LLM application architecture
A structured architecture review of your LLM-powered product, from retrieval design to failure modes, so your team can ship with confidence.
Timeline
2-4 weeks
Format
Review plus working sessions
What you get
- Architecture review of the current LLM system, documented with clear gaps and risks
- Retrieval and context strategy that fits your data sources and latency budget
- Model selection and routing plan with cost and latency trade-offs made explicit
- Failure-mode analysis covering hallucination, staleness, and access control
- A prioritized engineering backlog your team can execute without me
Most LLM features that stall between demo and production are not blocked by the model. They are blocked by architecture decisions nobody made explicitly: which context goes into the prompt, how retrieval quality is measured, what happens when the model is wrong, and what the system costs per query at real volume.
This engagement is a structured review of your LLM application as it exists today. I map the flow from data source to user response, identify where quality and cost leak, and leave you with a documented target architecture and a prioritized backlog. Everything is grounded in your actual stack, not a reference architecture from a conference deck.
Good fit if you have a working prototype, real users waiting, and a team that can build but wants a second, experienced pair of eyes on the design.