Expertise AI

Pay-per-run is interesting because revenue and COGS finally share the same unit. I’d put gross profit per skill run right next to usage — otherwise the most popular skill could quietly become the least profitable one.

The strongest part for me is repeatability. Getting a good AI result once is easy; getting the whole team to reproduce it is much harder.

A lot of the sharpest GTM operators have no interest in filming a course, and you found them a way in through the work itself. Really glad to see this one out today.

I joined Expertise because the best AI shouldn’t come from better prompts. It should come from better people. Excited to help build a world where experts can turn what they know into skills they own, protect, and get paid for.

Interesting product

I'm one of the engineers at Expertise. The thing that still feels a little like magic to me: the same expert skill installed by two different companies produces genuinely different, correct output for each , because at install it learns your ICP, your stack, and your pipeline, not a generic template. The expert writes the judgment once; the execution is yours. Demoing one impressive run is easy. Making one playbook adapt to a thousand different businesses without the expert doing setup calls is the actual product.

Really excited to see this launch come to life! So much knowledge lives in people’s heads, gets buried in docs, or disappears after a one-off call. Expertise helps turn that hard-earned judgment into something teams can actually use, while keeping it protected and owned by the people who created it.Proud to be part of the team behind this.

I work on the engineering side of Expertise, and the part I’m proudest of is the boundary we’ve built between the expert, their playbook, and the customer’s data. A protected skill can run against a team’s CRM, inbox, and other tools without exposing the underlying instructions to the buyer, or exposing the buyer’s data to the expert.Making an agent produce an answer is the easy demo. Making it useful while preserving ownership, permissions, and approval boundaries is the actual product.

Marketing at Expertise here. I spent the last few months sitting on calls with GTM experts, and almost every call had the same moment. They'd light up describing a playbook they'd refined over years, then catch themselves with some version of "but I can't just hand that out." These are people who teach for a living, and even they had a drawer of stuff they'd never share because sharing meant losing it.For most of them, the thing that sold it wasn't the monetization pitch, it was seeing the lock on their own skill for the first time. If you're browsing the launch, open a couple of the expert storefronts, that's where the whole idea clicks.

GTM experts who've run workflows manually every day are giving that away those skills as free MD files sitting in someone's downloads folder, never opened. The moment something's free, its perceived value drops to zero.So we went the other way. The IP can't be copied or owned, only run. Expert gets paid. Buyer actually uses it.

What stands out to me is that Expertise AI isn’t just another agent builder—it gives experts a way to turn the judgment behind their work into something executable, protected, and monetizable. That feels much more valuable than simply selling another course or static playbook.I’m curious how you prevent a protected skill from being reverse-engineered through repeated runs or carefully designed inputs. If that layer works well, this could become a genuinely interesting marketplace for professional expertise. Congrats on the launch!

The CRM plus email combination makes the stalled-deal example feel practical rather than like a generic agent demo.

Congrats on the launch. The concept feels early, in a good way, there’s clearly going to be a market for reusable expert workflows, but nobody quite owns the category yet.

A storefront for GTM expertise makes a lot of sense. Following 👀

Interesting! Might have some interestings playbooks on there! Will give it a try!