Plan before you build. Stop burning credits on vague prompts and rework.

DevReady.Ai transforms rough ideas into structured software plans with documented features, user stories, business rules, edge cases and acceptance criteria. 

Generate an MCP that gives Lovable, Replit, Bolt, v0, Cursor, Claude Code and other AI coding tools and developers the context they need to build with confidence.

Why planning matters

Why solo AI builds spiral

AI can generate quickly, but it cannot reliably fill in missing requirements. When the rules, flows and edge cases are unclear, every new prompt adds another layer of assumptions, corrections and rework.

1

AI fills in the missing decisions

A short prompt leaves important questions unanswered. AI chooses how the feature should behave, often without knowing your business rules, users or priorities.

2

Each prompt adds new assumptions

Follow-up prompts rarely carry the full context of the build. One change solves the immediate problem while quietly affecting something else.

3

The product becomes harder to trust

As fixes stack up, it becomes difficult to tell what is intentional, what is fragile and what might break after the next change.

4

Time and credits go into rework

The first output is rarely the expensive part. The cost grows through repeated corrections, rebuilt features and prompts that keep getting longer.

How It Works

What DevReady.Ai gives you before the next build

Before you spend more tokens or ask a developer to touch the code, DevReady.Ai helps you define what the feature is, who it is for, what rules it must follow, what success looks like, and what should actually be built next.

GitHub import

Let DevReady.Ai document what already exists

Connect GitHub and let DevReady document what is already built, what is missing, what is fragile, and what should be prioritised next.

Rules and flows

Define business rules before the AI guesses

Capture user flows, permissions, billing behavior, edge cases, and acceptance criteria before another build starts.

MCP or brief

Hand AI or a developer a build-ready plan

Use MCP where supported so AI tools can read the structured context directly, or use a builder-ready brief for Lovable, Replit, Bolt, v0, Cursor, Claude Code, or your developer.

Before and After

Building from prompts vs. building from a plan

One starts with a prompt. The other starts with a plan. Only one gives your AI the context to build with confidence.

Prompt-first

Start with a prompt. Fill in the gaps later.

What most solo builders do

What Al has to guess
What usually happens

Plan-first

Define everything up front. Build with confidence.

What DevReady.Ai defines before anything gets built

What DevReady. Ai gives you
What Al has to guess

Why planning costs less than rebuilding

Most of the cost isn’t writing code. It’s rewriting it. DevReady.Ai helps you make the important decisions first, so AI spends more time building and less time correcting itself.

Failed prompts

Spend fewer tokens on the same feature

Define the logic once, then reuse the structured plan instead of paying for repeated context every time you try again.

Rebuild loops

Catch missing rules before they become rework

Permissions, billing logic, states, and edge cases get clarified up front instead of surfacing after broken output already exists.

Token-heavy coding

Get to usable output faster

Clearer scope means the expensive coding step starts later but lands better, which is usually cheaper than coding too early.

Your Starting Point

DevReady.Ai meets you where you are.

Start with an idea or import an existing project. DevReady.Ai helps you organise what’s already there, fill the gaps and create a structured plan for what comes next.

1. Starting fresh

Define the work before the first build

Turn a rough feature into clear scope, business rules, user states, acceptance criteria, and next-step priorities before the expensive coding step begins.

2. Already building

Import the current project without starting over

Connect GitHub and let the DevReady agent document existing features, gaps, incomplete flows, fragile areas, and the next iteration to plan from current state.

3. How the handoff works

MCP when supported. Builder-ready brief when not.

DevReady can expose the structured feature context through an MCP server so supported AI coding tools can read the scope, business rules, and acceptance criteria directly. If MCP is not the path, DevReady still produces a builder-ready brief for Lovable, Bolt, Replit, v0, Cursor, Claude Code, or a human developer.

What founders say after
planning with DevReady.Ai

Founders share how DevReady.Ai helped them organise their ideas, reduce rework and build with greater confidence.

Pricing

Free to test the workflow.
Pay when the project becomes serious.

Start with one project and prove the value.

Move to the real solo plan when planning first is already saving you time, credits, and messy rebuilds.

Beginner

Try it free

Free

$0to start

Use one real project to see whether plan-first building changes the quality of your next output.

Features

Real project

Solo Monthly

Most Popular

$29/project /month

Best first paid step when the project is real, still evolving, and you want cleaner AI build workflows without a big commitment.
Features

Committed project

Solo Annual

Best value

$249/project /year

Best value once the project clearly has legs and you know you will keep refining, shipping, and handing work into build tools.
Features

Need a developer or PM later? 

