Agent Readiness Assessments

An agent readiness assessment turns "the demo works and we have not seen anything terrible" into a ranked list of risks with reproductions, and a starter eval set that proves which ones are real. We read a sample of your agent's own traces by hand, code them into a failure taxonomy, build at least 50 scored eval cases in your repo, and write up the risks with a go/no-go recommendation. Most assessments take about two weeks of senior engineering time.

What we do

• Intake and definitions. Read access to your repo and trace store, a walkthrough of the agent (tools, model, prompts, guardrails), and agreement on what "correct" means for the top three user journeys.
• Trace review and taxonomy. We read a sample of 200-500 production or staging traces by hand and code them into a failure taxonomy specific to your agent: wrong tool, wrong arguments, premature stop, runaway loop, hallucinated state, unsafe action, and whatever else your agent actually does - with frequency and severity per class.
• Starter eval set. At least 50 scored cases in your repo, runnable from the command line with your existing tooling, covering the highest-frequency and highest-severity classes. Each case has an input, an expected trajectory or outcome, and a grader.
• Report and readout. The ten highest-ranked risks, each with a reproduction, blast radius and a recommended fix; a coverage map of what is and is not tested; a go/no-go recommendation with conditions attached; and a one-hour readout with your leads.

Who this is for

• Teams with an agent in pilot or early production whose traces flow into Langfuse, LangSmith, Braintrust or a homegrown table, but who have no regression suite.
• Engineering leaders who have been asked "is this safe to launch?" by security, leadership or a large customer, and want to answer with data.
• Teams inheriting an agent - through an acquisition, a reorg or a departed builder - who need to know what they are holding.

How we work with you

• Hourly time and materials. Scope is agreed in writing through an initial conversation; agents with very large tool surfaces, or where we must build fixtures for external systems to replay traces, take longer and we say so at intake, never partway through.
• What we need from you. Read access to the codebase and trace store (or a trace export), a one-hour walkthrough with the engineer who knows the agent best, and two to four hours of a product reviewer's time to label edge cases.
• What it is not. Not a red-team - we note obvious security exposure but adversarial campaigns are agent red-teaming. Not a complete harness - fifty cases tell you where you stand; eval suite engineering is where the regression suite gets built.

Next step

Most teams start here. Send what the agent does, which tools it calls and what is driving the question, and an engineer will confirm fit within one business day. Contact us.