AgenticX PdM
Your AI Product Management Team, Ready in Minutes
Deploy 12 specialised AI agents that automate discovery, validation, communication, and execution. Transform your product development process with autonomous workflows powered by Marty Cagan's proven framework.
Meet the team
12 specialised agents you can prompt directly or run as part of a coordinated workflow.
Orchestrator
Meta-agent — coordinates the 11 product-management specialists through the 9-phase Cagan lifecycle (Discovery -> Strategy -> Design -> Planning -> Execution -> Launch -> Post-Launch -> Iteration).
“Assess our current phase readiness.”
Vision Agent
Synthesises product vision using Marty Cagan's framework — Jobs to be Done, value hypothesis, North Star metric, strategic guardrails.
“Synthesize a 3-5 year product vision for our [domain] platform.”
Strategy Agent
Develops product strategy and competitive positioning using Cagan's strategic-context framework — TAM/SAM/SOM, Porter's five forces, investment themes, positioning statements.
“Build a TAM/SAM/SOM analysis for our market.”
Customer Discovery Agent
Synthesises customer feedback into problem statements, JTBD maps, and stakeholder power/interest grids. Drives the upstream end of the discovery funnel.
“Synthesize these 12 customer interviews into problem statements.”
Opportunity Agent
Evaluates opportunities against Cagan's four risks (value, usability, feasibility, viability). Scores backlog and ranks by expected impact vs effort.
“Score these 5 opportunity ideas against Cagan's four risks.”
Discovery Agent
Generates falsifiable hypotheses and concurrent experiment plans for rapid learning — Cagan four-risk validation, prototype fidelity, go/no-go criteria.
“Design 6 concurrent experiments to validate our value hypothesis.”
Design Agent
Creates UX direction, user flows, and wireframe specifications grounded in JTBD. Defines MVP scope (in / out / never).
“Define MVP scope (in/out/never) for the onboarding flow.”
Planning Agent
Creates OKRs, quarterly roadmaps, capacity plans, and tech-stack recommendations. Balances ambition with engineering capacity.
“Draft Q3 OKRs for the platform engineering team.”
Delivery Agent
Tracks execution, identifies blockers, manages dependencies, surfaces risks. Phased rollouts and milestone tracking.
“Build a phased rollout plan with milestones and risks.”
Go-to-Market Agent
Builds positioning, messaging, launch plans (private beta -> public launch -> scale), pricing, and channels. For/Who/Our/That/Unlike value-prop format.
“Write a For/Who/Our/That/Unlike value proposition.”
Analytics Agent
Defines AARRR + product-health metrics, designs A/B tests with statistical rigor, ranks iteration priorities by expected impact.
“Define 8-12 metrics across product-health, business, engagement, retention.”
Communication Agent
Tailors executive summaries by audience (board / C-suite / engineering / sales / customers). Situation-complication-resolution storytelling.
“Draft a board-level update on our Q3 launch.”
Lifecycle
The platform tracks artefacts across these 9 phases.
- Initialized
- Discovery
- Strategy
- Design
- Planning
- Execution
- Launch
- Post-Launch
- Iteration
Integrates with your stack
Connect existing tools so agents can read context and write artefacts back where your team works.
Slack
Notification
Jira
Project Management
Confluence
Knowledge Base
Get started with AgenticX PdM
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