Connect GitHub to Deep research
When something happens in GitHub, Notis takes the next step in Deep research. 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 GitHub to Deep research
Research a competitor named in a new issue
Turn a new GitHub issue about a competitor into a sourced brief before the next decision.
Compare tools requested in a pull request
When a pull request proposes a tool, compare the options against the decision criteria in its description.
Deliver a research follow-up for a new issue
Send a later report that answers the explicit research question in a newly created GitHub issue.
Research an API named in a pull request
Create a sourced API brief from the endpoint, vendor, and open question described in a new pull request.
Compare market approaches from a new issue
Compare the approaches, products, or vendors named in a market research issue.
Deliver architecture research for a pull request
Return a later report on the architecture question and alternatives described in a new pull request.
Compare customer segments from an issue
Compare customer segments named in a new GitHub issue against its product priorities and flag missing evidence.
Compare database choices in a pull request
Compare databases named in a new pull request using its stated requirements and open question.
Deliver research on a regulatory question
Return a later sourced report for the regulatory topic and question recorded in a new issue.
Supported Triggers and Actions
Notis builds workflows that link GitHub to Deep research. A trigger fires from one place; an action lands in another.
GitHub triggers
Deep research actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Research a company
Get a sourced brief before a call.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Compare options
Weigh several products, vendors, or approaches.
New Workflow Artifact Created
Triggers when a new workflow artifact is created in a GitHub repository. Monitors for newly created GitHub Actions workflow artifacts. Optionally filters by artifact name to restrict monitoring to specific artifacts.
Deliver it later
The report arrives as a follow-up message when it is ready.
Branch Changed
Triggers when a GitHub branch changes. Monitors a specific branch for: - New commits pushed (head commit SHA changes) - Protection status toggled (branch becomes protected or unprotected) - Protection settings changed, including: required status checks and their enforcement level, admin enforcement, required pull request reviews (dismiss stale reviews, code owner reviews, approving review count, last push approval), required linear history, force push allowance, deletion allowance, conversation resolution, branch locking, and fork syncing.
New Branch Created
Triggers when a new branch is created in a GitHub repository. Detects newly created branches. Deleted branches do not fire events.
Check Run Status / Conclusion Changed
Triggers when a specific GitHub check run changes its status or conclusion. Monitors a single check run for changes to: status (queued, in_progress, completed, etc.), conclusion (success, failure, neutral, cancelled, skipped, timed_out, action_required), started_at, and completed_at.
Check Suite Status / Conclusion Changed
Triggers when a GitHub check suite changes its status or conclusion for a given ref. Monitors all check suites associated with a git reference (branch, tag, or commit SHA) for changes to status (queued, in_progress, completed, etc.) and conclusion (success, failure, neutral, cancelled, skipped, timed_out, action_required, startup_failure, stale). Optionally filters by GitHub App ID.
New Code Scanning Alert Created
Triggers when a new code scanning alert is created in a repository. Fires an event for each newly created code scanning alert detected in the configured repository. Alerts can be filtered by Git reference, scanning tool, state, and severity. The payload includes the alert number, rule details, tool information, state, severity, and the location of the most recent instance.
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
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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 GitHub and Deep research
Connect any two apps with Notis in the middle.
GitHub and Deep research, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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