I Built An AI Incident Copilot That Does Not Store Your Logs
Every engineer does this.
Something breaks in production. You grab the logs. You paste them into an AI chat. You ask for help. The AI gives a good answer.
Most people think this is normal. It is not. It is a massive security risk.
Production logs contain sensitive data. They hold customer IDs, auth errors, stack traces, and API responses. Sometimes they even contain secrets.
The current way to debug is to paste private data into a chat box and hope for the best. I wanted AI help without the data leak risk.
So I built an AI incident copilot. I followed one rule: The app must be useful even if we refuse to store your data.
The app acts as an AI war room. You paste logs, traces, or errors. It helps you:
• Summarize changes • Find failure points • Group noisy logs • Explain stack traces • Suggest mitigation steps • Draft postmortem timelines
Most developers build apps like this: Input → Backend → Database → LLM → Database → UI.
That is a dangerous way to build. Now your app owns an archive of every production failure. You have to worry about breaches, backups, and admin access.
I wanted a private scratchpad, not a SaaS dashboard.
My design rule is: Process data, do not collect it.
The architecture works differently:
- Chat history stays in your browser.
- The backend does not save prompts.
- The backend does not save model responses.
- Every request is disposable.
I used the Icelake AI API because it fits this privacy model. The server performs three steps:
- Redacts sensitive values.
- Sends a minimized prompt to the API.
- Returns the answer without storing the request.
Redaction helps, but it is not a magic shield. It will not catch everything. The real win is reducing how much data you keep after the request ends.
Redaction lowers risk during the call. Not storing logs lowers risk forever.
Most AI apps ask: What can we collect? This app asks: What can we avoid collecting?
This approach makes the product better. Users feel safe. They are willing to use it during real incidents because they know their thoughts are not being filed away in my database.
The next wave of AI apps should not just compete on how smart they are. They should compete on restraint.
Ask yourself: • What do you refuse to store? • What do you make impossible for yourself to access? • What disappears when the session ends?
AI tools should be useful because they do not remember everything.
Optional learning community: https://t.me/GyaanSetuAi