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PRD
Product Manager
Turns your idea into a plan
Produces: PRD and a prioritized backlog (evidence-grounded RICE)
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Launching soon · Early access
Seven coordinated AI agents plan, design, build, test, secure and deploy real software. One orchestrator runs the team. A human — you — approves every step.
Human approval gates at every step — you stay in control.
The pipeline · illustrative
Every step pauses for your written approval before work continues.
$720k/yr
the cost of a minimal US engineering team, before shipping a line of production code.
142 days
the average time to fill a single senior developer role.
~48%
of startup founders are non-technical — paying $50k–$150k for an MVP.
30–40%
of startup failures trace back to the inability to execute technically.
Figures compiled from publicly available industry research by Knowlance AI.
The solution
The output capacity of a small engineering team, at a fraction of the cost — coordinated by one orchestrator, checked by you at every step.
In
One sentence describing your idea
Out
A working, deployed product
How it works
Master AI Control runs the team and hands work between agents. You approve every stage.
Idea
One sentence in
PRD
Product Manager
Design
Solution Architect & Designer
Code
Software Developer
Test
QA Engineer
Secure
Security Engineer
Deploy
DevOps Engineer
Measure
Data Analyst
Live
Deployed product out
Every hand-off is a human approval gate — nothing moves forward without your sign-off.
The team
Each agent does one job with real depth — and MAC makes them work like a team.
Master AI Control (MAC) — the orchestrator brain that runs the whole sdlc; a coordinated pipeline: work handed between agents, progress tracked, humans approving every step.
PRD
Turns your idea into a plan
Produces: PRD and a prioritized backlog (evidence-grounded RICE)
Design
Designs the system and the UI
Produces: Tech stack, data model, API contracts, C4 diagrams, and a clickable prototype
Code
Writes the actual code
Produces: Real, tested code — not scaffolding
Test
Tests it like a real tester
Produces: Generated test suites, self-healing tests, and a live black-box audit of the running app
Secure
Breaks it before attackers do
Produces: Threat model, scan reports, exploit checks, and remediation
Deploy
Ships it
Produces: Terraform, Kubernetes/Helm, CI/CD, and real deploys with cost guardrails
Measure
Tells you what's working
Produces: KPIs, dashboards, NL→SQL queries, forecasting, and feature recommendations
Meet the agents →
roles, outputs, capabilities
For founders
Describe your product in plain language, approve each step, and get a working, deployed application — without hiring or giving away equity.
For foundersFor teams
Put a coordinated agent team on the well-specified work — with real artifacts, approval gates, and your standards enforced end to end.
For teams & enterprisesInfrastructure
Knowlance AI is cloud-agnostic end to end. The platform runs on a multi-cloud architecture — and the products the agents build deploy to the cloud of your choice, with no vendor lock-in.
Frontier-model inference
Managed LLM runtime behind every agent
Serverless containers
Elastic compute — this site included
Kubernetes orchestration
For agent workloads at scale
Postgres + pgvector
Product data and embeddings
Launching soon. Join the waitlist and get early access before the public launch.