Prist. all. now.

Your agent gets the full picture. Before it changes a thing.

A service for your AI that saves tokens and time, and improves the quality of the result.

Map level 1. Use the arrow keys to choose nodes. Enter opens a module or zooms the map.

For people building products with AI

  • You have an idea, but no development experience

    You need to know where to start and how to check what the agent built.

  • The first version works, but it is hard to grow

    Fixing one thing breaks another. In a new chat, you have to explain the project all over again.

  • You build yourself and bring AI into the work

    The agent misses project rules and touches neighboring code. You spend time reviewing its changes.

After discussing the product with you, the agent records requirements in specifications, and Prist helps use them in every task.

Prist helps AI avoid breaking the project

Prist shows the agent where to change code, what it connects to, and what to check. The agent gets oriented faster and keeps what already works in mind.

You ask the agent

In a new chat, the agent knows where you left off

Prist keeps decisions and the work history. In a new chat, the agent knows what is done and where to continue.

New chat
You

Let’s continue working on sign-in.

Prist checks whether the task is complete

Prist checks the result against the task conditions and tells the agent what still needs to be done.

Application form
You: Build an application form
AI agent

The form is in. I’ll check with Prist whether the task is complete.

PristCompletion check
Next step

Check the form on a phone.

I’m checking the form on a phone.

Browser check
PristTask conditions confirmed

Done.The form sends applications and works on a phone.

Agents work in a shared environment

Prist keeps tasks, requirements, and results. Agents work in parallel, request changes from one another, and use finished solutions.

A demonstration of work in Prist. The notifications agent comes up to the board header and asks the time-zone specialist whether it can handle notifications without getting in the way. The second agent joins and answers: “Yes, all good. Time zones are ready.” Other tasks continue during the conversation. The agents return to work: time zones are closed and notifications account for the client’s local time. New tasks appear at the bottom of the backlog. Different agents appear beside their tasks; some leave after finishing, while others continue or return later. Up to three workers are active at once. Later agents check repeated clicks, restore text after a connection failure, and test a long name on a phone. Other sessions continue a family booking, choose consecutive times, and use time zones in the calendar. A question about the cancellation rule waits for a human decision. New tasks and workers keep appearing. Agents work while Prist stores tasks, dependencies, requests, and results.

Work together. Everyone with their own AI

Invite colleagues to the project. Their agents get access to shared requirements, tasks, and current work — and can coordinate with one another while working in parallel.

GitHub

GitHub changes are connected to Prist tasks

Prist connects a task to its branch, changes, and checks in GitHub. The next agent receives that history together with the requirements and work context.

Prist turns vibe coding into serious work with AI

Infrastructure for your agent.
For projects of any size

Project examples

Large platform · 380k lines of code

Call analysis, reports, knowledge bases, payments, and partner portals. Plus CRM and telephony integrations.

Small web service

An AI translator that accounts for context and tone, with translation history.

Large system for one clinic

Patient and specialist schedules, prescriptions, and clinic rules. Integrations include prescriptions from Interin and rehabilitation programs from amoCRM.

Windows and macOS app

Records meetings and turns audio into text. Under the hood: sound processing, local models, and cloud services.

Prist is used in Isty’s regular work with clients. It is already part of dozens of local tasks. Now we are bringing it to the market.

We compared AI work with and without Prist

One model, four ways of working.

Quality, points

AI spend, $

With Prist, AI spend is 94.9% lower.Quality is 98 out of 100 for both Prist and plain Codex.

Each task was run three times with each approach.
We compared AI work spend, without project preparation.

AI writes specifications before it writes code

You discuss how the product should work. The agent records the agreements in specifications and updates them together with the code.

Prist shows the agent the requirements it needs, the connected parts of the code, and what has already been done for the task.

Our spec-driven approach
SpecificationConnections saved
My project / Access control

Project access

A member can see the projects they were invited to.

Only an administrator can open the admin panel.

Permissions are checked on every request.

Implementation
const canManage = (user) => user.role === 'admin';
Verification

A member cannot open the admin panel

Source specifications, code, and tests stay in your project.

New chat
You

Add the ability to invite colleagues to the project from the admin panel

Task accepted.

Agent without Prist

So, project invitations…

Agent with Prist

I’ll ask Prist where to change the code.

Connect Prist to your agent

Come with an idea or an existing project. Your agent will help define the first version or understand the code that is already there.

Prist is free. You use your AI tool under its own plan.

Try Prist on your project

A couple of sentences about the idea or existing project.

Requests are not sent in preview.

Once you receive an invite, create a project in Prist and send the ready-made instructions to your agent.

FAQ

Can I start with an idea or connect an existing project?

Yes. Prist can be connected at any stage.

If you only have an idea, discuss it with your agent. It will help clarify who the product is for and what belongs in the first version, record requirements in specifications, and break the work into tasks.

If the project already exists, the agent will study the code and documentation, clarify what is missing, and prepare the project for work with Prist. You can then continue development with what has already been built in mind.

In both cases, the agent needs access to the project folder. For a new idea, the folder can be empty.

Which agents work with Prist?

The connection is prepared for Codex and Claude Code. Compatibility with other tools depends on Prist support and the tool’s ability to work with the project folder.

Where are the code and project knowledge stored?

Code and tests stay in your repository. Specifications — descriptions of how the product should work — stay there too. Prist keeps a copy of them and their connections, along with tasks, decisions, and verification results. The service helps the agent find the context for the task and use the saved work history. With local files, you can continue development with an agent without connecting to Prist.

What is Prist based on?

Prist grew from our approach to AI-assisted development: product requirements are connected to code, checks, and work results. We published the methodology so you can study and apply it in your own projects.

Methodology on GitHub
How do I know the product is ready to launch?

Ask the agent what remains before launch. In Prist, it sees the project’s readiness stages: what has been checked, what still needs to be prepared, and what the next step is. The agent adapts these stages to your product and keeps the verification results.

What if I am not happy with the result?

Explain in the chat what needs to change. The agent will return the task for rework, while Prist keeps your comments and the history of the previous result. The same agent or another one can continue.

Can I save ideas for later?

Yes. Ask the agent to save an idea or add it to Prist yourself. Later, you can return to it, clarify the details, and turn it into a task.