Services

We help teams shipping LLM agents answer one question with evidence: is this ready? The work is hands-on engineering - reading traces, building datasets and graders, wiring suites into CI, and attacking agents the way an adversary would. It is done by senior US-based engineers, billed hourly on a time-and-materials basis, as a scoped project or as engineers embedded with your team.

What we do

• Agent readiness assessments. An evidence-based answer to "is this agent ready to ship?": trace review, a failure taxonomy from your own runs, a starter eval set of 50+ scored cases, and a written go/no-go with the top risks ranked. Typically about two weeks.
• Eval suite engineering. The regression harness your agent should have shipped with: curated datasets, trajectory and tool-call graders, calibrated LLM-as-judge scoring with measured human agreement, and CI gating. Typically four to six weeks, delivered as code in your repo.
• Agent red-teaming. Structured adversarial testing before launch: indirect prompt injection, authorization boundary probes, data exfiltration paths, unsafe tool use, cost and loop abuse. Every finding ships as a replayable eval case, with a retest.
• Ongoing reliability engineering. Keeping a suite honest as models, prompts and traffic change: dataset growth from production traces, judge drift checks, regression triage and periodic red-team re-runs.
• Staff augmentation. A senior evals or reliability engineer embedded with your team, onsite or remote, working under your direction on your agent stack for as long as the work needs.

Who this is for

• Engineering leaders with an agent in pilot or early production who are being asked "is this safe to launch?" and cannot yet answer with data.
• AI platform teams with tracing in place but no regression suite, where every prompt or model change is a coin flip.
• Agencies and product studios building agents for clients who need an independent pre-launch check they can hand to the client.

How we work with you

• Hourly time and materials. No packages. You pay for senior engineering time, and the scope is agreed in writing through an initial conversation before work starts.
• Project or embedded. Most of the work above runs as a scoped project; all of it can also run as staff augmentation inside your team.
• Your tools, your repo. We build on Langfuse, Promptfoo, Braintrust, OpenTelemetry or plain pytest - whatever you already run - and everything lands in your repository.
• Honest scoping. If intake shows you need less than you asked for, or nothing from us yet, we say so before any work starts.

What we do not do

• Build your agent. We test, measure and harden agents; if you need one built, we will say so and point you elsewhere.
• Issue certifications. We deliver evidence and reproducible findings; nothing we produce should be presented as an attestation.
• Penetration-test your infrastructure. We cover the agent layer and its tool boundary; your security vendor covers the rest.

Next step

Describe the agent - what it does, which tools it calls, what stage it is at - and an engineer will reply within one business day. Contact us.