Start solo, then upgrade the same project when shared planning, cleaner handoff, or support actually become necessary.

From planning to launch

Ready to take your product to market?

DevReady.Ai helps you create the plan. When you’re ready to build, launch and grow, the team behind DevReady.Ai can help turn that plan into production-ready software without losing the context you’ve already created.

The same structured plan becomes the foundation for engineering, delivery and long-term growth.

Product management

Clarify priorities, scope, sequencing, and decision-making once the idea becomes a real roadmap.

Delivery

Turn the structured plan into an execution path with backlog setup, coordination, and delivery rhythm.

Commercialisation

Shape launch readiness, pricing inputs, packaging, and the practical path from product to market.

Maintenance

Keep the product stable as requirements change, bugs surface, and the codebase needs ongoing care.

Support

Add practical follow-through when customers, delivery issues, or internal questions need real coverage.

Development

Bring in implementation help when the project needs engineering depth beyond AI-assisted solo building.

Better Products Start With Better Conversations

The DevReady Podcast

For years, we’ve sat down with founders, product leaders, technologists and operators to unpack what it really takes to turn an idea into something that works.

The conversations go beyond code. They explore product decisions, validation, leadership, growth, AI, and the lessons that usually only come from building something for real.

FAQs

Still wondering if DevReady.Ai
is right for you?

From AI prompts to project planning, here are the answers to the questions we hear most often.

Can I just keep using ChatGPT or Claude instead?

You can, and many people do. The challenge isn’t generating ideas. It’s turning hundreds of prompts into a complete, organised software plan that developers can confidently build from.

DevReady.Ai gives you structured requirements, user stories, acceptance criteria, feature organisation and implementation-ready documentation instead of disconnected conversations.

Not at all.

DevReady.Ai was designed for founders, business owners, product managers and anyone with an idea for software. You don’t need technical knowledge to describe what you want.

The platform helps translate your ideas into documentation that both business stakeholders and developers can understand.

Once you’re happy with your plan, DevReady.Ai prepares everything needed to move into development.

Your project can be shared with your internal team, external developers or freelancers, and DevReady.Ai also generates an MCP so AI coding tools like Cursor understand your project before writing code. The result is less repetition, fewer misunderstandings, and a smoother transition from planning to development.

Absolutely.

You don’t have to start from scratch. You can import an existing project, expand it, improve the documentation, plan new features or organise work that has grown difficult to manage.

Many teams use DevReady.Ai to bring structure back to projects that already exist.

Yes.

Everything generated by DevReady.Ai is editable. You can refine requirements, rewrite features, adjust user stories and keep improving your documentation as your product evolves.

Think of it as a living project plan rather than a one-time document.

No.

DevReady.Ai helps you plan software properly before development begins. It improves communication, reduces misunderstandings and gives developers clearer requirements.

Your developers spend less time guessing and more time building.

Project management tools help organise work after you’ve decided what to build.

DevReady.Ai helps you decide what should be built in the first place. It creates the product requirements that feed into tools like Jira, Linear, ClickUp or your preferred development workflow.

That’s completely fine. In fact, many of our users come to DevReady.ai after realising their project has outgrown a collection of prompts.

You can import your existing project and use DevReady.Ai to organise your requirements, document existing features, plan what’s next and generate an MCP for your AI coding workflow. Rather than starting over, you bring structure and clarity to what you’ve already built, making future development faster, more consistent and easier to manage.

That depends on the size of your product.

Simple ideas can be documented in minutes, while larger platforms naturally require more refinement. Because DevReady.ai remembers your project context, you can continue improving your documentation whenever you need.

Yes.

DevReady.Ai supports multiple leading AI providers, allowing you to connect the models that best suit your workflow.

You’re not on your own.

Our documentation, guides and support team are available whenever you need assistance. If you’d like expert help planning a larger product, the Aerion team can also work with you through the DevReady process.

Most software projects don’t fail because people couldn’t write prompts. They fail because requirements were unclear before development started.

DevReady.Ai helps you organise ideas into structured documentation before time and money are invested in building, giving your team or AI coding tools a much stronger foundation.

Start your next build
with a plan,
not another prompt.

Plan your software before AI starts writing code. Reduce rework, organise your thinking and give every build the context it needs.