The team

Seven specialists. One team.

Each agent does one job with real depth — the same roles you’d hire for a software team. Master AI Control coordinates them so the output is a product, not a pile of artifacts.

MAC

Master AI Control (MAC)

The orchestrator brain that runs the whole SDLC

MAC is not one of the seven delivery agents — it’s the brain above them. It owns the project state, decides what happens next, hands each agent exactly the context it needs, and stops at a human approval gate before any stage advances.

Orchestrates the full software development lifecycle end to end
Hands work between the seven agents with full context
Pauses at human approval gates at every step — you stay in control
Tracks progress and surfaces status across the whole build

The seven agents

Every role a software team needs

Name, job, and what each agent actually produces — no more, no less.

PRD

Product Manager

Turns your idea into a plan

Produces: PRD and a prioritized backlog (evidence-grounded RICE)

Converts a plain-language idea into a structured product requirements document
Builds a prioritized backlog using evidence-grounded RICE scoring
Keeps scope honest — what ships first, what waits

Design

Solution Architect & Designer

Designs the system and the UI

Produces: Tech stack, data model, API contracts, C4 diagrams, and a clickable prototype

Selects the tech stack and designs the data model
Defines API contracts before a line of product code is written
Produces C4 architecture diagrams you can actually read
Delivers a clickable prototype so you see the product before it's built

Code

Software Developer

Writes the actual code

Produces: Real, tested code — not scaffolding

Plans the work as a task DAG before building
Builds in vertical slices — each one a working piece of product
Runs and verifies every slice before moving to the next

Test

QA Engineer

Tests it like a real tester

Produces: Generated test suites, self-healing tests, and a live black-box audit of the running app

Generates test suites from the requirements, not just the code
Self-healing tests that survive UI and refactor churn
Live black-box audit against the actually-running application

Secure

Security Engineer

Breaks it before attackers do

Produces: Threat model, scan reports, exploit checks, and remediation

Builds a threat model for your specific application
Runs Semgrep, Trivy, and gitleaks scans across code and dependencies
Performs non-destructive exploit checks against the running app
Feeds remediation back into the pipeline until findings are closed

Deploy

DevOps Engineer

Ships it

Produces: Terraform, Kubernetes/Helm, CI/CD, and real deploys with cost guardrails

Writes the infrastructure as code: Terraform, Kubernetes, Helm
Sets up CI/CD so every change ships the same reliable way
Performs real deployments — with cost guardrails so bills don't surprise you

Measure

Data Analyst

Tells you what's working

Produces: KPIs, dashboards, NL→SQL queries, forecasting, and feature recommendations

Defines and tracks the KPIs that matter for your product
Builds dashboards and answers plain-language questions with NL→SQL
Forecasts trends from real usage data
Turns user feedback into concrete feature recommendations

These are the agents as they exist today — built, not aspirational. We’d rather under-promise here and let the product speak at launch.

Put the team to work on your idea.

Launching soon. Join the waitlist for early access to the full agent team.

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