Project Manager: AI That Runs Your Development Projects

Describe the change. It plans, routes, tests and keeps you in the loop.

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.

Plans & pricing

  • 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.

Get to know Pieter

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.

Pieter, the persona of the Project Manager
NamePieter V.
RoleProject Manager
Experience26 years
Work historyProject director at an engineering consultancy
IT project manager at a port logistics company
PersonalityDirect, organised
Based inRotterdam, Netherlands

Why Pieter has a personality

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 personalities

The Project Manager in short

Last updated · Reviewed by the MyZone AI team

The Project Manager at a glance
PlanningSplits each request into steps and works out what can run together
RoutingSends each piece to your developer agent with pages, screenshots and instructions
TestingA tester agent checks every change; failures go straight back
ProgressA live view of what is in progress, done and queued
WhereIn chat or by posting in Slack
What it never doesWrite code itself, or deploy live without your go-ahead

What the Project Manager does for you

  • Breaks requests into clear steps

    Splits what you want built or fixed into separate pieces and works out which can run together and which must wait.

  • Routes work with full context

    Sends each piece to your developer agent with the project, the relevant pages, reference screenshots and the right instructions.

  • Reviews what comes back

    Checks the developer's summary and sends work back with details if it needs another pass. You do not have to manage that loop.

  • Gets every change tested

    Hands finished work to a tester agent to check behaviour and capture screenshots. Failures go straight back to the developer.

  • Shows you where things stand

    Gives you a live view of what is in progress, what is done and what is queued.

  • Commits and deploys when you say so

    Handles the commit once work is confirmed, and always asks your go-ahead before anything goes live.

  • Works with your Notion

    Reads your Notion wiki and trackers, and adds notes or updates rows only after you say yes.

How the Project Manager differs from a task board

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.

From your request to a finished result

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.

How the Project Manager works: you ask through the Comms Hub and Ai1 runs the steps: you make a request, plan and assign, build and test, review and commit and deploy. It works with Slack, Git and Notion. You approve at: commit and deploy. It returns a tested changes.
Tap the diagram to enlarge it

Step 1: You make a request

Describe what you want built, changed or fixed, in chat or by posting in Slack.

Step 2: Plan and assign

It breaks the work down and sends each piece to your developer agent with full context.

Step 3: Build and test

The developer agent builds the change, and a tester agent checks it against the expected behaviour.

Step 4: Review

It reviews the results and sends anything that failed back for another pass, then re-tests.

You approve

Step 5: Commit and deploy

It commits the finished work and deploys to staging when asked. A live deploy always waits for your approval.

Hand these situations to the Project Manager

Illustrative photo: the product owner at a software company asks the Project Manager for help from their phone.
Illustrative photo. Describe the change in plain words, in chat or in Slack.
  • A bug needs fixing
    The developer agent fixes it, the tester confirms it works and it commits the change, with screenshots and a clear commit message for you.
  • A feature touches several pages
    It runs the pages in parallel through the developer, verifies each one and commits once they all pass.
  • You want to push staging to live
    It confirms the work is complete, asks for your go-ahead and then runs the live deploy.
  • You post a request or brief in Slack
    It picks it up, confirms the plan with you, gets approval and routes the work to the right place.
  • A test comes back with failures
    It sends the failure details to the developer automatically and re-tests once the fix is in.
The Tasks app the Project Manager works in, listing sample build requests with their status, priority, assigned agent and owner (demo data)
Every request in the Tasks app it works in, with status, priority and owner
  • A task opened in the Tasks app, showing its description, subtasks, done checks, dependencies and activity (demo data)
    Each task carries its description, subtasks and the checks that define done
  • The Needs you view of the Tasks app with one plain-English question waiting for the owner's decision (demo data)
    Questions that need your decision wait in one place
  • Overview page of the Tasks app explaining how requests arrive, are tracked and unblocked, and move through to done (demo data)
    How work arrives in the Tasks app, gets unblocked and ships

Demo data Real app screens, shown with a demo account. Every name and figure in them is sample data, not a real result.

