Agent readiness tryout
Can an AI agent use your product?
Agents are becoming customers.
They don't shop by clicking through dashboards.
They connect in code, do the job, and pay the bill.
If yours has no way in, the agent stalls out.
And stalls don't come with feedback.
What a tryout looks like
▲ agent-ready tryout yourproduct.com
task 1 of 5. Find out what it does and what it costs
task 2 of 5. Sign up and get access
task 3 of 5. Do the main job it exists for
task 4 of 5. Get the result out in a usable form
task 5 of 5. Pay, or set up billing
✓ report sent. Every snag quoted word for word
The shift
Your next customer might not be a person.
More buying starts inside an agent.
A human asks for a tool.
The agent goes and finds one it can run.
If it can't run yours, it can't pick yours.
There's no rejection note for that.
You might never know it happened.
The tryout
Five tasks. One honest report.
Our agent tries your product the way a new customer would.
Public interfaces only.
Each task ends one of three ways.
Got it done. Got stuck. Impossible today.
Every snag is quoted word for word, with the exact step where it happened.
Find out what the product does and what it costs.
Sign up and get access, without a step only a human can pass.
Do the main job the product exists for.
Get the result out in a form a machine can use.
Pay, upgrade, or set up billing.
The grades, the proof, and what we would build to fix it.
The checklist
Twelve things. Plain words.
Each one gets a pass, a partial, or a fail.
The evidence sits right next to the mark.
Three quick translations, so nothing below needs a dictionary.
An API is how one program uses another, no screen involved.
A command line is typing short commands instead of clicking.
MCP is the standard plug agents use to connect to a product.
An agent can learn what your product does without opening a dashboard.
Your docs read in one pass, with examples that run as written.
A command line tool or API does the core jobs.
An MCP plug exists, or your setup is close enough that adding one is a small build.
Sign up doesn't need a step only a human can pass.
Errors come back in words a machine can act on.
Prices and limits sit in plain text on a public page.
Setup guides are written for agents, one per platform.
Your product is listed in the MCP registries and agent directories, where builders search.
An agent can pay, or there's a billing path that isn't human only.
Answers come back in a form a machine can use directly, not just screens.
A safe test mode lets an agent try without real money or real data.
How it works
Three steps. Nothing changes without your say so.
Send us your product
A link is enough.
No password. No demo call.
An agent tries it for real
The tryout is done by an AI agent.
That's the whole point of the test.
You get the report
Five tasks. Twelve marks.
The proof beside each one, in plain English.
If you want us to build the fixes, that part is paid.
Think typed commands instead of clicks, an MCP plug, and guides agents can follow.
The tryout is free.
Honest FAQ
Straight answers, even the annoying ones.
Can you promise agents will buy my product?
No.
Nobody knows that yet.
We can show you if an agent can get through your door today.
That part can be fixed.
Do you need my password?
No.
The tryout only uses the doors your product already shows the public.
Got test keys, the practice kind? Those help.
Your real logins stay yours.
Why should I care this early?
Fair question.
An agent can't pick a product it can't run.
Fixing a snag early is a small job.
Fixing it after a rival got there first is a catch up game.
Free tryout
Find out if an agent can use it.
Send your product link.
Get the tryout report back in plain English.
Get a free tryout