service · no. 04Engineering · disciplineSenior engineers ready · 04·20·2026

Full-Stack Web Development.

Production web apps, front to back — React and Next.js on the frontend, Node, Go, or Python behind a typed API. Built to be maintained, not rewritten. We design the architecture, ship it to production, and leave your team a typed codebase they can extend without fear.

reactnext.jsnodetypescriptgopython
01Deliverables

What shows up in your repo.

01

Agent graph

Typed nodes, tool schemas, retry and fallback policy. Versioned like code.

agents/*.ts · dag.yaml
02

Eval harness

Golden sets, LLM-as-judge, regression runs on every PR.

evals/*.jsonl · ci.yml
03

Observability

Traces, token costs, hallucination rates, drift alarms. Wired to your stack.

otel · datadog · honeycomb
04

Runbook

What to do when a tool 500s, when latency spikes, when eval red-lines.

docs/runbook.md
02Eval harness — shipped day one

If we can't measure it, we don't ship it.

Every system lands with a golden dataset, LLM-as-judge graders, PII and jailbreak guards, and nightly regression runs in CI. You get a pass/fail number on every pull request.

eval · nightly run · 2026·04·192071 / 2088
policy-compliance347 / 34899.7%
pii-leak348 / 348100%
tone-professional342 / 34898.3%
hallucination346 / 34899.4%
jailbreak-refuse348 / 348100%
latency < 1.5s340 / 34897.7%
03Timeline — how an engagement runs

Ten weeks — demos, not decks.

  1. w 01Discover4 interviews · trace 1 week of the target workflow · define success metric
  2. w 02Architectagent graph v0 · tool contracts · eval set v0
  3. w 03–05Ship v1live demo every Friday · first guarded prod use by w05
  4. w 06–08Hardenload, cost, drift, fallback · SRE review · runbook
  5. w 09–10Handoffin-house eng shadowing · on-call rotation · retro
  6. w 11+Operatewe stay on-call, tune prompts, update graders as the world changes
04Proof — one we shipped

A pricing engine, rebuilt in six weeks.

One representative case. Read the full editorial walkthrough, including the deploy log and latency chart.

05Questions engineering leaders actually ask

Six things finance + eng teams want answered.

Which models do you use?

Whichever is best for the job — Anthropic, OpenAI, Google, or open-weights on your infra. We write the graph so the model is a swappable dependency.

Do you handle our data?

Only under your DPA and with your key-management. We run on your cloud account unless you explicitly ask us to host.

What if the model regresses?

Eval harness runs nightly and on every PR. If a model update breaks a grader, we freeze and triage before rollout.

Can you integrate with our stack?

Yes — our router speaks the APIs your team already runs: Salesforce, Zendesk, Stripe, Snowflake, internal services. We write typed tool schemas.

What does "operate" actually cost?

A monthly retainer tied to eval runs + on-call. Typically 8–15% of the build fee, reviewed quarterly. No surprise hours.

Who owns the code?

You do, from day one. Repo is yours. We leave MIT-licensed helper libraries where we can reuse them across clients.

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