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AI Strategy3 min readWednesday, August 19, 2026
Agentic Workflows Aren't Magic: Here's What Actually Works
Autonomous agents make great demos and unreliable production systems if you skip the boring parts. Here is the boring part that actually makes them work.
Agentic demos are everywhere right now, and most of them fall apart the moment you try to run them in production against real, messy data. The gap is rarely the model, it is everything around it.
What separates a demo from a system
Reliable agentic workflows have narrow, well-defined tool interfaces, explicit failure handling for every tool call, and a human escalation path that is treated as a feature, not an admission of defeat.
- Narrow tool interfaces beat general-purpose ones in production
- Every tool call needs an explicit failure path, not just a happy path
- Human escalation is a feature to design well, not a fallback to hide