Cloud-Native Intent Orchestration for Enterprise AI Ecosystems
summary
Claims a working agent harness that decomposes goals, runs a left reflection loop, and enforces resource-bound contracts so task agents don't loop or take unauthorized actions. Architecture lists six components (intent intelligence, orchestrator, specialized agent pool, tools registry, adaptive memory, human-in-loop gate) and a multi-layer adaptive memory (session card, experience store, RAG-backed in‑context facts). Cost routing sends low‑reasoning tasks to smaller LMs, complex work to bigger models, and the roadmap has four phases from foundational to governed scale.
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chapters (14)
- 0:00Agentic AI Shift
- 0:40Enterprise AI Tangle
- 1:50Onboarding Example
- 3:08Orchestration Layer
- 3:54Six Ecosystem Components
- 5:30Smart Routing Costs
- 6:16Orchestrator Workflow
- 7:06Adaptive Memory Layers
- 8:10Onboarding Harness
- 10:05Generative UI Frontend
- 11:10Evals and Auditability
- 12:00Enterprise Roadmap Phases
- 13:41Evolution to Networks
- 14:32Key Takeaways Close
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