Model Evaluation & Guardrails
Auditing prompt injection vectors, context leakage, schema drift, and implementing deterministic assertion layers to guarantee strict Pydantic JSON outputs.
Diagnostic Sprint / Architecture Review
A focused 2-week architectural diagnostic for founders, CTOs, and engineering leaders: isolating hallucination vectors, API rate-limit bottlenecks, token cost leaks, and state corruption risks in your prototype or live product.
14+ years across mission-critical enterprise systems, regulated insurance platforms (EFU Life), and high-throughput production AI applications.
Diagnostic Focus Areas
You receive an actionable architectural blueprint, prioritized risk scorecards, and concrete code diffs your team can implement immediately.
Auditing prompt injection vectors, context leakage, schema drift, and implementing deterministic assertion layers to guarantee strict Pydantic JSON outputs.
Inspecting token usage patterns, trimming unnecessary conversation history, configuring Redis semantic caching, and eliminating redundant LLM round-trips.
Designing automatic multi-provider fallback routes (OpenAI to Claude 3.5 Sonnet via AWS Bedrock), circuit breakers, and exponential backoff retry queues.
Uncovering memory leaks in LangChain/LangGraph runtimes, unhandled exceptions in asynchronous agent tools, and deadlocks in vector store lookups.
2-Week Sprint Timeline
Connect observability traces (LangSmith, OpenTelemetry), inspect prompts, output schemas, vector pipelines, and API boundaries.
Simulate rate-limit spikes, malformed user inputs, context window saturation, and concurrent database write races.
Write the exact technical decisions, code diffs, fallback strategies, and cost-reduction architecture.
Deliver the prioritized roadmap, lead the architecture review meeting with your engineering team, and hand over operational runbooks.
Start with clarity
Let’s spend 30 minutes evaluating your current AI architecture and see if the 2-week diagnostic sprint is the right fit for your team.