Diagnostic Sprint / Architecture Review

Find the failure points in your AI system before your customers do.

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.

2-WeekFixed-scope diagnostic sprint with immediate deliverables
360°Audit covering prompts, schemas, state graphs & cloud infrastructure
Direct ROIImmediate token cost reductions & reliability hardening

Diagnostic Focus Areas

What the 2-week architecture review inspects and hardens.

You receive an actionable architectural blueprint, prioritized risk scorecards, and concrete code diffs your team can implement immediately.

01 / Hallucination & Accuracy

Model Evaluation & Guardrails

Auditing prompt injection vectors, context leakage, schema drift, and implementing deterministic assertion layers to guarantee strict Pydantic JSON outputs.

02 / Cost & Latency

Token Optimization & Semantic Caching

Inspecting token usage patterns, trimming unnecessary conversation history, configuring Redis semantic caching, and eliminating redundant LLM round-trips.

03 / Availability & Fallbacks

Multi-Model Failover & Resiliency

Designing automatic multi-provider fallback routes (OpenAI to Claude 3.5 Sonnet via AWS Bedrock), circuit breakers, and exponential backoff retry queues.

04 / State & Memory Leaks

Agent StateGraph & Session Safety

Uncovering memory leaks in LangChain/LangGraph runtimes, unhandled exceptions in asynchronous agent tools, and deadlocks in vector store lookups.

2-Week Sprint Timeline

From code review to a hardened architecture roadmap.

01

Codebase & Trace Ingestion (Days 1–3)

Connect observability traces (LangSmith, OpenTelemetry), inspect prompts, output schemas, vector pipelines, and API boundaries.

02

Synthetic Pressure Testing (Days 4–7)

Simulate rate-limit spikes, malformed user inputs, context window saturation, and concurrent database write races.

03

Remediation Blueprint & Code Diffs (Days 8–11)

Write the exact technical decisions, code diffs, fallback strategies, and cost-reduction architecture.

04

Executive Presentation & Handoff (Days 12–14)

Deliver the prioritized roadmap, lead the architecture review meeting with your engineering team, and hand over operational runbooks.

Start with clarity

Don’t wait for an outage or surprise API bill.

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.