SERVICE 00
AI Agents
One engineering practice for shipping production agents.
// One practice, four disciplines.
const practice = {
modernization: "Retire tech debt with agentic coding",
agents: "Production agents on the Claude Agent SDK",
enablement: "Claude Code, org-wide",
production: "Evals, tracing, cost, and reliability",
};
// Every engagement picks a starting point.
// Most end up touching all four.
const engagement = await scope({
goal: "Ship a production agent in <6 weeks",
team: "Engineer-led, no juniors on critical paths",
evals: "Before the agent, not after",
});What it is
AI Agents is the whole practice — the umbrella over the four disciplines we specialize in. Most teams we work with don't need one of these in isolation; they need the full stack working together. The agent is only as reliable as the code it runs against, the tools it calls, the evals that catch regressions, and the humans who know when to step in.
We staff engagements end-to-end. A single engineering team covers modernization, agent orchestration, Claude Code rollouts, and the production scaffolding — evals, tracing, cost dashboards, SOC 2-ready deployments. You get one team, one shared Slack, one GitHub and Linear, and a roadmap that moves through all four disciplines as the work demands. Pick the sub-practice that maps to your starting point below.
Core Services
Four disciplines. One team.
Codebase Modernization
Retire technical debt with agentic coding.
Agentic Systems
Production agents, wired into your stack.
Developer Enablement
Turn your engineering org into a Claude Code org.
Production Readiness
The scaffolding demos never show.
What you get
- 01 Discovery sprint Two weeks of stakeholder interviews, workflow mapping, and a prioritized roadmap that scopes the right starting discipline. No retainer required.
- 02 One engineering team The same engineers cover all four core services — no handoffs, no staffing changes mid-engagement. Everyone has shipped production software at scale.
- 03 Evals before agents Outputs, latency, cost, and failure modes are defined up front and run in CI for the life of the project.
- 04 Production scaffolding Tracing, cost dashboards, lifecycle hooks, and SOC 2-ready deployments come with every engagement, not as a later phase.
- 05 Shared Slack + your tools Everything lives in your GitHub and Linear. You get direct access to the engineers doing the work.
- 06 30-day support window Post-launch support on your shared Slack covering monitoring, common failure modes, and the escalation path.
How we engage
A process designed for production.
Scope the starting point
We map the workflow, identify which sub-practice is the real bottleneck, and scope the engagement around that.
Evals + interfaces first
Whatever the starting discipline, we define success criteria and design the tool and data boundaries before writing agent code.
Build across disciplines
Most engagements pull in two or three core services. The same team covers all of them — no vendor handoffs, no scope re-negotiation.
Ship with scaffolding live
Production deploy with evals, tracing, and cost dashboards wired in. 30-day shared-Slack support window starts at launch.
Tech stack
Ready to build something that actually works?
We start every engagement with a two-week discovery sprint. No retainer required. You walk away with a spec whether you build with us or not.
Start a project →