Перейти к содержимому

"WHY" behind Agent Harness with live demo

AI Engineering

0:00 / 0:00

"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