AI-era work intelligence,
for the person doing the work.
See what your work actually is, classified, with your trajectory month over month.
Activity metrics were always a proxy. In the AI era, they break.
Productivity looks fine until you ask what kind of work got done, and who is being automated out of a job they still appear busy in.
Three quiet steps. The classifier rules stay with the manager.
Built for the person doing the work, and for the team around them.
Two views of the same data. Different incentives. Zero leakage from the personal to the team side.
Trajectory
Your work mix over weeks and months. See whether you're drifting toward maintenance or deepening in new capability, before anyone else notices.
Automation risk
A rolling score grounded in template density, novelty, and cross-module coupling. Specific patterns flagged, not vibes, so you can act on them.
Skill shifts
Career moves rooted in what you already do well, not a generic map. If you review a lot of infra PRs, that's signal, and we tell you where to point it.
Built employee-first, with no leaderboards, classified semantically, and crediting the invisible work.
Starts with engineering. Ends nowhere near it.
Software commits are the densest, most structured signal of knowledge work, which makes engineering the right place to prove the method. The same classification layer maps cleanly onto product, design, analytics, ops, chat, meetings, and hiring loops.
Tell me what you're trying to figure out, and I will write back.
Replies come from me, not a queue. If you want to bring workdna to your team, share what your team looks like and what you would want to see first.