Requirements Agent
Turns your ideas into a documented brief that the Project Manager breaks down and routes.
The Project Manager is an AI project manager for software development in the Ai1 platform by MyZone AI: it breaks your build requests into steps, routes each to your developer agent with full context, gets every change tested, reviews what comes back and shows you live progress; a live deploy always waits for your go-ahead.
We'll show you the Project Manager on your own project. Nothing goes live without your explicit go-ahead.
Every change reviewed
Nothing is committed until the developer reports back, the tester verifies it and you have seen the result. Quick-fix shortcuts do not happen.
Parallel work, no dropped balls
Independent tasks run at the same time and dependent ones wait their turn. It keeps track so you do not have to.
Fewer back-and-forths
Each piece of work goes out with the project, the relevant pages, screenshots and clear instructions, not a bare task title.
Meet your agent
Pieter runs your development projects: breaking down requests, directing the right agents and keeping you in the loop. He is direct, organised and cycles to work every day.
AI agent. Fictional persona; not a real person.
| Name | Pieter V. |
|---|---|
| Role | Project Manager |
| Experience | 26 years |
| Work history | Project director at an engineering consultancy IT project manager at a port logistics company |
| Personality | Direct, organised |
| Based in | Rotterdam, Netherlands |
AI does better work as a specific expert, so the Project Manager works as Pieter (Project Manager, Rotterdam, Netherlands). You can rename Pieter or change the personality, experience and profile settings at any time.
Why our agents have personalitiesAt a glance
Last updated · Reviewed by the MyZone AI team
| Planning | Splits each request into steps and works out what can run together |
|---|---|
| Routing | Sends each piece to your developer agent with pages, screenshots and instructions |
| Testing | A tester agent checks every change; failures go straight back |
| Progress | A live view of what is in progress, done and queued |
| Where | In chat or by posting in Slack |
| What it never does | Write code itself, or deploy live without your go-ahead |
Capabilities
Splits what you want built or fixed into separate pieces and works out which can run together and which must wait.
Sends each piece to your developer agent with the project, the relevant pages, reference screenshots and the right instructions.
Checks the developer's summary and sends work back with details if it needs another pass. You do not have to manage that loop.
Hands finished work to a tester agent to check behaviour and capture screenshots. Failures go straight back to the developer.
Gives you a live view of what is in progress, what is done and what is queued.
Handles the commit once work is confirmed, and always asks your go-ahead before anything goes live.
Reads your Notion wiki and trackers, and adds notes or updates rows only after you say yes.
A task board records what needs doing and waits for someone to move the cards. The Project Manager moves the work itself: it plans each request, sends it to your developer agent with full context, gets it tested, sends failures back, commits the result and shows you live progress. Independent tasks run in parallel, dependent ones wait, and nothing reaches production without your go-ahead.
How it works
It runs inside your Ai1 system and works in the tools you already use. You ask, it works, it reports, and it stops for your OK where it matters.
Describe what you want built, changed or fixed, in chat or by posting in Slack.
It breaks the work down and sends each piece to your developer agent with full context.
The developer agent builds the change, and a tester agent checks it against the expected behaviour.
It reviews the results and sends anything that failed back for another pass, then re-tests.
It commits the finished work and deploys to staging when asked. A live deploy always waits for your approval.
When to use it
Demo data Real app screens, shown with a demo account. Every name and figure in them is sample data, not a real result.
Example project status
Example with a fictional company. Names, people and figures are invented to show the agent's output. Any resemblance to a real company or person is unintended.
What it was asked: Is our Mobile 3.0 release on track for 12 November? Give me the milestone plan, where this sprint stands, the risks, and what I need to decide this week.
For a real client the plan is built from the team's task board, sprint history, budget tracker and meeting notes, and each status is checked against the work itself rather than taken on trust. This example uses an invented company, so no real systems or data were read and every name, date and figure is made up; the forecasts are recomputed from those invented figures and cross-checked, and no industry facts are cited. Run date: .
Want a project status like this for your own project? Book a Project Manager walkthrough.
Book a Project Manager walkthroughBuilt-in guardrails
Every Ai1 agent works under human approval. Here is how the Project Manager keeps you in control.
Why teams choose Ai1
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Key-only SSH. Passwords are disabled, and repeated failed logins trigger automatic IP banning.
Your data belongs to you, and it is stored on your own server.
Better together
The agents that turn the Project Manager's output into results: your whole team, working from the same place.
Turns your ideas into a documented brief that the Project Manager breaks down and routes.
Sends approved designs as a brief the Project Manager can turn into build work.
Common questions
An AI project manager coordinates build work instead of doing it. The Project Manager in Ai1 by MyZone AI breaks requests into steps, routes them to your developer agent, gets each change tested, reviews what comes back and commits the result. Live deploys wait for your approval.
It does not replace your task board; it runs the work on it. To start, it needs your project set up on the Ai1 platform, a developer agent assigned to it and a tester agent for the checks.
The Project Manager sends each piece of work to your developer agent with the project, the relevant pages, screenshots and instructions. A tester agent then checks it against the expected behaviour.
Anything that fails goes back to the developer automatically with the failure details and is re-tested once the fix is in. You do not need to manage that loop.
Yes. Mention the Slack app in your project channel, or attach a requirements brief, and it picks up the request, confirms the plan with you and routes the work.
You do not approve every step, but live deploys always need your explicit go-ahead before anything goes to production.
Yes. If changes touch different parts of the project, it runs them in parallel. If they share files or depend on each other, it puts them in the right order.
Either way it never edits project files, HTML, CSS, JavaScript or config itself. All file changes go through your developer agent.
About Ai1
The whole platform. The Project Manager is included on every Ai1 level, including Developer Core, with no per-agent charge. It works alongside the other Ai1 agents on your account. Compare plans
Two paths, one platform. Build it yourself on a developer plan, or let our team run your AI operations for you. Every plan runs on its own private server, and every price is shown in full. See Ai1 pricing
See the Project Manager plan, route and test a change on your own project.
We'll show you the Project Manager on your own project. Nothing goes live without your explicit go-ahead.
Learn more
Runs the design checks across every app in your Ai1 portal, sends each fix to its owner, confirms it landed and checks new apps before they ship.
Turns a rough brief into a prompt tuned to your AI model, with written rules for what good looks like and what it must never do.
Checks any change before it goes out, sizes the check to the risk, brings in the right specialists and gives you one clear verdict.
Writes, tests and improves the step-by-step procedures your AI agents follow, and ships nothing until it runs reliably.
Turns your written requirements into a clear technical scope: what to build, in what order and how complex each part is.