Connect Zoom to Codeinterpreter
When something happens in Zoom, Notis takes the next step in Codeinterpreter. 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 Zoom to Codeinterpreter
Analyze New Zoom Recording Metrics
Extract duration, speaker time, silence, and file metadata from each changed Zoom recording.
Upload New Zoom Recording for Analysis
Place each new Zoom cloud recording in a Codeinterpreter sandbox for later processing.
Analyze Zoom Meeting Summary Data
Use Python to turn a created or updated Zoom meeting summary into decisions, tasks, and themes.
Forecast Zoom Usage From Daily Reports
Analyze changed Zoom daily usage data and identify growth, capacity, and cost signals.
Audit Zoom Meeting Setting Changes
Review changed meeting settings and explain the operational impact of each modification.
Create an Analysis Sandbox for New Zoom Meetings
Open a fresh Codeinterpreter sandbox whenever a new Zoom meeting is created.
Analyze Zoom Participant Attendance
Analyze new participant report entries to reveal attendance patterns and engagement gaps.
Prepare a Webinar Analysis Workspace
Create a Codeinterpreter sandbox when a new Zoom webinar is created for planning and analysis.
Analyze Webinar Participant Engagement
Use new webinar participant data to assess attendance, retention, and engagement signals.
Supported Triggers and Actions
Notis builds workflows that link Zoom to Codeinterpreter. A trigger fires from one place; an action lands in another.
Zoom triggers
Codeinterpreter actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Create Sandbox
Create a sandbox to execute python code in a jupyter notebook cell. this is useful for agents to communicate, execute code, see output, read files, write files, etc. it's like you own personal computer, but in the cloud. use /home/user folder to write/read files.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Execute Code
Execute python code in a sandbox and return any result, stdout, stderr, and error. use /home/user folder to write/read files. try to not use plt.show() as the code is executed remotely. use files for image/chart output instead.
Daily Usage Report Changed
Triggers when the Zoom daily usage report changes for a selected year/month. This trigger monitors daily usage statistics including: - New users added - Number of meetings held - Participant counts - Meeting minutes consumed
Get File
Get a file from the sandbox and returns the file. the files should be read from /home/user folder.
Meeting Details Changed
Triggers when a specific meeting's details change. Detects changes such as: - Meeting topic changes - Agenda updates - Schedule changes (timezone, duration) - Settings modifications (waiting room, recording, video, etc.) - Password changes - Recurrence pattern updates
Run Terminal Command
Run a command in the terminal and returns the stdout, stderr, and error code. use /home/user folder to write/read files.
Meeting Recording Changed
Triggers when a specific meeting's cloud recordings change. Detects changes such as: - New recording files appearing - Recording processing completion (status changes) - Recording metadata changes (count, size, etc.) - New participant audio files
Upload File
Upload a file to the sandbox environment. the files should be uploaded to the /home/user folder.
Meeting Summary Created or Updated
Triggers when a meeting summary is created or updated for a specific meeting. IMPORTANT: This trigger requires a PAID Zoom account (Pro, Business, or Enterprise plan). Free Zoom accounts cannot use this feature. Additionally requires: - AI Companion feature enabled in account settings - Meeting must not be end-to-end encrypted (E2EE) - Meeting summary must be enabled and generated for the meeting
New Cloud Recording
Triggers when a new cloud recording meeting instance appears for a user.
New Meeting Created
Triggers when a new Zoom meeting is created for a user.
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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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 Zoom and Codeinterpreter
Connect any two apps with Notis in the middle.
Zoom and Codeinterpreter, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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