Teardowns
Public AI products diagnosed with Stuck-to-Scale — the stage they are actually in, the foundation they are missing, and what we would cut first. Nobody pays us for these.
The read, run in the open.
A teardown is the same diagnosis we charge for, applied to a product we have no relationship with. It is the cheapest way to show what the judgement actually looks like before anyone buys it.
We pick products that are genuinely interesting rather than easy targets, and we say what is working before we say what is not.
Four questions, every time.
How we keep them honest.
Three reads.



Run it on yourself first.
The point of publishing the method is that a team can apply it without hiring anyone. Take the four questions to your own product and answer them in writing — most teams find the disagreement inside the room before they find it in the market.
If the answers do not converge, that is the signal the Venture Audit is built for.
You can, and we will consider it — but a requested teardown is published on the same terms as any other, including the parts you would rather we left out.
No. A teardown reads public evidence, and pre-clearing it would turn it into a marketing collaboration.
Send the argument. Right of reply is published alongside the original, and we have revised more than one conclusion that way.

Our process, given away.
Written in public, revised in public — including when wrong.
Read the Journal