Why company AI agents go stale: adoption needs in-house knowledge, not just better agents
EdenEmarco177 · x · 2026-10-16
An entrepreneur complained his AI agents underperform, go stale, and go unused. jonyarkoni's response: better agents alone won't fix that.
His advice is to build knowledge in-house, give people someone to turn to, and create real reasons to adopt AI — that's how agents keep improving with use. The attached chart contrasts "Owned vs. handed over" adoption: owned adoption compounds over time, handed-over adoption stalls and declines.
More from coding & agent
- Open-Source Google Analytics MCP Server Lets LLMs Query GA Data via Natural Language — modelcontextprotocol · 2026-10-16
- a16z podcast: AI cut a 6-month feature to 10 days and widened engineer gaps 10x — a16z · 2026-10-16
- "Hold On, My Agents Are Freezing My Screen": The Daily Grind of the Agent Era — every · 2026-10-16
- Dev builds MCP feeding Claude 3,000 real launch videos to fix samey AI output — Designer_Landscape25 · 2026-10-16
- Satire: 19 Claude agents 'reverse-engineer' Blender, forgetting it's already open source — Dan_Jeffries1 · 2026-10-16
- Engineers Should Mine Gong Calls for Ideas That Never Became Tickets — curious_vii · 2026-10-16