AI Features

Lognitor's AI is woven into every layer of the dashboard — from auto-triage to incident reconstruction. AI surfaces insights faster than any dashboard.

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Where to Find AI

• Dashboard — "Scan logs for AI insights" button, Incident Timeline, Incident Report
• Errors — Auto-triage card on error detail, AI Explain/Fix/Analyze tabs
• Releases — Impact Analysis, Summary, Compare, Rollback Advisor
• Alerts — Natural language alert creation, AI-suggested alerts
• Notifications — AI anomaly detection and trend predictions
• AI Chat — Floating button in the bottom-right corner of any page

AI Chat

The AI Chat assistant is accessible from the floating button in the bottom-right corner of any dashboard page.

• Ask questions in plain English: "What happened in the last hour?", "Which service has the most errors?", "Summarize system health."
• The AI analyzes your actual log and error data to provide answers.
• After each response, you'll see which data sources were analyzed (logs, errors, monitors, releases, etc.).
• Conversation history is saved — you can revisit previous conversations from the chat sidebar.

When your daily AI budget is used up, a banner will inform you. The budget resets at midnight UTC.

Auto-Triage

When enabled, Lognitor automatically triages every new error with AI. At the top of the error detail page, you'll see a triage card showing:

• Severity — HIGH, MEDIUM, or LOW
• Root cause summary — A concise explanation of what went wrong
• Suggested fix — Actionable next steps
• Affected user count

Your team starts with context, not confusion.

AI Error Analysis

On the error detail page, the AI tab provides three tools:

• Explain — AI explains what this error means and why it's happening, in plain language.
• Fix — AI suggests code fixes with diffs. You can copy the suggested changes directly.
• Analyze — Deep analysis of patterns, frequency, correlation with deployments, and root cause.

Incident Timelines

On the Dashboard, click "What happened?" to generate an AI-powered incident timeline. The AI reconstructs what happened across your services — showing the chain of events that led to each issue, in chronological order.

Incident Reports

When active errors exist, you can generate a full incident report from the Dashboard. The report includes root cause analysis, timeline of events, affected services and users, and recommended action items. Useful for post-mortems and team communication.

AI Insights

Click "Scan logs for AI insights" on the Dashboard to have AI analyze your recent activity. You can select the time window (e.g., Last 24h). The AI surfaces patterns, anomalies, and actionable suggestions.

The AI insights bar also appears on the Logs page, updating based on your current filters.

Natural Language Alerts

Create alerts by typing plain English on the Alerts page. For example:

• "Alert me if checkout errors spike"
• "Notify when the payment service has more than 10 errors in 5 minutes"
• "Warn me if no logs from api-gateway for 15 minutes"

Lognitor AI generates the alert configuration, shows you a preview, and lets you activate directly, edit manually, or dismiss.

AI-Suggested Alerts

Click "Suggest" on the Alerts page to have AI analyze your recent data and recommend alert rules you should set up based on your application's patterns.

Release Analysis

The release detail page has four AI analysis tools:

• Impact Analysis — Analyzes the release's health, surfaces regressions and improvements, and compares against the previous release.
• Summary — Generates a release summary with status, highlights, top issues, and a Slack-ready message you can copy.
• Compare — Side-by-side comparison against any other release with score bars, improvements, regressions, and errors resolved/introduced.
• Rollback Advisor — AI recommends whether to roll back, monitor, or fix forward — with risk assessment, reasoning, and a one-click "Roll Back Now" button.

Only one AI analysis runs at a time. When one is in progress, the other buttons are disabled.

Anomaly Detection

Lognitor AI proactively monitors your data for anomalies and trends:

• AI anomaly detected — Unusual patterns (e.g., an error spike) trigger a notification with severity and summary.
• AI prediction — When AI detects a trend that may become a problem (e.g., error rate trending upward), it sends a predictive notification.

These appear in your notification bell and can trigger alert channels if configured.