# RunAgain use cases

Task-level guides for AI agent teams.

- [LLM cost tracking](https://runagain.ai/use-cases/llm-cost-tracking.md): Know what every run costs, and who spent it.
- [Reduce LLM costs](https://runagain.ai/use-cases/reduce-llm-costs.md): Cut the spend without cutting the quality.
- [Time-travel debugging](https://runagain.ai/use-cases/time-travel-debugging.md): Go back to the run that broke, and step through it.
- [Regression testing in CI](https://runagain.ai/use-cases/agent-regression-testing-ci.md): The prompt change that breaks checkout never merges.
- [Prompt A/B testing](https://runagain.ai/use-cases/prompt-ab-testing.md): Stop eyeballing prompts. Start measuring them.
- [Hallucination detection](https://runagain.ai/use-cases/hallucination-detection.md): Catch the confident lie before your customer does.
- [Conversation tracing](https://runagain.ai/use-cases/multi-turn-conversation-tracing.md): Read the whole conversation, not twenty separate runs.
- [LLM-judge calibration](https://runagain.ai/use-cases/llm-judge-calibration.md): Trust the judge because you measured it, not because it sounds right.
- [Tool-call failure analysis](https://runagain.ai/use-cases/tool-call-failure-analysis.md): Your agent is only as good as its worst tool call.
- [Structured output validation](https://runagain.ai/use-cases/structured-output-validation.md): The JSON parsed. That does not mean it is right.
- [Tracing coding agents](https://runagain.ai/use-cases/tracing-coding-agents.md): Your coding agents work all day. See what they actually did.
- [Agent & LLM alerting](https://runagain.ai/use-cases/agent-llm-alerting.md): When an agent misbehaves, your phone should know first.

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Markdown mirror of https://runagain.ai/use-cases for agents and LLMs. Append .md to any runagain.ai page URL for its markdown twin. Overview: https://runagain.ai/llms.txt · For agents: https://runagain.ai/for-agents.md