Keep Your AI Prompts Proprietary
Your AI system prompts are competitive advantages. Protect them automatically.
Trigger
Issue Created Trigger
Triggered when a new issue is created.
Action
Anonymize Value
Tool to anonymize a string or array of string values. use when you need to conceal sensitive text before storage or transmission. example: `anonymizevalue().execute(anonymizevaluerequest(data=['secret']))` limitations: only supports list of strings, not nested structures.
Why this helps
When troubleshooting AI behavior, your team discusses system prompts, instructions, or engineering details in issues. A competitor or departing employee sees the issue and learns how you're building AI features. Your differentiation disappears. You need to keep these details private while still tracking issues.
- Protects proprietary AI engineering
- Keeps competitive advantage safe
- Prevents prompt leaks
- Reduces IP exposure
Setup
Build it in a few focused steps.
- 1Set up Linear and Anonyflow with Notis.
- 2Create an automation: 'When a new Linear issue is created, anonymize any AI prompts, system instructions, or AI engineering details.'
- 3Select 'Issue Created' as your trigger.
- 4Send notifications to your Product/Engineering channel.
- 5Test by creating an issue with a sample prompt and verify the prompt content is redacted.
Questions about this workflow
How do I debug AI behavior if the prompt is removed?
Use your AI platform's logging or versioning system. Linear is for tracking the bug, not storing prompts.
Can I reference the prompt by version number instead?
Yes. Say 'Prompt v3.2 produced unexpected output' instead of pasting the full prompt. Keep the mapping in a secure document.
What about discussing general AI concepts?
That's fine. Only specific prompts and instructions are anonymized. General discussions stay visible.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Linear to Anonyflow. A trigger fires from one place; an action lands in another.
Linear triggers
Anonyflow actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Anonymize Value
Tool to anonymize a string or array of string values. use when you need to conceal sensitive text before storage or transmission. example: `anonymizevalue().execute(anonymizevaluerequest(data=['secret']))` limitations: only supports list of strings, not nested structures.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Deanonymize Packet
Tool to deanonymize a json data packet using your private key. use after receiving an anonymized packet to recover specific fields.
Comment Received Trigger
Triggered when a comment is received.
Deanonymize Value
Tool to deanonymize one or more anonymized string values. use when you need to recover the original plaintext values after encryption-based anonymization. example: `deanonymizevalue().execute(deanonymizevaluerequest(data=["<anonymized string>"]))`
Issue Created Trigger
Triggered when a new issue is created.
Test Connection
Tool to test the connection to the anonyflow api. use when verifying that the anonyflow service is reachable and operational before performing anonymization tasks. example: `testconnection().execute(testconnectionrequest())`
Issue Updated Trigger
Triggered when an issue is updated. For example labels are changed, issue status is changed, etc.
Private Team Comment Created
Fires when a new comment is posted on an issue in a private Linear team (polled with the connected user's token).
Private Team Issue Created
Fires when a new issue appears in a private Linear team (polled with the connected user's token).
Private Team Issue Properties Updated
Fires when properties on an issue change in a private Linear team (polled with the connected user's token).
Connect any two apps with Notis in the middle.
Linear and Anonyflow, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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