AI Product Manager Portfolio Bundle

This repository is a portfolio bundle of four distinct AI-first product concepts, each implemented as a working FastAPI application with its own domain model, workflows, and Ghost-focused feature slice.

The repo is designed to show:

• product strategy translated into software
• practical AI and workflow automation
• thoughtful feature prioritization
• strong API-first system design
• differentiated case-study positioning across multiple products

Portfolio Structure

Project	Positioning	Core Story	Ghost-Relevant Slice	Port
P1_AstroMarine_CascadeFailureEngine	AI operations + autonomous decision support	Cascade risk modeling for hybrid infrastructure	Operator copilot, multilingual incident briefings, replay timelines, ops summaries	8001
P2_PolarSynth_SovereigntyPlatform	AI research and publishing intelligence platform	Strategic sovereignty and resource intelligence	Executive intelligence briefs, multilingual outputs, video/storyboard payloads, workflow exports	8002
P3_CryptoNova_BiocompoundEngine	AI discovery workflow with experimentation discipline	Biocompound discovery and patent pipeline	Research digests, workflow status, lightweight MLOps summary	8003
P4_DeepGenome_GeneticMarketplace	AI-enabled compliance and commercialization platform	Genetic IP licensing, compliance, and royalties	Compliance explainer, multilingual summaries, workflow templates, ops/risk reporting	8004

Why This Repo Exists

This bundle was optimized as a product-management portfolio rather than a generic engineering repo.

The goal was not to add every possible AI buzzword. The goal was to demonstrate:

• where AI helps users make decisions faster
• where workflow automation creates leverage for small teams
• where multilingual or executive-ready outputs matter
• where governance, auditability, and operational thinking improve the product

What Was Added In This Pass

Shared direction

Across the portfolio, the work emphasizes:

• AI-assisted output generation
• API-first workflow surfaces
• product-facing operational metadata
• demoable, high-signal endpoints
• portfolio-ready differentiation between products

Product-specific upgrades

P1 AstroMarine

• multilingual incident briefing generation
• replay timeline for telemetry and cascade events
• ops summary endpoint with prompt/template metadata

Key endpoints:

• POST /api/v1/missions/{mission_code}/copilot/briefing
• GET /api/v1/missions/{mission_code}/timeline/replay
• GET /api/v1/missions/{mission_code}/ops/summary

P2 PolarSynth

• strategic intelligence briefing generation
• multilingual briefing output
• executive video brief/storyboard payload
• n8n-ready workflow export for briefing automation

Key endpoints:

• POST /api/v1/zones/{zone_code}/briefings/generate
• GET /api/v1/zones/{zone_code}/briefings
• GET /api/v1/zones/{zone_code}/briefings/{briefing_code}
• GET /api/v1/zones/{zone_code}/briefings/{briefing_code}/video
• GET /api/v1/zones/{zone_code}/workflows/briefing-template

P3 CryptoNova

• multilingual research digest generation
• agentic workflow status summary for discovery stages
• lightweight MLOps summary surface for portfolio governance

Key endpoints:

• POST /api/v1/research/digest
• GET /api/v1/specimens/{specimen_code}/workflow-status
• GET /api/v1/mlops/summary

P4 DeepGenome

• human-readable compliance explainer
• multilingual marketplace/compliance summary
• n8n-ready workflow templates for licensing and royalties
• ops/risk summary surface

Key endpoints:

• POST /api/v1/compliance/brief
• GET /api/v1/compliance/summary
• GET /api/v1/workflows/templates
• GET /api/v1/workflows/templates/{workflow_id}
• GET /api/v1/ops/risk-summary

How To Run

From the repository root:

powershell -ExecutionPolicy Bypass -File .\run-project.ps1 p1

Project keys:

• p1 -> AstroMarine on 8001
• p2 -> PolarSynth on 8002
• p3 -> CryptoNova on 8003
• p4 -> DeepGenome on 8004

Optional reload mode:

powershell -ExecutionPolicy Bypass -File .\run-project.ps1 p3 -Reload

Repository Notes

• Each project is intentionally self-contained.
• Each project has its own main.py, enterprise_core.py, and requirements.txt.
• The root run-project.ps1 script standardizes local startup.
• The root .gitignore excludes local virtualenvs, temporary tooling, logs, and database files.

Verification Status

This repo has been verified at multiple levels during the build pass:

• all four projects compile with python -m py_compile
• P1 operator copilot routes were exercised end-to-end
• P4 compliance/workflow routes were exercised end-to-end
• P2 and P3 feature slices were implemented and compile cleanly

Best Way To Read This Portfolio

If you are reviewing this as a hiring manager or product leader:

1. Start with P2 and P4 for the clearest publishing, workflow, and product-judgment signals.
2. Review P1 for systems thinking, AI-assisted operations, and decision support.
3. Review P3 for AI/ML product maturity, research workflow design, and experimentation framing.

Submission Framing

This bundle is best presented as:

• 4 flagship products showing breadth of product thinking
• 4 complementary case studies showing judgment and prioritization
• 1 portfolio system showing practical AI, workflow automation, and execution discipline

License / Intent

This repository is being used as a portfolio and product strategy showcase.