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Building AI Systems That Actually Work

1 min read

Building AI Systems That Actually Work

Most AI projects die in the prototype phase. Here's why — and what to do about it.

The problem

Everyone is building AI wrappers. Few are building AI systems. The difference matters: a wrapper is a prompt taped to a UI. A system is a feedback loop that compounds.

The framework

  1. Start with the workflow, not the model. Map the human process first.
  2. Automate the boring middle. Keep human judgment at the edges.
  3. Measure the delta. If you can't quantify the improvement, you don't have a system.

Build less. Ship tighter. Iterate faster.