- Improve prompts, model selection, tool usage, and retrieval to increase system decision accuracy.
- Reduce latency, token usage, and costs while maintaining operational reliability.
- Design validation, retries, fallbacks, and uncertainty handling for complex inputs.
- Build evaluation datasets, regression tests, and monitoring dashboards to ensure model quality.
- Improve agent orchestration and tool usage across services, APIs, and external data sources.
- Debug production issues, investigate regressions, and optimize operational runbooks.