Developer rebuilds SaaS tool after AI agents exposed hidden API and doc failures

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A developer discovered critical infrastructure gaps in his waitlist SaaS product, Waitlister, while attempting to make it fully operable by AI agents without human input. Key issues included an llms.txt file blocked by the vendor's AI-bot filter, a 961KB documentation file that consistently timed out during agent fetches, and soft 404 pages returning HTTP 200 status codes that misled agents into treating missing pages as valid. The developer also found that his email validator rejected plus-tagged addresses commonly used by agents for testing, a bug that had silently affected human users with Gmail aliases as well. To address agent behavior of guessing package names, he published four npm aliases that self-correct to the canonical SDK. The experience highlighted how AI agents fail silently when they hit errors, switching tools without alerting users, making broken integrations nearly invisible to SaaS developers.

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