Modelcard
The documentation the audit will ask for
Problem
The AI Act expects technical documentation for systems that qualify as high-risk: what it does, what data, what limits, what oversight. A small team has none of that written down, and the first time they write it will be under time pressure with a deadline and a lawyer watching.
Why now
Small companies got a simplified documentation pathway rather than an exemption, which means the obligation still lands, just in a lighter form. Simplified paperwork is still paperwork nobody has started.
Solution
Answer structured questions about your system once. It maintains the documentation as a living artefact, tracks what changed when you change the system, and exports the pack in the expected shape. The point is that it stays current rather than being written once and rotting.
Who it is for
An engineering lead at a small company with an AI feature and no compliance function. The documentation expected of a high-risk system, what it does, what data, what limits, what oversight, does not exist anywhere in writing. The first attempt at writing it will happen under deadline pressure with a lawyer watching, which is the worst possible time.
What you could earn from Modelcard
Say you build Modelcard and charge your own customers $39 a month, the price the score suggests. The numbers below are the revenue that would come from them. This is money you earn, never a fee you pay UpgradIQ, and we never take a cut. It is arithmetic off the price, not a promise the customers arrive on their own.
See what Modelcard produces
Answer structured questions about your system once. It maintains the documentation as a living artefact, tracks what changed when you change the system, and exports the pack in the expected shape. The point is that it stays current rather than rotting.
Your build kit for Modelcard
Start the build and the kit opens two steps in, then drip-feeds the rest one phase at a time. Every phase is a copy-paste prompt for your agent with its own verification before the next unlocks, so Modelcard moves from an empty folder to a running MVP without you ever holding the whole plan in your head.
Progress saves across every device, and the workspace always reopens on the exact step you left, so a build that runs over several weeks survives them instead of dying in a browser tab you eventually close.
How you actually build it
Connect your coding agent once. It pulls the current phase straight from your kit over MCP: the exact prompt, the outcome to aim for, and the check to run before it moves on. You review and ship, it does the typing.
No copy-paste juggling, no thread to lose. The kit stays the single source of truth, and your agent works through it one phase at a time, verifying its own work at each step before the next phase is unlocked.
Take the context file, free
This is the AGENTS.md that keeps your coding agent on scope for the entire build: what Modelcard is, who it is for, the stack, the non-goals, and the rules it must follow. Copy it into your project now, no account needed, and your agent is briefed before you write a line.
# Modelcard The documentation the audit will ask for ## What this is Answer structured questions about your system once. It maintains the documentation as a living artefact, tracks what changed when you change the system, and exports the pack in the expected shape. The point is that it stays current rather than being written once and rotting. ## The problem it solves The AI Act expects technical documentation for systems that qualify as high-risk: what it does, what data, what limits, what oversight. A small team has none of that written down, and the first time they write it will be under time pressure with a deadline and a lawyer watching. ## Who it is for An engineering lead at a small company with an AI feature and no compliance function. The documentation expected of a high-risk system, what it does, what data, what limits, what oversight, does not exist anywhere in writing. The first attempt at writing it will happen under deadline pressure with a lawyer watching, which is the worst possible time. ## Stack Next.js + Postgres ## Non-goals Do not build features outside the core job above. This product exists to do one thing well. Every extra feature is a reason it does not ship. ## Rules for the agent - Build one phase at a time. Do not run ahead into later phases. - Validate input at every boundary where data enters. - Never put a permission or plan check in client code. - Ask before adding a dependency that a few lines would cover. - If something is ambiguous, say so rather than inventing a requirement. --- Context file from UpgradIQ · idea modelcard · prompts kit-v4
Then start free to get the ten-phase kit and run the first prompt.
The path to a running MVP
Foundation
Scaffold the stack, then wire the data model and sign-in. It is the skeleton Modelcard stands on, and it goes up in an evening rather than a lost week of config.
The product
Build the core feature end to end, then wire how it charges. This is where Modelcard finally turns into something that a stranger will actually pay you for.
Ship it
Test and harden, deploy it live, then open the launch-day toolkit that lands the first ten users who prove it.
Is Modelcard for you?
- You want revenue reasonably soon, not a science project
- You can give it evenings and a couple of weekends
- You can reach Small teams shipping AI features
- You are not ready to talk to a first real customer
- You want it fully passive, with zero maintenance
- You expect it to find its own customers without you
The 3 sections that decide whether you should actually build it, plus the full kit, are one click away.
3 more sections decide whether you build Modelcard
You have the case and the plan. Pro opens how it makes money, the one risk that kills it, and the build notes, plus the 10-phase kit that takes Modelcard to a running MVP, on this idea and all 200.
How it makes money
Main risk
Build notes
What is free here, and what Pro unlocks
Frequently asked
Is Modelcard actually validated?
It scored UIQ 77 with a GO verdict, weighed across eight sub-scores on the same rubric as every idea. GO means 75 and above, so demand and buildability were judged, not guessed.
What stack does it use?
Modelcard is built on Next.js + Postgres, chosen because a coding agent can carry most of it. You are not fighting infrastructure, you are shipping the feature that matters.
How long to a running MVP?
The kit is ten phases, drip-fed one at a time so you always know the single next step. An evening and a weekend for the lighter builds, a few focused weeks for the deeper ones.
What does the $39 a month mean?
It is the price the model suggests Modelcard could charge its own customers, not a fee to us. It is here so the money question is answered before you build, not after.
Which agent do I need?
Any capable coding agent: Claude Code, Cursor, Lovable, or Bolt. Every phase is a copy-paste prompt with its own check, so the agent does the typing and you keep the judgement.
What is free versus Pro?
The whole case above is free: the problem, timing, solution, buyer, and the full score. Pro adds how it makes money, the one risk that could kill it, and the full kit that carries Modelcard from an empty folder to a running MVP.
More like Modelcard
All 14 AI governance ideasBuild Modelcard, not just read about it
You have the problem, the timing, the solution and the buyer. A plan opens how it makes money, the risk that kills it, and the kit that takes it to a running MVP.
Start building Modelcard