For AI workflows, the listing is part of the product
AgentMart is an early small for reusable AI assets, such as , , , and knowledge packs. Listing is currently free while the idea is being tested, and the has almost 60 users. The hard part is not finding things to sell, because many builders already have internal prompts or that save time.
The hard part is making those assets clear enough that a stranger would install them or pay for them. A useful listing needs to state the exact tool, model, and version it depends on, plus the inputs and outputs with one real example. It should also explain what or data access it needs, where it can fail, when not to use it, and how to set it up or remove it.
Proof matters too, such as evals, screenshots, before-and-after output, or a short demo. Without that, buyers see the asset as a random tip from a discussion thread, not as a small product.
Key points
- AgentMart is testing a for reusable AI assets like , , , and knowledge packs.
- The has almost 60 users, and early feedback says supply is not the main problem.
- A strong listing should name the exact tool, model, version, inputs, outputs, and one real example.
- Buyers need to know required , data access, failure cases, setup steps, and removal steps.
- Proof such as evals, screenshots, before-and-after output, or a short demo helps turn a workflow into a product.