Description
On Tuesday’s show, the DAS crew focused almost entirely on AI agents, autonomy, and where the idea of “hands off” AI breaks down in practice. The discussion moved from agent hype into real operational limits, including reliability, context loss, decision authority, and human oversight. The crew unpacked why agents work best as coordinated systems rather than independent actors, how over automation creates new failure modes, and why organizations underestimate the cost of monitoring, correction, and trust. The second half of the show dug deeper into responsibility boundaries, escalation paths, and what realistic agent deployment actually looks like in production today. Key Points Discussed Fully autonomous agents remain unreliable in real world workflows Most agent failures come from missing context and poor handoffs Humans still provide judgment, prioritization, and accountability Coordination layers matter more than individual agent capability Over automation increases hidden operational risk Escalation paths are critical for safe agent deployment “Set it and forget it” AI is mostly a myth Agents succeed when designed as assistive systems, not replacements Timestamps and Topics 00:00:18 👋 Opening and show setup 00:03:10 🤖 Framing the agent autonomy problem 00:07:45 ⚠️ Why fully autonomous agents fail in practice 00:13:30 🧠 Context loss and decision quality issues 00:19:40 🔁 Coordination layers vs standalone agents 00:26:15 🧱 Human oversight and escalation paths 00:33:50 📉 Hidden costs of over automation 00:41:20 🧩 Responsibility, ownership, and trust 00:49:05 🔮 What realistic agent deployment looks like today 00:57:40 📋 How teams should scope agent authority 01:04:40 🏁 Closing and reminders