TestMu AI Blogs

Jev cannot browse. I measured what TestMu AI Browser Cloud has to hand it: page size vs the state budget, links vs the 255 Choice ceiling, and loop latency.

Jev, the TypeSafe AI model that returns typed decisions instead of text, is landing inside agents now. What typed output does to how teams verify behaviour.

Meet the three winners of the Kane CLI Online Hackathon: demo.studio, GuardianKane, and KANE vs. ABLE, and how each used Kane CLI to prove AI-built code works.

Jev is TypeSafe AI's System One model: it returns typed decisions with calibrated probabilities instead of text. What it does, how to call it, where it fails.

Most Linux Android emulators are abandonware. These 9 still ship in 2026, with setup notes, KVM tips, and a cloud route to real-device testing.

AI agents in telecom customer service: what they do, the autonomy levels that set test rigor, where they fail on billing and troubleshooting, and how to test.

AI agent security explained: the OWASP Agentic Top 10 risks, the controls that matter, and how to test both what an AI agent says and what it actually does.

Spec driven development explained: what makes a spec an AI agent can build from, the Spec Kit workflow, and the verification half most teams skip.

Recognition accuracy is not evenly distributed across your speakers. See how to measure accent coverage, choose the cohorts, and read a gap you can act on.

Playing a cafe clip behind a prompt is not a noise test. See how to control signal-to-noise ratio, pick noise that breaks recognition, and read the result.

Barge-in decides whether a caller can interrupt your agent. See how to test the stop, where the overlapping words go, and why echo leakage breaks the test.

Disclosure and payment authorization are ordering duties. See how to build the fixtures, scenarios, graders and CI gate that turn them into a runnable suite.

For a FINRA member firm, agent output is a communication. See how to build the fixtures, graders, CI gate and run evidence that turn that into a test suite.

A scored call proves what a healthcare agent said about PHI. See how to build the fixtures, graders, test data and the CI gate that produces that evidence.

Barge-in is one interruption. Calls also drop, transfer and hand off mid-sentence. See how to test what survives when the session breaks rather than the turn.

Most latency numbers for voice agents measure different things. See where to start and stop the clock, what a human ear expects, and what a report must carry.

AI reliability engineering puts SLOs and error budgets on features that never repeat an output. See how to define the SLI, set a policy and degrade safely.

The Digital Omnibus moved the high-risk dates. See what Article 9 requires you to test, what prior defined metrics mean, and what a notified body can demand.

Inbound and outbound phone agents are two test problems. See what changes at turn zero, which legal duties you can assert, and how to split one phone suite.

LLM evals score a model. End-to-end agent testing gates a build. See what each one proves, where they disagree, and how to run both without duplicating work.