Every AI Agent Needs an Owner

Podcast · ~14 min · Podcast

• Production agents fail not through model degradation but through context drift — expanding tool access, broadening scope, accumulating edge-case prompts — until the agent no longer reliably does the original job.
• Seven maintenance components that deteriorate: job definition, contextual diet, memory systems, tool access, scope boundaries, validation methods, and measured value delivery. Any one drifting silently causes failure.
• “Agent maintenance is the grown-up AI skill for 2026” — the organisations deploying reliable agents are those running scheduled maintenance reviews that audit each component and remove rather than add.
• Practical takeaway: assign named human owners to production agents who run periodic audits against the original job definition — the Vercel sales agent case study (removing 80% of tools → better reliability) is the canonical example.