AI-Powered Product Management Intelligence
320+ expert-grade PM skills, 10 virtual team roles, 15 agile methodologies, and a 5-stage Berkeley Innovation Pipeline. Turn one product manager into an AI-augmented product team — from discovery to deployed software, across Claude, ChatGPT, Mistral, and custom APIs.
320+ PM Skills
10 Virtual Roles
5-Stage Pipeline
8 Tool Integrations
The Problem
Why product teams can't keep up
Product managers spend 60% of their time on artifact creation — PRDs, user stories, roadmaps, sprint plans — leaving almost no time for strategic thinking, user research, or stakeholder alignment.
Every PM produces artifacts differently. No shared frameworks, no quality rubrics, no institutional knowledge. Junior PMs reinvent the wheel while senior PMs hoard expertise in their heads.
PM work is scattered across Notion, Linear, Jira, Figma, Confluence, and Slack. No single system connects discovery to delivery, and context is lost at every handoff.
Growing companies need PM capacity they can't afford to hire. Startups need enterprise-grade product discipline without enterprise-sized teams.
Capabilities
10 pillars of AI-powered product management
320+ expert-grade PM skills across 14 disciplines — strategy, GTM, discovery, analysis, planning, AI/ML, platform, enterprise, and growth. Each skill includes named frameworks with book citations, anti-patterns, and quality checklists.
10 specialized AI roles — analyst, architect, developer, UX designer, copywriter, tester, security, DevOps, scrum master, and business analyst. Each role brings discipline-specific expertise to your product process.
5-stage framework from UC Berkeley executive programs: Discovery → Insights → Architecture → Experiment → Deploy. PM approval gates control advancement. Three modes: fast, standard, and careful.
6 pre-built skill chains — discovery-to-PRD, GTM launch, churn-to-retention, strategy-to-roadmap, sprint cycle, and new feature. Each workflow passes context between stages for coherent end-to-end output.
PM Company OS — describe an idea, and AI agents across disciplines execute in sequence. PM approves at gates, artifacts version in git, and feedback loops improve output quality over time.
Write back to your existing stack: Notion pages, Linear issues, Jira tickets, GitHub releases, Figma specs, Miro boards, Slack digests, and Confluence wikis. Generate artifacts and push them where your team already works.
Embed your PM playbooks, interview transcripts, and competitive intelligence into a retrieval system. Skills reference your institutional knowledge — not generic advice — with evidence quality tiering and staleness warnings.
13-point automated skill quality audit, LLM-judge evaluation rubrics for 6 artifact types, and 15 expert-quality benchmark outputs. Every skill output is graded against professional standards.
Runs on 5 AI platforms without modification: Claude Code (plugin), Claude Desktop (MCP), ChatGPT (Custom GPT), Mistral AI (Agents API), and custom HTTP API. Use your preferred AI assistant.
Production-ready infrastructure: Docker Compose (5 services), Kubernetes Helm chart with HPA, AWS ECS Fargate, and GCP Cloud Run. SOC 2 aligned, GDPR compliant, with SLA templates and audit logging.
Performance
What LaunchpadOS delivers
320+
Expert PM skills across 14 disciplines
10
Virtual team roles (analyst to DevOps)
15
Agile methodologies (Scrum, Kanban, SAFe, Shape Up...)
8
PM tool integrations (Notion, Linear, Jira, GitHub...)
6
Pre-built multi-skill workflows
5
AI platforms supported (Claude, ChatGPT, Mistral...)
Tech Stack
Python 3.12+, FastAPI, Click CLI, Redis caching, Pydantic v2, litellm multi-provider abstraction
Claude (Sonnet/Opus), GPT-4o, Mistral Large, Ollama (local), 3-tier model routing, RAG with FAISS + sentence-transformers
React 18, Vite, Tailwind CSS, skill browser UI, brief input, output panel, history panel
Notion (pages), Linear (issues), Jira (tickets), GitHub (releases), Figma (specs), Miro (boards), Slack (digests), Confluence (wikis)
Docker Compose (5 services), Kubernetes Helm, AWS ECS Fargate, GCP Cloud Run, nginx reverse proxy, API key scoping
Pytest (13-check skill audit), LLM-judge rubrics (6 artifact types), 15 expert-quality benchmarks, hypothesis-based testing
Pricing
Contact me to learn how LaunchpadOS can transform your product management practice with AI-powered skill execution.
Beyond LaunchpadOS, I offer hands-on consulting to accelerate your product management practice — from AI strategy to team training.
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LaunchpadOS Squad is the consulting offer that runs this platform for you. An AI-augmented product team ships V1 in 8–12 weeks, or runs as monthly capacity alongside yours. The platform is installed in your environment and yours at handover.
See the LaunchpadOS Squad service