AI agent architecture review
Review agent boundaries, tool use, handoffs, and failure modes before the system hardens in production.
Consulting
I help teams design better AI agent systems, improve context quality, and make LLM-powered workflows more reliable.
Review agent boundaries, tool use, handoffs, and failure modes before the system hardens in production.
Audit prompts, retrieval, memory, instructions, and surrounding data flow to reduce drift and improve reliability.
Practical session for teams building with LLMs, agents, or internal AI tooling.
Send a short message in Telegram with your use case, current stack, and where things feel stuck. If there is a fit, we can scope the next step from there.
Message on Telegram