BitShovel organized “the AI says it is done—how do I know it is deliverable?” into understanding, comparison, evidence, a verification card, and practice.
Why it matters
Products no longer stand as isolated profiles; they return to a reviewable problem and decision process.
Evidence boundary
This proves the page and checklist are public; it does not prove they have helped real users ship.
The profile checks the official site, Chrome Web Store, public repository, and privacy policy, using official demo material.
Why it matters
It adds a concrete approach for observing real browser-agent actions and permission boundaries.
Evidence boundary
This is a public-source review; the extension and local Bridge were not installed, no account was authorized, and maker efficiency claims were not reproduced.
The profile adds the Microsoft Store Windows listing and three product images from the Apple App Store; those store facts do not independently verify agent behavior or data paths.
Why it matters
Public store listings can establish platform and media facts without turning maker presentation into runtime verification.
Evidence boundary
BitShovel did not install the app or independently audit network behavior or interception coverage.
The profile checks product architecture, pricing, FAQ, privacy, download endpoints, and official interface images while retaining a public version mismatch.
Why it matters
It places pre-delivery risk checks for AI-generated code, data payloads, and version evidence in one decision frame.
Evidence boundary
BitShovel did not download, install, authorize, enter a key, monitor network traffic, or validate detection coverage.