
The problem
Hannah was overwhelmed by opportunity evaluation. She had information, reflection, and self-awareness, but each decision still felt heavy.
The challenge was not that she lacked judgment. It was that she needed a clear, repeatable way to apply her judgment when multiple paths looked possible.
"I realized human-in-the-loop wasn't enough. I wanted human in every step of the way."
What Hannah built
Hannah used Claude Cowork to build a decision workflow for evaluating career opportunities against her own criteria: prior experience, future direction, strengths, non-negotiables, and the realities of her current season of life.
For each opportunity, the workflow returns a fit score with supporting reasons, highlights the gaps she may need to address, identifies the assets she can bring to the table, and gives advice on how to position herself.
Before and after
Before: too much information, extensive reflection, and analysis paralysis without a consistent decision structure.
After: Hannah evaluated three real opportunities in hours. One role scored 8.6, another scored 7.6, and another scored 6.4, helping her move quickly on the strongest fit.
Why it matters
Hannah’s build shows that AI can support personal agency when the human stays inside the loop at every step. Claude did not decide for her. It helped her see her own criteria more clearly.
For Claudettes facing big transitions, this is the magic: AI can turn scattered thinking into a decision system that still feels deeply yours.
Watch Hannah's walkthrough
Spotlight on Hannah Nguyen. Build originally published by AI Native Circle.
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