TestMu AI Author

Automation

Discover what's new and why it matters. Powered by Claude Opus 5.5, TestMu AI delivers Agent Assurance for your AI deployments - test web, mobile, and AI agents, all on one platform.

Software Testing

Compare the 9 best contact center testing tools for 2026 across IVR, call path, audio quality, and AI voice agents, with features, fit, and honest limits.

Automation

Conversational AI in healthcare: real use cases, the risks that reach patients, the CMS criteria it must meet, and a test plan that proves it is safe to launch.

Automation

How Cursor rules work: where .mdc files live, which of the four rule types fires when, the surfaces rules never reach, and how to verify what Cursor writes.

Software Testing

Large language models now write tests, draft bug reports, and update test documentation. Learn where they help software testing and where they break.

Software Testing

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.

Automation

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.

Software Testing

OCR in test automation verifies text your DOM cannot see, inside images, canvas, and PDFs. Learn when to use OCR and how to keep assertions reliable at scale.

Playwright

Compare 5 Playwright MCP alternatives for AI agents, from Chrome DevTools MCP to Kane CLI and Mobile MCP, with tool counts, context cost, and setup commands.

Software Testing

TestMu AI tests a chatbot by sending autonomous AI evaluators to converse with it like real users, then scoring every reply across nine quality metrics such as hallucination detection, context awareness, and tone consistency instead of matching one exact string. It also probes for prompt injection and jailbreaks, needing no code, scripts, or maintained assertions.

Software Testing

TestMu AI tests a voice agent by placing real phone calls through autonomous phone-caller agents and scoring the conversation across more than 30 metrics, including intent recognition, speech-to-text accuracy, containment rate, and estimated CSAT. It runs the same scenario through 200+ voice profiles, 50+ accents, and 15 background-noise presets, catching failures a single scripted call never reaches.

Software Testing

TestMu AI tests an IVR system by placing a real phone call, pressing the same DTMF digits a caller would, and scoring the routed path across more than 30 metrics, including DTMF Detection, Containment Rate, and First Call Resolution, instead of a telephony script that breaks when a menu is reordered. It also runs paths through accents and noise.

Software Testing

TestMu AI's automated mobile testing now covers Firefox, Microsoft Edge, Opera, Brave, DuckDuckGo, and Samsung Internet on Android virtual devices, plus Chromium, Firefox, Brave, and DuckDuckGo on iOS simulators, which previously supported only Safari, so teams can catch cross-browser rendering issues early without physical devices.

Automation

A virtual device is a software program that mimics a smartphone or desktop's features so testers can run an app and check its functionality without physical hardware. The two main types are emulators, which imitate a device's actual machine code, and simulators, which only replicate software behavior.