How is Forge different from asking a single chatbot?

Forge runs six role-specialized AI agents that challenge each other's assumptions, debate contentious points and vote — surfacing where a plan is fragile before you build it, with a full reasoning trace.

Can I audit why a decision was made?

Yes. Every consensus is logged with the full debate, each agent's vote, the rationale and a confidence score. Outputs cite their knowledge sources inline.

How long does a run take?

Most runs complete in well under three minutes, and the whole orchestration is visible live while it executes.

Your entire product team, powered by AI.

Six specialized AI agents debate, vote and generate PRDs, backlogs, architecture and roadmaps — just like a real product team.

Create your first project free See how it works

live run

Parsing intent

Simulation of a real Forge run — six agents, one consensus, 22 seconds.

Built on

Microsoft

Azure

Foundry IQ

GitHub

Capabilities

An AI product team that thinks before it writes.

Agent debate

Every agent challenges the others' assumptions before producing any deliverable.

Consensus engine

Contentious decisions are voted on with full traceability and a confidence score.

Decision history

Every consensus is logged with its vote, rationale and metadata.

Versioned artifacts

PRDs, backlogs and architectures with version control on every change.

Risk scanner

QA reviews every plan against security, compliance and fraud risks.

Project memory

Agents remember every prior decision and domain constraint.

Workflow

From idea to execution. In under 3 minutes.

Describe your idea

One sentence is enough. Foundry IQ classifies it and retrieves grounded domain knowledge before any agent reasons.

Agents reason in parallel

PM, UX, Architect, QA, Scrum and Business analyze from their own discipline — each emits its findings to the orchestrator.

Auth is required for order history.

That doubles flow complexity.

Confidence

0.87

They debate to consensus

Conflicts are voted on. The Orchestrator emits a scored consensus.

PRDQueued

BacklogQueued

ArchitectureQueued

Export everything

PRD, backlog, architecture, roadmap — versioned and traceable.

The team

Six specialists. One Orchestrator.

Each agent owns its discipline and defends it in the debate — the same tension that makes real product teams great.

Product Manager

PRDs, goals, user stories, acceptance criteria and backlog.

UX Designer

User flows, information architecture, journeys and wireframes.

Tech Architect

System architecture, APIs, database schemas and scalability.

QA Engineer

Risk scanning, test plans, edge cases and security.

Scrum Master

Sprint planning, story points, roadmaps and milestones.

Business Analyst

Monetization, GTM, business risks and market opportunities.

Microsoft Foundry IQ

Reasoning you can audit.

Foundry IQ powers the orchestration, knowledge retrieval and decision support behind every run. Every step is traced — which sources were consulted, how each agent voted, and why the consensus reached its conclusion.

Agent orchestrationKnowledge retrievalContext managementDecision support

Foundry IQ Trace — Run #a3f2c1

+0.00sOrchestrator initdomain=marketplace

+0.12sPM analyzingPRD scope=checkout

+0.48sArchitect validatingschema=payments

+1.03sQA scanningrisks=3 found

+1.47sDebate phaseauth vs anonymous

+2.10sConsensusconfidence=0.87

Specialist agents per run

Deliverables generated

<3 min

From idea to full backlog

100%

Decisions traced & cited

Pricing

Start free. Scale when your team does.

Free

To try Forge out

$0/month

2 projects

All 6 AI agents

5 runs per month

Markdown export

Start free

ProMost popular

For teams that build

$29/month

Unlimited projects

Full reasoning traces

Decision history

Versioned artifacts with diffs

GitHub & Jira export

Try it free

Enterprise

For organizations

Custom

SSO & RBAC

Private Foundry IQ

Custom agents & KBs

Audit logs & compliance

Talk to us

FAQ

Questions, answered.

Every run produces a full set of product deliverables: a PRD with user stories and acceptance criteria, a prioritized backlog, system architecture, UX flows, a QA risk plan, a sprint roadmap and a business case. Each artifact is versioned, so later runs evolve them instead of overwriting.

Your AI product team is ready.

From idea to execution — in a single run. No setup, no learning curve.

Create your first project free