Dev Team Spent 3 Months Building Honest Web Search for a Local AI Agent

A development team set out to add web search to a local AI agent that runs entirely on a Mac without sending data to external servers, expecting the task to take one day but ultimately spending three months on it. The team chose to avoid third-party search APIs to preserve user privacy, instead building a native search path using browser technology already available on macOS. This decision meant solving problems like bot detection, inconsistent result parsing, and multiple interacting system failures without outside engineering support. The team documented roughly 25 debugging sessions, encountering repeated false victories where the feature appeared to work before new edge cases exposed deeper flaws. The detailed account was published to help other developers building AI systems that interface with real-world, uncooperative data sources recognize common failure patterns early.