"WHY" behind Agent Harness with live demo
AI Engineering
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"WHY" behind Agent Harness with live demo
412 просмотров · 13 дн. назад
AI Engineering
7 подписчиков
412 просмотров · 13 дн. назад
Why do frontier models fail when deployed to real databases?
In this video, we run a controlled live experiment using Anthropic's flagship Claude Opus 5.5 vs a lightweight model (Claude Haiku 4.5) on the exact same billing task.
With zero harness, even Opus 5.5 hallucinates parameters and crashes Python runtime (Score 0/1).
With our 6-Part Agentic Harness, Haiku 4.5 executes tools in parallel, persists lessons to memory, and passes independent state verification (Score 1/1).
The model is just the engine. The harness is the agent.
📌 Chapters:
0:00 - The Frontier Model Myth
1:20 - The Reality: Engine vs. Chassis
2:45 - What Actually Breaks in Production
4:15 - Demo 1: Naked Claude Opus 5.5 Crashes (0/1)
6:10 - The 6-Part Agentic Harness Architecture
7:30 - Demo 2: Harnessed Claude Haiku 4.5 Passes (1/1)
9:15 - Verifying Disk State (database.json)
10:30 - 3 Golden Rules for Production AI Agents
#AIAgents #ClaudeAI #SoftwareEngineering #Python #LLM