How we can work together

When it's for

• • You have prototypes or half‑shipped AI features.
• • You need them production‑ready, observable, and safe under real traffic.

What I do

• • Audit current architecture, prompts, and data flows.
• • Design or refine the system around LLMs (TypeScript, Effect, Next.js, Vercel AI SDK / LangGraph).
• • Add logging, tracing, evals, and guardrails.
• • Pair with your engineers to raise the bar on TS, Effect, and AI‑assisted workflows.

Outcome

One or more AI features live in production, with dashboards and docs your team can own.

When it's for

• • You're planning new AI features or a refactor and want to avoid expensive mistakes.
• • You want a second set of senior eyes on design and failure modes.

What I do

• • Review your product goals and constraints.
• • Propose an end‑to‑end architecture for AI features.
• • Identify risks: data leakage, latency, cost, reliability, eval coverage, and operational load.
• • Deliver a written design doc plus implementation roadmap.

Outcome

Clear architecture, trade‑offs, and a practical path to ship soundly.

When it's for

• • Your team is using AI tools, but quality is uneven.
• • You want engineers to move faster without sacrificing correctness.

What I do

• • Introduce patterns for using AI in day‑to‑day development (tests, refactors, docs).
• • Run focused sessions on Effect, typed APIs, and failure‑first design.
• • Pair on real tickets to turn patterns into habits.

Outcome

A team that ships more with less rework — and a shared language for sound engineering with AI.