questions in ongoing research
Use a recurring review of supplied research context to document unanswered questions and evidence gaps in Dovetail.
Capture interview follow up questions
Analyze a supplied interview and write Dovetail notes with unanswered questions and suggested follow ups grounded in the conversation.
Track recurring feedback themes over time
On a schedule, compare supplied feedback batches with a baseline you provide and record notable changes in a Dovetail note.
Prepare a research evidence summary for a decision
Turn supplied research evidence and a decision question into a concise Dovetail data item that separates support from uncertainty.
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Dovetail. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Dovetail actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Create Channel
Create a channel to organize and collect feedback.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Create Contact
Create a new contact.
Create Data Point
Record and classify a data point in a channel.
Create Data
Creates a research data item in a project.
Create Insight
Save a research insight, optionally linking it to a project.
Create Topic
Create a topic in a channel to organize feedback.
Create Doc
Creates a document in a project; its content is stored but not returned.
Delete Channel
Move a channel to the project trash, where it can be restored for 30 days.
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.
Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.
You · in the Notis Builder
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.”
Notis built this automation:
Watch every run.
Notis Desktop is Mission Control for your AI automations. See every run, replay, edit, or rewind. Set approval gates so Notis pauses before destructive actions.
- Full run history with inputs, outputs and traces
- Replay any run with edited inputs
- Approval inbox, confirm via chat in one tap
- Audit logs for compliance teams
Automations
Inbox
Migrate background jobs to a durable queue You can cancel it through 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.
More ways to connect Ai ml api and Dovetail
Connect any two apps with Notis in the middle.
Ai ml api and Dovetail, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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