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Expertise is a platform to build, run, share, and own AI skills. Experts publish their playbooks as protected, monetizable skills on a page of their own. Businesses install them in one click or build their own, spreading how their best people use AI across every seat in the company.
This is the 3rd launch from Expertise AI. View more
Expertise AI
Launched this week
Expertise AI is where GTM experts monetize their playbooks as protected Al skills. Each expert gets a storefront where businesses demo and install these skills on a subscription, and gets paid every time one runs.
Free
Launch Team / Built With
DROP
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.
Expertise AI
@zhangchen Really sharp point. Usage alone can be misleading if the cost of running each skill is different. Gross profit per run is the right lens, and it’s something we’re thinking about as we build out analytics for experts. Thanks for calling it out.
Acti
Giving experts a way to publish their playbooks as protected, monetizable skills could open up a very different kind of creator economy.
Expertise AI
@axelkane That’s what we’re betting on. Experts spend years developing their judgment, but until now the main options were courses, consulting, or giving the playbook away. Skills create a new way to share that value while keeping ownership.
Expertise AI
@axelkaneWe think so too. There are so many experts with valuable processes sitting in docs, calls, or their heads. Giving them a way to package that knowledge, protect it, and earn from it could create a whole new type of expert business.
Chatsimple
@axelkane Absolutely. So far, the GTM experts have been creating all these skills they have learned from years of trial and error and giving them away for free. As you know, people who get things for free don't value them. We are just changing the game.
Expertise AI
@axelkane The creator economy so far has rewarded people who are good on camera, and a lot of the sharpest GTM operators aren't creators at all, they have zero interest in posting daily or filming a course. Skills give them a way in with the work itself instead of content about the work. That's the shift I'm most curious to watch.
This makes AI adoption feel less like everyone experimenting alone and more like a team actually building shared operating knowledge.
Expertise AI
@boyso That’s the idea. When someone finds a better way to use AI, the rest of the team shouldn’t have to rediscover it from scratch. Skills make that knowledge reusable across the company.
Expertise AI
@boyso AI becomes much more useful when the learning doesn’t stay with one person. We want teams to turn individual wins into shared workflows that get better over time.
Chatsimple
@boyso Absolutely. AI adoption across orgs is what we saw as a major blocker. This makes it easy for the champion in a particular company to create skills, share them, and elevate his/her peers.
Expertise AI
@boyso Inside most companies right now there's one person who's figured out something great with AI, and their distribution method is a Slack message that scrolls away by Friday. The knowledge was always shareable, it just had no shelf to live on. That's the gap we're trying to fill.
@boyso @riddhima_agarwal This is so true. I’ve seen this happen so many times in ops. Someone figures out something really useful, drops it in Slack, and then a few days later nobody can find it 😂 Having a place for those learnings to actually live makes such a difference!!
Teable
I can see this working well for weekly campaign diagnostics where the same numbers need to be interpreted through a consistent framework.
Expertise AI
@jocky Weekly campaign reviews are a really good fit. The numbers change, but the way an experienced operator interprets them should stay consistent. A skill can apply that same thinking each week and give the team a clear next step.
Chatsimple
@jocky @mi_leeli LFG
Expertise AI
@jocky That’s a strong use case. A skill can apply the same expert framework every week, spot meaningful changes, and turn the latest campaign data into consistent, actionable recommendations. 🙌
Chatsimple
@jocky There you go: imagination is what's stopping us. Anything you imagine with your laptop, internet, and tools, you can just create here and achieve with any kind of playbook.
BiRead
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!
Expertise AI
@ll_wen Thanks for such a thoughtful comment. This is one of the hardest problems we’ve focused on from the start. Protected skills run like a black box. People can use the skill and see the results, but they don’t get access to the instructions, knowledge, or workflow behind it.
We also have safeguards for prompt extraction and repeated probing. At the same time, we want to be honest that no black-box system can make inference completely impossible. Our goal is to make the expertise very difficult to copy while keeping the skill genuinely useful. This marketplace only works if experts trust us with their best work, so we take that responsibility seriously. Really appreciate the support!
Expertise AI
@ll_wen Thank you! This gets to one of the most important challenges we’re solving. A protected skill exposes the outcome, not the playbook behind it: the instructions, knowledge, and decision logic remain hidden when someone runs it. We also account for extraction attempts and repeated probing, while being honest that no black-box system can eliminate inference entirely. The goal is to make expert workflows useful to customers without making them easy to copy. Earning that trust from experts is foundational to the marketplace we’re building.
Chatsimple
@ll_wen @avamorgan_ Absolutely. AI adoption across orgs is what we saw as a major blocker. This makes it easy for the champion in a particular company to create skills, share them, and elevate his/her peers.
Chatsimple
@ll_wen Absolutely. AI adoption across orgs is what we saw as a major blocker. This makes it easy for the champion in a particular company to create skills, share them, and elevate his/her peers.
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.
Expertise AI
@abby_mao1 Thanks! It definitely feels like the category is still being defined. That makes it a little scary, but also a lot of fun. We’re excited to build it alongside the experts using the product early.
Expertise AI
@abby_mao1 Appreciate that. Reusable expert workflows feel inevitable to us, but the right model for owning, sharing, and paying for them is still wide open. That’s the part we’re excited to explore.
Chatsimple
@abby_mao1 More work remains. Our aim is to ensure everyone in your organization reaches the same level as its champion by making it easy to share workflows and adopt AI across the teams.
Expertise AI
@abby_mao1 Thanks Abby! Our read is that the category stays unowned until someone wins the trust of the experts themselves, because the best playbooks never got listed anywhere they could be copied. Protection first, everything else after. That's our wedge, and we'll find out if it's the right one.
PodcastorAI
I like that the product treats expertise as something operational, not just content sitting in a course or PDF.
Expertise AI
@sylvialane That distinction matters a lot to us. Knowing what to do is useful, but applying it inside the actual workflow is where the value really shows up. We want expertise to help people do the work, not just learn about it.
Expertise AI
@sylvialane Courses and PDFs can explain the thinking, but someone still has to turn it into action. A skill brings that thinking directly into the task, so the expert’s process gets used when it actually matters.
Expertise AI
@sylvialane "Operational, not content" is a great way to put it and funnily enough the experts feel that difference most. A few have told us that people who bought their course never finished it, but the same buyers run their skill every week because it does the task instead of teaching it. Usage turned out to be the compliment their content never got.