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Engineering signals
  • Workflow fitWhere automation earns its keep, and where a rule beats a model.
  • Data realityWhether the data exists, is clean, and is allowed to be used at all.
  • Failure evaluationQuality against real tasks, not benchmarks, before anything ships.
  • System integrationOutputs wired into systems that change decisions, not dashboards.
  • Human fallbackA person in the loop where errors are costly or irreversible.
Common assumption

A working model is not a working system

The real cost is what breaks after the demo

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AI & Automation