Practice

Software, including AI systems.

The work is ordinary in the best sense: understand the problem, build the system, put it in production, keep it honest. AI is one of the tools we use, when it earns its place.

  1. Custom software

    Products, internal tools, and the unglamorous systems that actually run a company. Web services, APIs, data pipelines, and the operational layer around them.

  2. Applied AI

    Language models, retrieval, agents, and evaluation wired into real workflows. We care about failure modes, data boundaries, and whether the thing is usable on a Tuesday afternoon.

  3. Delivery and counsel

    Architecture, implementation, and technical judgment.