MAMehul
Arora

Case study / 03

AI agent marketplace

Venture exploration

AERA

RoleMarketplace concept · product architecture · experience design

StageVenture exploration

Position03 of 03

The premise

Good agents should be easy to find, simple to trust, and measurable once they start doing work.

01 / The product

What it is,
without the pitch fog.

A marketplace experience around plug-and-play agents, billing, usage tracking, analytics, and administration.

02 / Product decisions

The choices that
shape the system.

  1. 01

    Treat trust, permissions, and usage visibility as product surfaces.

  2. 02

    Show an agent through the work it completes, not through abstract capability claims.

  3. 03

    Design discovery, activation, billing, and measurement as one connected loop.

03 / Honest evidence

Where the work
actually stands.

Current outcome

A coherent marketplace model for discovering and operating agents, with the trust and measurement layers needed for real adoption.

What the build clarified

Agent discovery is only half the product; permissions, usage, and proof of completed work are the trust layer.

Next experiment

Pressure-test the marketplace model around one narrow agent category before expanding the system.