/ Services

Engineering as a discipline. Intelligence as a tool.

We work in three layers — foundation, instrumentation, intelligence. Engagements are scoped to the layer where the leverage is, not the layer that's fashionable.

01 / FOUNDATION

Architecture & build

Greenfield systems and rescues. We pick the boring, durable choices: typed code, transactional databases, server-rendered front-ends, observable boundaries.

  • → Django / Python services
  • → Postgres-backed domain models
  • → Tailwind / HTMX front-ends
  • → CI, deploys, observability from day one
02 / INSTRUMENTATION

Diagnose & measure

Before we automate anything, we measure where the friction lives. Logs, traces, conversion data, latency budgets — the unflattering version, not the dashboard fantasy.

  • → Performance & query audits
  • → Funnel & friction mapping
  • → Sentry / structured logging setup
  • → SLO definition that means something
03 / INTELLIGENCE

Applied AI

LLMs and classical ML embedded where the measurement justified them. Bounded scope, evaluated outputs, deterministic guardrails around stochastic cores.

  • → RAG over your own corpus
  • → Tool-using agents with audit trails
  • → Eval harnesses & regression suites
  • → Cost & latency budgets enforced

Engagement

Small, sharp, accountable.

Fixed-scope discovery, then time-and-materials build with weekly demos. We don't disappear into a six-month box and surface with a tarball.

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