WL-T3

Extracts implied skills from messy inputs and maps them to standard taxonomies.

WL-T3

This agent pulls out skills from informal inputs — like job ads, CVs, or homegrown role docs. I use it when the skills aren’t explicitly written out, but clearly embedded in the tasks and expectations.

WL-T3 maps these extracted skills to O*NET, SFIA, or other taxonomies, helping me bring structure to content that would otherwise stay anecdotal or qualitative. It’s great for discovery work or when retrofitting existing data into a new framework.

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Curious about the future of work? Let’s explore it together.

I don’t have all the answers — but I’m deep in the questions. If you're thinking about jobs, skills, or AI’s impact on work, I’d love to connect.

Curious about the future of work? Let’s explore it together.