service · no. 02Mobile · disciplineSenior engineers ready · 04·20·2026

Mobile App Development.

Native iOS and Android apps and cross-platform React Native builds — offline-first, crash-free, and shipped to the App Store and Google Play with ratings intact. We own the release train from design to store review, and keep the crash rate near zero long after launch.

iosandroidreact nativeswiftkotlin
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.

end · next step

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