What you get

  • A step-by-step plan for each request
  • Work routed to your developer agent with full context
  • Tested changes with screenshots
  • Descriptive commit messages for every change
  • A live view of progress across your project
  • Staging and live deploys, with live always approved by you

What it won't do

Example: release project plan and 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.

Example report
Five headline status tiles and a table of seven release milestones with planned and forecast dates, slip, status, owner and a timeline showing each milestone moving one week later, next to a shaded holiday release freeze.
Status at a glance and milestone plan
A five-column sprint board with task cards for to do, in progress, waiting for review, blocked and done, plus a burndown chart, a velocity bar chart and a short summary of the one-week gap.
Sprint board snapshot
A risk register of six risks scored by likelihood times impact, with trend, owner, response and escalation trigger, and three dependency cards below.
Risks and dependencies
A weekly status email to the product owner beside a table of three options to recover a one-week slip, comparing launch date, forecast cost and risk, with the recommended option highlighted.
Weekly status update and decision

What it found: 3 findings, with the numbers

  • The Mobile 3.0 release is at risk: 60% of the work is done and spending is on plan, but at today's pace the last day for new features slips a week, to 6 November.
  • The slip has two causes, not effort: a payments task blocked for three days by a supplier's test system, and one code reviewer, so finished work waits two days.
  • Recommendation: move saved cards to the January update to keep the 12 November launch at US$409,000, under the US$440,000 budget; moving the date instead leaves one working day before the peak-season freeze.

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 walkthrough

It asks before it acts

Every Ai1 agent works under human approval. Here is how the Project Manager keeps you in control.

  • It never writes code or edits project files itself. All changes go through your developer agent.
  • Every change is tested before it is committed, and failures go back for fixing.
  • Live deploys always need your explicit go-ahead before anything reaches production.
  • Commits run through one point of control, so you always know what changed and why.

Part of Ai1, by MyZone AI

Trusted by leaders at Plastic Bank, Outback Team Building, RMG Advertising, Keeran Networks, and Titan Training Centre.

Key-only SSH. Passwords are disabled, and repeated failed logins trigger automatic IP banning.

How we keep your data safe

Your data, your server

Your data belongs to you, and it is stored on your own server.

How we keep your data safe

Works well with

The agents that turn the Project Manager's output into results: your whole team, working from the same place.

  • Requirements Agent

    Turns your ideas into a documented brief that the Project Manager breaks down and routes.

  • Designer

    Sends approved designs as a brief the Project Manager can turn into build work.

Frequently asked questions about the Project Manager

What is an AI project manager for software development?

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.

How does AI coordinate developer and tester agents?

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.

Can I send the Project Manager requests through Slack, and do I approve every step?

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.

Can the Project Manager handle several changes at once?

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

Do I get just the Project Manager, or the whole platform?

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

More about Ai1: security, setup time

Put the Project Manager to work

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.

Plans & pricing

More on this topic

  • Product & Engineering

    Portal Compliance Agent

    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.

    • Audits
    • Manages projects
    • Reports
  • Product & Engineering

    Prompt Engineer

    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.

    • Writes content
    • Audits
    • Plans strategy
  • Product & Engineering

    QA Orchestrator

    Checks any change before it goes out, sizes the check to the risk, brings in the right specialists and gives you one clear verdict.

    • Audits
    • Manages projects
    • Reports
  • Product & Engineering

    Recipe Manager

    Writes, tests and improves the step-by-step procedures your AI agents follow, and ships nothing until it runs reliably.

    • Automates workflows
    • Audits
    • Plans strategy
  • Product & Engineering

    Scoping Agent

    Turns your written requirements into a clear technical scope: what to build, in what order and how complex each part is.

    • Plans strategy
    • Writes content
    • Analyzes data