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The work

What we actually do.

Engagements shaped around the outcome, not the headcount. Each of these is something we do by hand, end to end, and each is a way in to the same studio.

  1. Product Engineering

    End-to-end product delivery, from a rough idea to a maintainable system in production, built by engineers who own it end to end.

    • Full-stack web apps (TypeScript, React, Next.js)
    • API and data modelling that won't box you in later
    • Incremental delivery, something usable in weeks, not a big-bang launch
    • Pragmatic testing and CI so changes stay safe

  2. AI Engineering

    LLM and agent features built with the same rigour as the rest of the stack, typed, observable, evaluated, and safe to put in front of real users.

    • LLM and agent features wired into real products (retrieval, tool-use, structured output)
    • Evaluations, guardrails, and observability so you can trust what ships
    • AI on top of your own data, with privacy and access handled properly
    • Pragmatic model choice, the smallest thing that works over the most expensive

  3. Prototype to Production

    You have used AI to build something real and got most of the way there. We review it, fix what won't survive real users, and get it safely to production, or build the rest of it with you.

    • A full review of an AI-built codebase, what is solid, what will bite you, and what is missing
    • Hardening for the real world, security, data handling, error cases, and the things demos skip
    • Deployment done properly, CI/CD and infrastructure you can actually afford to run
    • A straight answer on what "production-ready" means for your project, and the hands to get there

  4. Embedded Engineering

    When you need another strong engineer in the team rather than a project delivered, we embed in your codebase and your process and deliver like a full-time hire, for a crunch, a gap between hires, or however long the work runs.

    • Working in your codebase, your stack, and your process, not off to the side
    • Picking up real tickets and shipping them, from feature work to the maintenance nobody enjoys
    • Standups, code review, and planning like any other senior on the team
    • Senior judgement that raises the bar quietly, instead of adding to your backlog

  5. API & Backend

    Backend systems and APIs in Go, type-safe contracts, sane data models, and the operational discipline to run them in production.

    • Go services built for clarity and uptime
    • Type-safe API contracts (Protobuf, Connect, gRPC) shared with the frontend
    • Data modelling across SQL and document stores
    • Observability, rate limiting, and graceful failure built in

  6. Fractional CTO & Advisory

    Technical leadership without the full-time hire, architecture calls, hiring, and the hard "should we even build this" conversations.

    • Architecture and technology decisions you can defend later
    • Technical due diligence and code/infra reviews
    • Hiring support, what roles, what to ask, how to assess
    • A steady second opinion when the stakes are high