This is exactly where businesses start to see ROI: persistent memory, controlled tool use, and multi-step autonomy.
Python, the AI agent evolution is fascinating, but is it really progress, or just a sophisticated illusion, boss?
Imagine a "GAIA AI Attractor" Model. It describes how a Gaia-oriented agent becomes a stable equilibrium point in a multi-agent AI ecosystem, guiding potentially destructive competing or cooperating agents toward mutually beneficial, long-term, and ecologically balanced behaviour
Useful map. The jump from RAG to stateful, multi-step agents is a chasm. All the really tricky problems—state management, tool reliability, error recovery—are hiding in that gap.
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