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# Patterns

## Docs

- [Patterns](https://docs.milliseconds.ai/patterns/overview.md): Six ways to wire typed decisions into a system, and the problem each one removes.
- [Confidence routing](https://docs.milliseconds.ai/patterns/confidence-routing.md): Treat confidence as a second axis and send every decision to act, confirm, review or escalate.
- [LLM guardrails](https://docs.milliseconds.ai/patterns/llm-guardrails.md): Screen every message into and out of your LLM app with one batched yes-no call.
- [Extract, then verify](https://docs.milliseconds.ai/patterns/extract-then-verify.md): Read a field out of the text, check it against the source, and queue the disagreements for a person.
- [Cascade to an LLM](https://docs.milliseconds.ai/patterns/cascade.md): Decide the easy cases with decision-machine-1 and send only the uncertain ones to a large model.
- [Composite scoring](https://docs.milliseconds.ai/patterns/composite-scoring.md): Split one broad judgment into atomic rate calls, then weight the scores in your own code.
- [Intent routing](https://docs.milliseconds.ai/patterns/intent-routing.md): Send each incoming turn to the right tool, agent, or queue with one classify call over described labels.