Build a Storefront Platform Where Builders Sell Custom AI Agents

1. 1

   Start as a curated catalog, not an open bazaar

   Ten excellent agents you have personally tested beat a hundred unvetted listings, because your only asset is buyer trust. Publish your review standards; rejection with reasons builds seller respect.

2. 2

   Solve hosting and metering for sellers

   Builders hate ops. If the platform runs the agent, meters usage, handles keys and billing, and gives the buyer one dashboard, you have a reason to exist beyond a directory. This infrastructure is the product.

3. 3

   Sell outcomes in plain language

   Listings must read like job descriptions ('answers your missed calls and books appointments'), with transparent pricing and a trial. Small business buyers do not read framework names, and listings that require technical literacy will not convert.

4. 4

   Design the trust machinery early

   Refund policy, uptime expectations, a security review checklist for what data agents touch, and honest failure disclosure. One agent quietly mishandling a buyer's customer data can end the platform, so data-scope review is not optional.

5. 5

   Own one vertical's demand channel

   Content and community for one buyer type (the law office manager, the restaurant operator) generates the buyer side cheaply. Marketplaces die from splitting attention across audiences before either side is liquid.

6. 6

   Split revenue to keep the best sellers

   A platform share around the industry's app-store norms, paid out reliably, plus featured placement earned by ratings. Your best builders are your moat; treat their economics as a first-class product decision.

Do not take our word for the money. Put your own numbers in and see what this idea has to earn before it works. Free, instant, no account needed.