RoleSage
See the person in an avalanche of AI-polished applications
What it does
AI-polished applications make genuine capability harder than ever for hiring teams to identify - and for strong candidates to make visible. RoleSage gives candidates editable, evidence-backed profiles linked to real activities, skills, and outcomes. Smaller hiring teams inspect explainable match bands, supporting evidence, gaps, and interview questions inside a light ATS. AI helps organise context; people remain responsible for the decision.
RoleSage is relationship-first hiring software. Candidates show real evidence of their work; hirers get trusted signal without the application avalanche.
Both sides are losing the same game Auto-apply floods on one side. Keyword walls on the other. Good people invisible, good roles unfilled. More automation on each side makes the relationship worse, not better. RoleSage rebuilds the middle of hiring: a skills graph grounded in real work, with LinkedIn verification and optional independent professional relationship support as separate trust signals. AI parses the document into roles, activities, and outcomes. Candidates review and enrich it before anyone else relies on it. Every skill claim links to the activity where it was demonstrated. A graph, not a keyword list. Ask about a candidate's experience and get answers grounded in their actual…from rolesage.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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