Agent Platform
AI Agent Evaluation & Testing
We test whether an agent actually performs the required task reliably — before release and continuously in production.
- 01DATASETReal cases with expected outcomes.
- 02RUNThe agent executes each case.
- 03TRACEEvery step is recorded.
- 04GRADEAutomated and human graders score the run.
- 05COMPAREResults are compared with the last release.
- 06EVAL.PASSOnly a release that holds up ships.
What it is
Agent evaluation is a continuous process. We evaluate behaviour, not only model benchmarks: what the agent did, with which tools, and whether the outcome was right.
There is no single universal "agent score". The metrics depend on the system — task success, tool-call accuracy, grounding, policy compliance, latency, cost and human escalation are the usual starting set.
When you need it
- SIGNAL 01Nobody can say whether the last prompt or model change made the agent better or worse.
- SIGNAL 02The agent passes the demo and fails on real cases.
- SIGNAL 03Model benchmarks look good, but the task still fails.
- SIGNAL 04You need evidence of quality before a customer or reviewer will sign off.
What we build
The engineering.
- 01
Golden datasets
Real cases, with the expected outcome, that define what "working" means.
- 02
Task-success and workflow evaluation
Did the agent complete the task and the workflow, not just produce plausible text.
- 03
Trajectory and tool-use evaluation
The path the agent took — which tools, in which order, with which arguments.
- 04
Regression testing
Evaluation that runs on every change and blocks a release that gets worse.
- 05
Safety and adversarial testing
Deliberate attempts to make the agent misbehave.
- 06
Human and production evaluation
Human review where automatic grading is not enough, and evaluation on live traffic.
How it works
One run, end to end.
- 01
DATASET
Real cases with expected outcomes.
- 02
RUN
The agent executes each case.
- 03
TRACE
Every step is recorded.
- 04
GRADE
Automated and human graders score the run.
- 05
COMPARE
Results are compared with the last release.
- 06
EVAL.PASS
Only a release that holds up ships.
What it integrates with
Chosen for the workload and your environment — not a preferred provider.
- Trace stores
- Graders
- Datasets
- CI pipelines
- Model comparison
- Retrieval evaluation
In production
Production is part of development.
Evaluation, security, deployment and operations begin before release — on this service as on every other.
EVAL
How we test it
- Task success, tool-call accuracy and workflow completion.
- Policy compliance, grounding and failure rate.
- Latency, cost and human escalation, tracked across releases.
POLICY
How we secure it
- Safety evaluation and adversarial testing, including prompt injection.
- Policy compliance checks as part of every run.
RUNTIME
How we deploy it
- Evaluation wired into the release pipeline as a gate.
- Model and prompt comparisons before any switch in production.
TRACE
How we operate it
- Production evaluation on sampled live runs.
- New failures turned into new test cases.
What you receive
Engineering outputs, not a deck.
We do not hand over a prototype and leave production engineering to you.
- 01A golden dataset built from real cases
- 02An evaluation suite with task, trajectory and tool-use graders
- 03Regression testing in your release pipeline
- 04Safety and adversarial test results
- 05A report of current behaviour, failures and priorities
- 06Production evaluation running continuously