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Build Your Own AI Ops Assistant — Part 5: The Knowledge Loop
How-ToTools

Build Your Own AI Ops Assistant — Part 5: The Knowledge Loop

via Dev.toStephen Goldberg1mo ago

This is Part 5 of a 6-part series. Part 4 covers the Slack integration. Vector Search, Feedback & Self-Improvement This is the part that separates a demo from a production system. Most AI assistants are stateless; they forget everything between conversations. Harper Eye gets smarter every time your team uses it. Good answers get cached and returned instantly. Bad answers get flagged, degraded, and eventually purged. Here's what the knowledge loop looks like after a few weeks of real usage: 29 knowledge base articles, all created automatically when engineers clicked "Helpful." 24 feedback items — teaching the system what to avoid. Zero degraded entries, meaning the self-healing pipeline is working. That's institutional knowledge being built by your team without anyone having to write a wiki page. The knowledge loop is the compound interest of institutional knowledge. How the Knowledge Loop Works The beauty of this system: no one has to manually curate the knowledge base. Engineers just

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