A practical playbook to cut LLM calls—adaptive routing, one-shot multi-head prompts, deterministic tools, precise RAG, and caching—while protecting task success and user experience.
A production-ready design for implementing a conversational AI evaluation framework—data models, scoring pipeline, slice dashboards, CI gates, and canary rollout.
A production-ready framework to evaluate agentic conversational systems—task outcomes, conversation behaviors, and system reliability—plus datasets, judges, and a CI-friendly harness.
A practitioner’s blueprint for building your first LLM app that’s actually production-ready—deterministic orchestration, typed tools, grounding, safety, observability, and evaluation.
A practitioner’s guide to building reliable agentic AI systems—planning, tools, memory, safety, and evaluation—plus a minimal blueprint you can ship now.
