AI Workflow Reliability - public-safe automation first-slice snapshot.
I build AI workflow prototypes where Claude, OpenAI, n8n, Make, and API handoffs are one part of a traceable system, not the source of truth. The first slice maps inputs, the model step, validation rules, fallback/review routing, and operator-readable handoff notes.
Useful for:
API/webhook automation with messy inputs
n8n, Make, or Zapier reliability cleanup
LLM outputs that need schema checks and audit trails
small discovery milestones before a larger build
Public-safe note: this is a portfolio snapshot of my delivery approach, not a private client screenshot.
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PackBridge - Shopify B2B pack-unit normalization app.
Public repo: https://github.com/morgan-coded/packbridge
This project shows API/webhook reliability work: merchant-defined pack-unit rules, CSV rule import, Prisma/PostgreSQL persistence, Shopify webhooks, HMAC-signed outbound delivery, and job-level audit history for clean handoffs.
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Script Sentinel - Shopify Plus migration-risk audit app.
Public repo: https://github.com/morgan-coded/script-sentinel
This project shows the Shopify audit lane: merchant-paste script intake, deterministic Ruby-source classification, privacy-scrubbed fixtures, PDF audit reports, regression/parity surfaces, and honest migration-risk reporting for Scripts-to-Functions work.
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Chrome Review - TypeScript static analyzer for Chrome MV3 extensions.
Public repo: https://github.com/morgan-coded/chrome-review
This is a developer-tooling project for evidence-based extension review: manifest parsing, source entry-point tracing, permission-to-usage checks, remote-code detection, source-map honesty, fixtures, scorecards, and release runbooks.