Agents can one-shot secure, production-ready applications
Generate highly-detailed product spec
Proper specs allow your AI agents to turn an idea into a production-ready application.
How your spec gets generated
Describe your requirements
Answer interview questions
Agents run a loop
Detailed spec delivered to your inbox
Takes 1-3h to generate
Agents are capable of building production-ready professional apps with high code quality - not just prototypes.
DON'T DO THIS
Start building an app with one-paragraph prompt. Agents guess the architecture and leave out important details. You get a prototype at best.
DO THIS
Hand Agents a detailed spec with architecture, database plan, every feature, and a build plan. It stops guessing and builds you production-ready product.
WHAT'S INSIDE
What does a spec look like?
Every GenerateSpecs document runs 6,000 to 12,000 lines, split into eight parts:
System architecture
The major components and why each one exists.
Database schema, fully designed
Every table, column, and relationship.
Your exact tech stack
Every framework and library named and justified.
Design patterns and style guide
Conventions and visual style detailed out.
Every feature, screen by screen
Each screen specified, every feature outlined.
Every API endpoint
Every endpoint with its inputs and outputs defined.
Security, built in from the start
Auth, privacy, and the guardrails a real product needs.
Build instructions for your AI Agent
Detailed milestones and a sequence your agent can follow when building your application.
USE THE SPEC WITH ANY HARNESS
Use it with Claude, Codex or CRHQ to build your app.
Claude, use this detailed spec to generate the full application: {insert_path_to_spec_here} Act as the orchestrator, and use subagents to efficiently manage execution. Open a progress.md file where you will keep progress on every step of the execution. Make sure progress.md reflects the correct activity log, and pending items accurately at all times. Do not deviate from the specifications provided. The specification contains milestones and implementation steps, follow them when implementing. Work until 100 percent completed.
OWN YOUR STACK
Clone any product with AI
canivibecodeit.com tracks which SaaS products actually survive an AI rebuild — "yes," "kinda," or "not really." Everything below is a "yes."
Click on any product
PUBLIC LIBRARY
Read a finished spec first.
Curated examples of what a full spec replaces — read one before you start your own.
All-in-One Online Form Builder Platform
A Tally/Fillout/Cognito Forms replacement with AI form generation, deep logic, and team collaboration.
28,494 lines
LinkHub — Bio Pages, Branded Links & Dynamic QR Codes
One workspace combining link-in-bio pages, branded short links, and dynamic QR codes with unified analytics.
28,109 lines
Testimonial & Social Proof Platform
Collect, moderate, and publish written and video testimonials as embeddable social proof, anywhere.
32,345 lines
Async Product Demo & Screen Recording Platform
Browser and desktop screen recorder with AI auto-editing that turns raw captures into polished, trackable product demos.
18,733 lines
All-in-One Privacy-First PDF Toolkit
A browser-first PDF toolkit that edits, converts, e-signs, and OCRs documents privately, with a public REST API.
18,845 lines
Flow-Style Voice Dictation App for macOS and Windows
An open source, system-wide AI dictation app that turns speech into clean, context-formatted text in any macOS or Windows app.
15,315 lines
Lightweight CRM
A focused customer relationship manager for small teams that need pipeline clarity without enterprise complexity.
10,365 lines
BUILD PRODUCTION-READY APPS WITH AI
How to build a project with AI agents in 2 stages.
Stage 1 — Build detailed specs
You describe your idea. An agent asks questions, then writes the spec — architecture, database, every feature, the API, security, the build order. Three drafts. Two independent review rounds. 60 to 90 minutes, and you watch it happen live.
Get the PRD Builder skill (open source) →Stage 2 — Run the agentic loop
Hand the spec to Project Builder. It splits the plan into jobs, builds each one, tests it with a fresh agent that didn't write the code, and reviews the result against your spec twice before calling it done. It runs for hours, not minutes, natively on CRHQ.
Project Builder loop on GitHub — publishing soon
Level up your agentic software building
PRICING
One price. No subscriptions.
You get what a team of engineers would take 4 weeks to build, for a price of a dinner.
Early buyers pay less. The price steps up every 20 specs — $29, then $49, then $69 — and stays at $69. You pay the price that is live when you generate; it only steps up, never down.
