I Built a Local AI Agent That Audits My Own Articles. It Flagged Every Single One.

Not as a gotcha. As a result. Seven URLs. Seven FAILs. My Hashnode profile is missing an H1. Three freeCodeCamp tutorials have meta descriptions that are either missing or over 160 characters. Two ...

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I Built a Local AI Agent That Audits My Own Articles. It Flagged Every Single One.

Source: DEV Community

Not as a gotcha. As a result. Seven URLs. Seven FAILs. My Hashnode profile is missing an H1. Three freeCodeCamp tutorials have meta descriptions that are either missing or over 160 characters. Two DEV.to articles have titles too long for Google to render cleanly. I built the agent. I ran it on my own content first. That's the honest version of the demo. The problem I was actually solving Every digital marketing agency has someone whose job is basically this: open a spreadsheet, visit each client URL, check the title tag, check the description, check the H1, note broken links, paste everything into a report. Repeat weekly. That person costs money. The work is deterministic. The only reason it's still manual is that nobody built the alternative. I built it in a weekend. The stack Browser Use — Python-native browser automation. The agent navigates real pages in a visible Chromium window. Not a headless scraper. Persistent sessions, real rendering, the same page a human would see. Claude A

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