🤖 AI & Machine Learning

Prompt Pipelines Crack Under Pressure: ORCA's Radical Fix for AI Agents

AI agents built on prompt pipelines handle simple tasks like champs. But throw in real complexity? They shatter. One dev's ORCA experiment aims to fix that with a surgical separation of brains and brawn.

Architecture diagram showing ORCA cognitive runtime layer between LLM agent and tools

⚡ Key Takeaways

  • Prompt pipelines fail at scale due to buried logic, poor observability, and fragility—ORCA separates cognition from execution. 𝕏
  • ORCA uses atomic cognitive ops and composable workflows for traceable, reusable agent behavior. 𝕏
  • This mainframe-to-PC shift could turn AI agents from demo toys into production engines. 𝕏
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Originally reported by Dev.to

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