FIRST 100 — FREE
OPEN NOWFree
one spec, one time
91 of 100 left
- Posted publicly, forever
- One per GitHub account, 6 months or older
- The same spec paying customers get
TIER 1
CURRENT PRICE$29
one spec, one time
18 of 20 left
- Private — only you can see it
- Skips ahead of the free line
- Yours to use however you want
TIER 2
$49
one spec, one time
then 20 at $49
- Private — only you can see it
- Skips ahead of the free line
- Yours to use however you want
TIER 3
$69
one spec, one time
this price stays
- Private — only you can see it
- Skips ahead of the free line
- Yours to use however you want
One payment, one spec. There are no do-overs, so put real detail into your answers up front.
WHY THIS EXISTS
I build software with this loop.
I run a development agency. We build custom software for clients, and every project starts with a call, where I intake the requirements directly from them.
I take that call’s transcript and build a detailed spec from it. Then I build the product one shot, with the agentic loop.
That loop needs somewhere to run — so I built CRHQ.ai, the most complete Agent Harness for Builders. It's what actually runs the loop, hour after hour.
I’ve launched Zillapi.com and StayingAPI.com this way. I built GenerateSpecs.com this way too.

Andrej Šimunaj · Zero Point Studio · zeropointstudio.io
QUESTIONS
Questions people ask.
How long does it take?
About 60 to 90 minutes once your spec starts, plus any time waiting in line. We write 10 at a time, and paid specs go first. You'll see your place in the line and watch the writing happen live. We email you when it starts and when it's done, so you can close the tab and go do something else.
Is a spec the same thing as a PRD?
Yes. PRD stands for product requirements document, and that is the formal name for what you get. We say spec because it is the word people actually use, but if you or your developer call it a PRD, you are talking about the same file.
What do I actually get?
One file. It's a markdown document, usually 6,000 to 12,000 lines depending on how big the product is. It covers what you're building, what to build it with, the database tables, every feature in detail, the API, security, the design, and a numbered build order written for an AI agent to follow. You can read it on the site, download it, or send someone a link.
Is this really how you build software?
Yes. Our products are planned this way and built this way, and the plan this site was built from is published here for you to read. It is not a demo of the process, it is the process.
What does "an agent can build from this" actually mean?
It means the plan covers the parts that break real products: the database, the API, login, payments, errors, security, and what order to do it in. A good coding agent gets a long way on that on its own. It does not mean nobody looks at the result. We review what our agents ship, and you should too.
Why is my free spec public?
That's the trade. You get the whole thing for free. In return we post it in our public library and it stays there, with a small "Generated at GenerateSpecs.com" line at the bottom. It's how we show people the product is real. If your idea needs to stay quiet, pay for one — paid specs are private.
Can other people use my public spec?
Yes. Public specs are under a CC BY 4.0 license. Anyone can read it, build it, or sell what they build, as long as they credit GenerateSpecs.com. Paid private specs are yours alone. We don't post them, and we don't claim anything you build from them.
Can I get changes, or a refund?
No changes. One payment buys one spec, written once. There are no revision rounds. The questions at the start are where you shape it, so answer them properly. If it breaks on our end, we run it again for free. If we still can't deliver, email us and we'll make it right.
What tech will it pick?
Whatever fits your idea. If you name the tools you want, the spec uses them. If you don't, our agents pick boring, popular technology that a coding agent is least likely to get wrong. Either way, the spec names every choice and says why.
Can an AI really build from this?
That's the point of the format. Exact database tables, exact API calls, numbered steps, and a clear finish line for each one — written for an agent, not just for a person. The example on this page is the plan this site was built from, so you can see exactly what that looks like. A good coding agent gets a long way on its own. You should still check what it builds.
Why GitHub login only?
Two reasons. Most of our users already have a GitHub account. And free specs need a limit — one per account, and the account has to be at least 6 months old. It also means no passwords for us to keep safe.
What is CRHQ?
CRHQ.ai is the company behind this site, and the platform our writing agents run on. It also has an agent called Project Builder that takes a finished spec and builds the product from it. That's step 2.
Ready? Tell us your idea.
It takes a few minutes to describe what you want. About an hour later the spec is in your inbox.
91 of 100 free specs left. Free ones get posted publicly.