Make your AI agent or RAG system more reliable before it reaches production.

I will review your system architecture, agent workflows, retrieval pipeline, tool integrations, error handling, evaluation strategy, and observability setup. You will receive a practical, prioritized plan for improving reliability, debuggability, performance, and operating cost.

What’s included:

• Architecture and critical code-path review • Agent failure-mode analysis • Review of tool calling, retrieval, retries, and fallbacks • Evaluation and observability recommendations • Security and production-readiness considerations • Prioritized remediation roadmap • 60-minute walkthrough and Q&A

This service is best for teams that already have an AI agent, copilot, automation workflow, or RAG application and want an experienced engineering review before scaling it.

Implementation of recommended improvements can be scoped as a follow-up project.