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A working standard for judging a team's AI usage the way an investor judges any risk-return tradeoff — where the real bottleneck sits once generation is no longer the constraint.
3 parts in this series
Part 1 of 3
AI is an amplifier — it multiplies whatever judgment is already there. Here is how a non-technical founder measures their own AI judgment, and their agents', without reading a line of code.
Part 2 of 3
Everyone reports how fast AI made their team. Almost nobody subtracts what it could lose them. A two-axis framework — Risk and Return — for judging your team's AI honestly, from an investor who runs a company on it.
Part 3 of 3
AI collapsed the cost of producing work toward zero. It did nothing to the cost of checking that work. So the bottleneck moved — from writing to reviewing — and leverage now belongs to whoever can verify fastest, not generate fastest.
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