Deep dives on AI execution, agentic systems, and the human-AI collaboration layer that makes production AI actually work.
AI systems are extraordinarily good at reasoning — and remarkably helpless at doing. The gap between generating a plan and executing it in the real world is where most enterprise AI projects quietly fail. An execution layer is the missing piece.
read article →RPA promised to automate repetitive work. It delivered — but only for the perfectly predictable 20% of tasks. Agentic AI handles the other 80%: the exceptions, the edge cases, the tasks that require understanding context rather than following rules.
read article →Demo videos show AI agents completing complex tasks flawlessly. Production deployments fail constantly. The gap isn't the model — it's the execution layer. Here's what actually breaks when AI agents are deployed outside controlled environments.
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