AI PM Stack 2.0

Portfolio repository curated by John Anthony: a practical AI product management stack spanning strategy, discovery, prototyping, agentic operations, and production-ready app patterns.

This repo is intentionally multi-project. Each folder is independently useful, and together they form an end-to-end system for shipping AI-powered products faster and with better quality controls.

Why This Portfolio Project

• Demonstrates full-lifecycle AI PM execution, not just prompts or demos.
• Shows real implementation depth across apps, agents, workflows, and docs.
• Includes both beginner-friendly tracks and production-grade templates.
• Designed as a reusable operating system for PMs, builders, and AI teams.

Project Map

Folder	Focus
ai-pm-agentic-toolkit	Agentic PM framework, SOPs, personas, templates
ai-pm-exploration-toolkit	Local-first PM experimentation and Proof-of-Life workflows
ai-pm-lifecycle-speckit	Structured lifecycle framework for AI-native PM
antigravity-pm-kit	PM training curriculum and documentation website
gen-ai-apps-main	End-to-end GenAI application examples
fastapi-app-template	Production-friendly FastAPI backend starter
gen-ai-prompts	Role-based prompt libraries and prompt optimization patterns
gen-ai-agents	Notebook-based agent tutorials and reference builds
pm-vibecode-ops	Quality-gated PM-to-engineering workflow system
pm-vibecode-prompts	PM-focused prompt packs and teaching prompts
pm-idea-lab	AI idea-to-plan generation app with multi-format exports
pm-spec-driven	Vibecoding and spec-driven reference resources

Suggested Exploration Paths

1) PM Strategy to Delivery

1. Start in ai-pm-lifecycle-speckit
2. Use SOPs in ai-pm-agentic-toolkit
3. Operationalize with pm-vibecode-ops

2) Prototype to Production

1. Validate quickly in ai-pm-exploration-toolkit
2. Build from templates in gen-ai-apps-main
3. Deploy backend services from fastapi-app-template

3) Prompt and Agent Mastery

1. Use gen-ai-prompts and pm-vibecode-prompts
2. Study implementations in gen-ai-agents
3. Apply patterns through pm-idea-lab

Who This Is For

• Product managers building AI-native product workflows
• Startup operators who need speed without skipping rigor
• Technical PMs bridging product strategy and implementation
• Builders learning agentic architecture patterns hands-on

Core Stack Highlights

• Agentic workflows, SOPs, and role-based operating models
• Voice/audio intelligence and PM research automation
• Prompt engineering libraries and reusable playbooks
• Full-stack app examples using modern GenAI tooling
• API and deployment foundations with Docker/Kubernetes patterns

Portfolio Context

This repository is maintained as part of my public body of work and hands-on experimentation in AI product management systems.

• GitHub: anthonyjohn17
• Repo use: learning, adaptation, rapid prototyping, and production inspiration

Documentation Companions

• CAPABILITY_MAP.md: capability matrix by domain and maturity.
• POSSIBILITY_MAP.md: integration ideas and expansion opportunities.

Contributing & Reuse

Contributions are welcome. If you reuse patterns from this portfolio, keep attribution and original licenses in the relevant subprojects.

For contribution specifics in individual folders, use each subproject's local docs first.