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[00:00] AI Takes Over Health Calls
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Classroom Contents
AI Agent Development Tradeoffs You Need to Know
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- 1 [00:00] AI Takes Over Health Calls
- 2 [05:05] What Can Agents Really Do?
- 3 [08:25] Who’s in Charge—User or Agent?
- 4 [11:20] Why Graphs Matter in Agents
- 5 [15:03] How Complex Should Agents Be?
- 6 [18:33] The Hidden Cost of Model Upgrades
- 7 [21:57] Inside the LLM Agent Loop
- 8 [25:08] Turning Agents into APIs
- 9 [29:06] Scaling Agents Without Meltdowns
- 10 [30:04] The Monorepo Tangle, Explained
- 11 [34:01] Building Agents the Open Source Way
- 12 [38:49] What Production-Ready Agents Look Like
- 13 [41:23] AI That Fixes Code on Its Own
- 14 [43:26] Tracking Agent Behavior with OpenTelemetry
- 15 [46:43] Running Agents Locally with Phoenix
- 16 [52:55] LangGraph Meets Arise for Agent Control
- 17 [53:29] Hunting Hallucinations in Agent Traces
- 18 [56:45] Off-Script Insights Worth Hearing
