Prove the agent works before it goes live | Engineering

Capabilities

Everything included, nothing bolted on after the fact.

Agent evaluation harnesses
Accuracy and quality metrics
Automated and regression tests
Edge case and failure testing
Integration and end to end coverage
Adversarial and safety checks
Drift and regression monitoring
Release quality gates

Every build starts with a fixed-scope conversation, no surprise line items after the fact.

The build itself, not a proof of concept.

01Evaluate the AI

We test the agent against real examples and measure how often it gets things right, so quality is a number you can track, not a vibe.

02Test the whole system

The code, the integrations and the interface all get proper test coverage, so the parts around the model are as solid as the model itself.

03Catch the failures

We hunt the tricky inputs, the edge cases and the ways an agent goes wrong, so they surface in testing rather than in front of a customer.

04Guard against drift

Ongoing checks that flag when a model update or a data change quietly degrades quality, before your users are the ones to notice.

FAQ

What does testing and quality assurance for an agent actually involve?

Evaluation harnesses that test the agent against real examples and measure how often it gets things right, plus full test coverage across the code, integrations and interface around it.

Why is testing harder for an AI agent than normal software?

AI is not deterministic, so the same input will not always give the same output. That makes accuracy something we measure and track as a number rather than assume from a single test run.

Does testing stop once the agent goes live?

No. Ongoing drift and regression monitoring flags when a model update or a data change quietly degrades quality, before your users are the ones to notice.

How are tricky or unusual inputs handled?

We hunt the tricky inputs, edge cases and adversarial cases specifically, so they surface in testing rather than in front of a customer.

Interested in solving your problems with software testing & quality assurance?

Tell us what you are trying to do and we will reply with how we would build it, no obligation.

You go live with evidence the agent works, and a safety net that catches problems as the model and your data shift, instead of finding out from an unhappy customer.

Let’s talk