Courses and Consulting Are Over – Here's How Experts Monetize Now

01 /The Concept

Generic AI coding tools fail at marketplace builds – the business logic alone, covering payments, commissions, dispute resolution, and booking calendars, consistently breaks them. Prometora's answer is to specialize: its entire AI codebase exists for one task and one task only.

The interface works the way most AI builders do. You describe what your marketplace should sell – "a platform connecting local artisans with buyers," "a freelance marketplace for creative projects," "an online course marketplace for domain experts" – and Prometora generates the corresponding code.

The founder's case for specialization is straightforward: even a basic marketplace is a surprisingly complex software product. You need listing creation, search and filters, buyer-seller messaging, payment processing and commission logic, reviews, dispute resolution, service availability calendars for bookings, and more. Each of those pieces has to work together, and the underlying business logic – especially for service-based marketplaces – gets complicated fast.

People without marketplace-building experience routinely struggle to get general-purpose AI coding tools to handle all of this correctly. Prometora's answer is a built-in catalog of pre-built "system sections" – modular building blocks like seller dashboards, payment flows with configurable commission rules, and listing management tools. These aren't generated from scratch each time; they're selected and customized through a visual interface.

Marketplaces also require teams, not just individual operators. Prometora reflects that: you can invite collaborators with different permission levels, from view-and-comment to full edit access.

Standard pricing runs $39–$159/month depending on how many marketplaces you're building and how much AI generation you need. There's also a $1,999/month tier where the Prometora team builds the marketplace for you – using the same platform, naturally.

Prometora just launched publicly on Product Hunt.

02 /Why It Matters

The picture that has emerged from the initial AI builder wave is more nuanced than the hype suggested. Every category of task has its own specificity: building a journaling app is relatively simple, building a marketplace is not. Generic platforms don't carry the domain knowledge marketplaces require; specialized tools do. Prometora is a clean example of this next generation.

Beyond the initial prototype, users inevitably hit walls they can't get past alone. Woz ([related review](/review/sjuda-nuzhno-dobavit-cheloveka)) – which graduated Y Combinator as a "professional grade" general builder – eventually narrowed to mobile apps only and added human developers to review AI-generated code when the platform hit its limits. The pivot worked: $6M raised in October.

There's also the brief problem: inexperienced users often struggle to formulate the right request in the first place. That gap created an opening for "AI agencies" – outfits that handle both the brief and the execution, consulting throughout while using AI internally.

Semiotic ([related review](/review/samaja-prostaja-iz-svoevremennyh-modelej-dlja-startapa)), currently in Y Combinator, runs an AI design agency on this model. Absurd ([related review](/review/bystro-nedorogo-ohu-nno)), also in the same YC batch, built an AI video ad agency – the client interacts with humans; the humans use AI to produce the work. Valid ([related review](/review/prodajot-ne-nachinka-a-upakovka)) raised $5.5M on a similar model for ad campaigns.

These agencies are making real money – even though every category they serve already has multiple AI platforms covering it. In many cases, delegating to a human-fronted service simply works better than wrestling with a platform directly.

It's worth noting that Prometora itself already offers a managed-service tier – almost certainly because the founders observed demand for it, not just because it seemed like a good idea.

03 /Opportunities

Specialized AI platforms like Prometora are part of the same trend as AI agencies. Both are essentially packaged expertise – the accumulated knowledge of someone who has done the thing many times, now made accessible to people doing it for the first time.

Prometora's founder built four marketplaces himself and runs a YouTube channel about building and operating them. He saw that even with AI coding tools available, inexperienced builders kept running into the same problems. So he encoded his expertise into a platform – and for clients who need even more than that, he offers to take the whole project on himself.

Station ([related review](/review/ne-razdavaj-svoj-ii-produkt-besplatno-luchshe-sdelaj-vot-tak)), which launched on Product Hunt in late September, used the same two-tier model for podcast monetization: an AI platform for those who want to do it themselves, plus a managed service where Station's team handles advertiser outreach on the creator's behalf – using the same platform internally.

The broader pattern taking shape: specialized AI platforms and AI agencies that make it easier to solve specific problems that generic tools handle poorly. The platform encodes domain expertise. The agency wraps it in a human interface. Often both live in the same product.

The real question is domain selection. The clearest entry angle is the one where your existing expertise already makes you better than any generalist tool – and where you can wrap that knowledge in either a focused platform or a managed service built on it.