An economy
that finds you.
You make things. You want things. Somewhere in the world, there's a match. Humesh imagines a future where a personal digital assistant recognizes the opportunity, checks the terms, and brings you a ready-to-accept offer—without another marketplace to manage.
What if finding the right person
was effortless?
Imagine 1,000 people. Each has something they enjoy making and things they might want to buy. We let their imaginary digital assistants look for useful exchanges, then compared the results with ordinary limited browsing.
We give each imaginary person a hobby, things they can offer, money to spend, and changing wants.
Like shopping with only five random choices, versus a digital helper that looks through every relevant offer.
Over four pretend days, count successful purchases and earnings under the same starting conditions.
What's a “personal agent”? It's simply a digital assistant acting for someone. It might notice what you make, understand what you want, and bring you an offer. In this demo, those assistants are simulated rules—not real AI assistants.
This is a computer-generated thought experiment, not a trial with real people. The same made-up requests go through two different discovery methods. In one, a person sees only five choices; in the other, a digital helper can inspect all relevant choices. The helper has a built-in advantage, so the results demonstrate what better visibility could change—not what will happen in the real economy. Prices, buying decisions, and successful deliveries are all assumptions. No new money is created by the simulation.
Make what you love.
Let the connection happen.
No listings to maintain, no hunt for buyers. With your permission, your digital assistant learns what you like creating and what you might need. It works with other people’s assistants behind the scenes.
Supply already exists.
Your assistant notices the small wooden planters you make on weekends, from photos and information you choose to share. It learns which sizes and materials you can offer and what price would make it worthwhile.
Demand changes daily.
Another person’s assistant notices they are looking for a handmade desk planter. The two assistants compare dimensions, wood type, price, and shipping. If there is a near match, they may suggest a modification without committing either person.
Value changes hands.
Your assistant presents a clear offer, or acts only within the spending and selling limits you have explicitly approved. Licensed payment providers handle real settlement; trust grows from verified outcomes.
Handmade oak desk planters, about 8 inches long. A minimum price, local inventory, finish options, and shipping details.
Only approved signals disclosedA housewarming gift, under $50 total. Natural wood, compact enough for a windowsill, delivered next week.
Need expires automaticallyOpen intent.
Independent agents.
Meet MIE/0.1, the proposed Mutual Intent Exchange format—a shared way for digital assistants to describe what someone can make, what another person needs, and the terms of a possible exchange. It complements existing A2A and commerce standards instead of replacing them.
The assistants talk; people stay in control.
Each person’s assistant keeps private details private. It shares only what is needed to find a match, then checks price, permissions, approvals, delivery and payment. You can change or revoke that permission.
The draft and schemas are experimental. No independent agents, commerce protocols, or payment providers are integrated into this demo.
{ "mie_version": "0.1", "kind": "intent", "visibility": "broker-only", "subject": { "category": "craft", "description": "Small wooden planter", "modality": "physical-product" }, "economics": { "currency": "USD", "budget_minor": 5000 } }