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NOFire AI maps every change in your production, by a human or by an agent, and hands you the one that broke it, with the proof. Ask in plain language. There is no query syntax and no tool to switch to. The docs follow the same four jobs as the product:

Production readiness

See what is fragile before it breaks. A readiness scorecard per service, with owners and open gaps.

Change management

Agents write the pull requests. You review the change, against a live map of what is actually running.

Incidents

Find the change that broke it. What it affected, who owns it, and a link on every claim.

Always-On Workflows

Catch degradation before it pages anyone. Health checks, deploy watches, and cost reviews that run on their own.

Start from what you are thinking

What runs in the background

These are always on, and they make every answer above better over time.

Knowledge

A wiki per service, written from your environment and from what each investigation concluded. Every entry is approved by a person.

Incident channel monitoring

Invite NOFire AI to an incident channel. It watches the conversation, builds context, and starts an investigation on its own.

Where you can ask

Everything above works in Slack, the Chat dashboard, and your IDE, with one exception.

Slack

Tag @NOFire AI in any channel. Results appear in the thread.

Chat dashboard

Investigate at my.nofire.ai. This is the only place with live metric panels, used by service health.

IDE (MCP)

Query from Cursor or Claude Desktop while you code.