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Services

What we build, how we scope it, what you get.

Four tightly-scoped offerings. Each one arrives with typed contracts, a replayable eval suite, and an owner on your team. No retainers. No filler work.

Capabilities

Four disciplines. One delivery standard.

Pick the one that moves your roadmap. Scope is agreed before a line of production code lands.

01

AI engineering

Production-grade agent systems, retrieval pipelines, and evaluation infrastructure. Built to hold up under real traffic, not to win a demo.

Best when

An AI subsystem is already shipping — or about to — and the next step is engineering rigor: eval, tracing, contracts.

  • Tool-calling agent loops with policy and contract checks
  • Hybrid retrieval (dense + sparse), rerank, freshness policies
  • Offline eval harnesses and replayable regression suites
  • OpenTelemetry tracing, token accounting, alert routes
Typical deliverables
  • Deployed agent on your stack, behind feature flags
  • Typed contracts at every tool boundary
  • Replayable eval suite wired into CI with baseline
  • Tracing dashboards and alert routes in your tenant
  • Runbook, decision log, and named owner on your team
02

Automation

Typed workflow systems that replace brittle manual ops with idempotent jobs, clean handoffs, and on-call dashboards your team actually owns.

Best when

Manual ops or vendor workflows have outgrown ticketing and the team needs typed contracts plus an on-call story.

  • Durable queues, retries, and backoff as defaults
  • Typed IO contracts between every pipeline stage
  • Human-in-the-loop gates where latency allows
  • Observability + ownership routed to your rotation
Typical deliverables
  • Deployed pipeline owned by a named internal team
  • Typed IO contracts at every stage boundary
  • Documented idempotency and retry policy
  • Dashboards and alert routes wired to your on-call
  • Runbook plus one staged rollout cycle
03

AI products

Focused internal tools and external surfaces that ship fast without sacrificing product fundamentals: design system, accessibility, feature flags.

Best when

The product surface itself is the deliverable — internal tool or external feature — and design-system parity, accessibility, and feature flags are baseline expectations.

  • Thin, reviewable slices — no waterfall roadmaps
  • Design-system-first UI, accessible by default
  • Feature flags and staged rollouts from day one
  • Analytics wired before the first external user
Typical deliverables
  • Shipped product surface with design-system parity
  • Feature flag configuration and staged rollout plan
  • Analytics wired before the first external user
  • Accessibility audit with remediation notes
  • Support handover, runbook, and owner on your team
04

Consulting

Technical reviews and scoped build sprints for teams already in motion who need a second engineer in the room — not a slide deck.

Best when

An in-flight engagement needs a senior outside review or a focused pair-engineering sprint, not a long-term embed.

  • Architecture review against production evidence
  • Eval and observability audits with a written report
  • Pair-engineering sprints on the hardest subsystem
  • Short, high-density engagements — no retainers
Typical deliverables
  • Written architecture review with a decision log
  • Eval and observability audit report
  • Ranked, reviewable recommendations
  • Pair-engineering sprint on the hardest subsystem
What we don't do

The work we turn away.

Saying no early is faster for both sides than discovering misfit on week six. If your engagement is shaped like one of these, we are not the right team.

  • 01Open-ended retainers or staff augmentation. Engagements close on a written acceptance bar.
  • 02Strategy decks without a build component. We bring engineers, not slideware.
  • 03Demoware that wins a stage but cannot survive Monday.
  • 04Compliance certification or auditor sign-off. We can build what auditors inspect; we do not sign off on it.
Delivery standard

What ships with every engagement.

The things we refuse to compromise — whether the scope is six weeks or six months.

Evaluation before release

Every system ships with a replayable eval suite. If it cannot be measured, it does not merge.

Observability from day one

Tracing, token accounting, and alert routes are wired before the first production request.

Handover you can actually run

Typed contracts, written runbooks, and a named owner on your team — not a 200-slide deck.

Engagement shape

Short engagements, narrow scope, visible progress.

We take three clients per quarter. Engagements are sized to the problem, not to a contract template.

Length6–12 weeks
CadenceWeekly scope check
TeamSenior engineer at the wheel
OutputDeployed system + runbook
Stacks we work in
  • TypeScript
  • Python
  • Go
  • Postgres
  • OpenTelemetry
  • Temporal
  • Vercel / AWS / GCP
  • OpenAI / Anthropic / Bedrock