Make Your Agent Prove ItBuilding the Assurance Layer on Web and Mobile

AI coding agents are confident by design. They finish a task, report success and move on. That confidence rests on what the agent can see: source code, compiler output and unit tests, none of which show the app as it renders. So an agent can mark a checkout flow complete while the Pay button calls the wrong endpoint or the screen breaks on a phone, and it sounds just as sure as when it's right.

Confidence ≠ correctness. As agents write more of the code, teams need a layer between the agent's claim and the merge. That layer runs the app the way a user would and brings back proof. This masterclass is where you build it.

We start with a feature written by an AI coding agent (Claude Code, Codex CLI or Gemini CLI) and install the Kane CLI skill so the agent can check its own work. It runs the flow in a real Chrome browser, reads a structured pass or fail, fixes what broke and runs again. Then we point the same checks at web and mobile. The objectives stay in natural language, and there's no second framework to learn. Each run leaves a sealed evidence pack with screenshots, network and console logs, and the verdict. Last, we make that evidence a required check on the pull request, so the agent's word alone can't get code merged.