# Get precise fix recommendations tailored to your stack

> Cleric suggests fixes based on your incident history and runbooks, with clear reasoning you can trust.
>
> Markdown version of https://cleric.ai/solutions/fix-recommendation for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

Solutions / Fix Recommendation. Cleric is an autonomous AI SRE that helps engineering teams quickly diagnose production issues in complex cloud-native environments.

## What Cleric does

### Smart Suggestions

Uses incident history, runbooks, and proven fix patterns to recommend the next step after identifying the cause.

### Transparent Reasoning

Delivers each fix with a traceable explanation of why it fits your environment.

### Seamless Delivery

Sends recommendations with supporting evidence to Slack or Microsoft Teams, tagged to the responsible engineer.

## How Cleric stands out

### Context-Aware Fixes

Tailors recommendations to your specific stack, not generic playbooks.

### Learns from History

Draws on past incidents and fixes for smarter, faster suggestions.

### Reason-Backed

Every recommendation includes clear evidence and logic for quick validation.

## Common fixes

- Database and backend issues
- Job and CronJob failures (Kubernetes)
- Container crashes and OOMKills
- Kubernetes configuration errors
- Certificate expiry

## Your AI SRE is ready for duty

Cleric investigates every alert like your most experienced engineer: always available, always contextual, ready in Slack or Microsoft Teams.

- Connects metrics, logs, and changes instantly
- Identifies root causes with ranked evidence
- Learns and maps your systems over time
- Remembers past incidents to solve new ones

- Start free trial: https://cleric.ai/start
- Explore the product: https://demo.cleric.ai
- Book a demo: https://cleric.ai/demo