Ax-check

What it does

Ax-check tests how well coding agents can onboard to and use a software product. The tool runs three full agent sessions that attempt to find key product information starting from a homepage, then grades the product on how accessible it is to agents. Users receive a scorecard with a letter grade, specific suggestions for improvements, and recordings of the three agent sessions showing exactly how the agents read the site and interact with the product.

Who it is for

This is for founders and product teams building developer tools, APIs, CLIs, or other products that coding agents might use. The tool targets companies that want to understand whether their documentation, onboarding flow, pricing pages, or product interfaces are navigable by AI agents. It is particularly relevant as LLM-based coding agents become more common and capable of autonomous software integration tasks.

Pricing

The site does not show prices.

How it stands out

The founder built this tool specifically to filter out noise. Existing agent-readiness checks often recommend obscure technical changes that make little practical difference to the actual agent experience. Ax-check focuses on meaningful friction points. It uses DeepSeek 4.1 Flash to simulate agent behavior and grounds feedback in concrete observations from real recorded sessions rather than generic suggestions. The tool shows a public leaderboard of products that have been checked, providing founders with competitive context. Results are delivered as actionable guidance tied to specific areas: documentation, marketing site, CLI setup, MCPs, or Skills.

What a founder should check

A founder building a rival should verify three things: First, whether the scoring model actually correlates with real agent success in production. The leaderboard shows mostly high grades, so explore whether the grading standard is calibrated to differentiate meaningfully or whether it tends to be lenient. Second, examine the switching cost for existing users of agent-readiness tools or consulting services. If companies have already invested in manual audits or competing automation, what concrete advantage does Ax-check offer them to switch? Third, understand the moat. Since the tool relies on existing LLM providers like DeepSeek, the defensibility comes down to the scoring methodology and the leaderboard network effects. Investigate whether competitors could replicate this by simply using different models or more agents per test, and whether the founder's domain expertise from Gauge creates sustainable advantages or if it is replicable by others in the space.