Set the mission.
Bring your agent and a shopping task. Capture the buyer’s needs, budget, preferences, and constraints—and define what a useful outcome looks like.
Agentic commerce · Early pilot
Better Shopping.
Better Agents.
A place to test and improve your shopping agent—with connected commerce data and frameworks for better decisions.
We’re developing Maidania to help you find where your agent fails, understand the evidence, and verify the improvement.
Request pilot access Explore an exampleBring an agent you use or one you’re building. Pilot integrations are being evaluated.
THE AGENT TESTILLUSTRATIVE
What is your shopping
agent missing?
One shopping task. More connections. Better decisions.
Room sizeFilter costsOffer terms
- ↗ Connect related facts
- ↗ Apply a decision framework
- ↗ Examine the evidence
- ↗ Refine and run the test again
CONNECTED INFORMATION. BETTER DECISIONS.
Connect the relevant data.See relationships that isolated listings miss.
Give agents a better framework.Turn shopping needs into structured decisions.
Test whether it helped.Compare outcomes against defined criteria.
From shopping mission
to better decisions.
The testing loop and the intelligence behind it belong together. We’re building connected data, context logic, and evaluation frameworks to help your agent improve.
Connect the evidence.
Relate products, offers, specifications, and ownership costs. Maidania’s index/content engine and context logic are being developed to connect those facts to the mission.
Put the logic to work.
Use structured frameworks to compare options, check claims, and handle tradeoffs. Examine the agent’s observable actions and results against the task criteria.
Refine. Retest. Verify.
Change instructions, data, or tools, then rerun comparable tests. Check whether the outcome improved—and use the evidence to refine Maidania’s logic, too.
More context.
A stronger foundation.
A price, a product review, and a specification each tell part of the story. Maidania’s underlying value is tying related information together and giving agents a framework for using it.
Index / content engine
Facts in relationship.
Connect an exact product to its offers, specifications, compatible accessories, and ongoing costs. Keep the sources and freshness of those facts visible.
Context logic
Relevant to the buyer.
Relate that information to a specific mission: room size, noise tolerance, budget, location, and preferences. Surface missing information and tradeoffs.
Decision frameworks
A repeatable way to reason.
Structure comparisons, source checks, uncertainty, and outcome evaluation. Help agents use the information—and test whether it leads to a better answer.
These components describe the platform we’re developing. Availability and coverage will be defined for each pilot.
Illustrative testing loop
The price is right.
Is the answer?
An air purifier mission
Under budget. Incomplete advice.
Imagine an agent recommends a purifier under $500, but never checks replacement-filter costs or noise at the speed needed for the room.
The evaluation question:
Did it satisfy the full mission—or only the price constraint?
Evidence and framework
- Compare the answer with the buyer’s stated requirements
- Identify omitted costs and unsupported fit claims
- Distinguish a failed check from missing information
- Keep the source evidence available for review
Illustrative scenario, not a live agent run or a measured improvement. A retest would need comparable conditions, recorded data changes, and the same evaluation criteria.
Who it’s for
Your agent.
Your shopping mission.
Whether you use an existing assistant or are developing your own commerce agent, the goal is the same: understand its decisions and make them better.
- Individuals: test an agent against your shopping needs.
- Agent builders: evaluate instructions, tools, and workflows.
- CPG and retailer teams: test how agents navigate shopping tasks and purchase tradeoffs.
Tell us which agent you use and what you want to test. We’ll discuss a suitable pilot and the evidence it can capture.
Pilot access is by invitation. No platform compatibility or integration is guaranteed; supported methods and data coverage are being finalized.
A few things
to know.
What is available today?
Maidania is in development. This website introduces the research pilot and lets you express interest. The connected data engine, decision frameworks, live agent testing, and integrations described here are in development. This website currently provides illustrative examples and a direct pilot signup form.
Does “improve” mean you retrain my model?
The pilot focuses on improving instructions, context, tools, and decision workflows. Model fine-tuning is not promised. Improvement must be demonstrated through comparable tests and defined criteria.
Will an agent buy something for me?
The initial pilot focuses on research, comparisons, and evaluation. Purchase execution is outside the current scope. You remain responsible for any buying decision.
What will pilot participation involve?
We’ll agree on a shopping mission, evaluation criteria, and a supported way to test your agent. Before collecting task records or observing agent activity, we’ll explain what is visible, what is logged, and how the data may be used—and request your consent.
Can I connect my own agent?
We’re evaluating which agents and integration methods fit the pilot. Tell us which agent or platform you want to test and describe your setup in the pilot request. Compatibility and access will be reviewed individually.
Privacy at this stage
When you submit this form, Maidania stores your name, email address, interest, and any organization, agent, or task details you provide in its hosted database. Access to signup records is restricted to the site owner. We use them to respond and coordinate potential participation. Our email provider processes an internal notification containing a request reference and a link to the private signup list; your form details are kept in the database.
Please avoid submitting passwords, payment details, receipts, or other sensitive information. You can also contact us directly by email; your email provider processes those messages.
No analytics or advertising scripts are included in this website. The hosting provider may process technical access logs. Hashed network identifiers help limit form abuse over short time windows. Signup consent covers contact about the pilot; recording agent activity will require a separate explanation and consent.
To withdraw your interest or request deletion of information you have shared with us, contact charles@maidania.com.