For AI-first teams
More work needs review.
The same people are reviewing it.
And the review is harder, because nobody wrote the work by hand.
01 · The gap
The AI can be working perfectly while the review process is failing.
- 01AI output is measured.
- 02Human review is assumed.
- 03Accountability stays human either way.
02 · Discovery
Built on research, not assumption.
60
Discovery interviews completed
136
Survey responses completed
25
Design Partners
Discovery data · 2026 · FreQNC is pre-MVP. These numbers reflect research depth, not customer results.
03 · Who this is for
For the leaders accountable for what ships.
04 · The product
Four inputs. One number.
How much AI-generated work arrives, how much of it needs a qualified human to check it, how much checking capacity actually exists, and whether the people checking are the right people. Scored 0-100.
FreQNC measures the work, not the people.
05 · Founder
More work now arrives needing review. I became interested in what happens when the people accountable for it no longer have the time or context to check it properly.
06 · Design partners
Land with one team. Help build what comes next.
Design partners will shape how FreQNC traces who checked what, and when. This work will inform the Human Oversight Capacity Index.
FreQNC is pre-MVP. Nothing here is a live product claim.