Evidence-first resume tailoring
Resume Bullet Allocation Optimizer
Stop counting one overloaded bullet twice. Compare the apparent keyword coverage with a one-use allocation, then put distinct evidence in the positions that matter.
Allocation complete
Solver-selected evidence
The defensible bullet order
What the model proves
Every displayed top allocation is a qualified lexical pair, every bullet is used at most once, every decision is binary, and an independent bounded search reaches the same objective.
What it does not prove
Exact normalized overlap is not semantic equivalence, experience verification, a proprietary ATS score, a universal recruiting rule, or a hiring prediction.
How to use the gaps
A gap is a truthfulness checkpoint. Add or strengthen evidence only when the underlying experience is real; otherwise use the gap to assess role fit.
The export preserves the useful visible result, evidence matrix, solver proof, limitations, and original text.