AI Systems Architecture — Case Studies

Case Studies

Every project here is a different layer of the same problem: making AI reliable in production. The coordination infrastructure manages the agents. The analytics intelligence makes data actionable without dashboards. The automation pipeline eliminates the manual work between systems. The products — Prometheus, Prettify, ClientEngine — put that infrastructure in front of users who need outcomes, not tools. The layers build on each other, and each case study is a record of what it took to make one of them actually work.

All
AI Orchestration
Data Intelligence
AI Automation
AI Product
CTO & Technical Leadership
AI Startup
Claude API
MCP
Python
TypeScript
SQLite
tmux
Bash
BigQuery
GA4
n8n
Slack API
Cloud Functions
ETL
Gmail API
Cloudflare Workers
webhooks
Claude Haiku
Astro
React
Cloudflare Pages
Supabase
TipTap
TipTap 3.x
docx library
GCP
Cloudflare
Stripe API
Node.js
Twilio SMS

Multi-Agent Coordination System

AI Orchestration

Context architecture and failure pattern recognition for agentic AI: MCP servers, CLI orchestration, tmux-based session management, SQLite coordination databases, and cross-session task delegation. Complex debugging: 6+ hours → 2 hours.

Claude API
MCP
Python
TypeScript
SQLite
tmux
Bash
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Slack Analytics Intelligence

Data Intelligence

Analytics data from GA4, Facebook Pixel, and Microsoft Clarity flows through BigQuery ETL into Slack channels. One architect built the intelligence layer that an entire organization queries daily — no dashboards, no analyst queue, no context switching.

BigQuery
GA4
n8n
Slack API
Python
Cloud Functions
ETL
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Enterprise Automation Pipeline

AI Automation

End-to-end automation infrastructure connecting email intelligence, webhook orchestration, and LLM-powered classification. 10+ n8n workflows coordinate across Slack, Gmail, calendar, and CRM — turning manual processes into autonomous pipelines.

n8n
Claude API
Slack API
Gmail API
Cloudflare Workers
Python
webhooks
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Prometheus Careers

AI Product

AI career coaching that starts with the job, not the resume. Output is always f(career_data, job_description) — the JD is the anchor, career data is provenance-tracked against it. Full-stack SaaS on Claude API with a free tier powered by open LLM APIs.

Claude API
Claude Haiku
Astro
React
TypeScript
Cloudflare Pages
Supabase
TipTap
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Prettify AI

AI Product

LLM output comes out as markdown. Prettify turns it into a document a human would actually hand to another human — themed PDFs via browser print, ATS-optimized DOCX via the docx library. Zero server-side AI required. Shares editor DNA with Prometheus Careers.

Astro
React
TipTap 3.x
TypeScript
Cloudflare Pages
docx library
Supabase
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Masumi Hayashi Foundation

CTO & Technical Leadership

Fractional CTO for nonprofit preserving globally renowned Japanese-American artist legacy. Built the entire technical platform — 523-page site serving 30K+ annual visitors, Stripe donation pipeline, analytics infrastructure filtering 92% bot traffic, and museum partnership integrations worldwide.

React
Astro
GCP
Cloudflare
Stripe API
BigQuery
Python
Node.js
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ClientEngine AI

AI Startup

Service businesses lose deals in the follow-up gap — the owner is on a job site when the lead calls. An n8n + Claude qualification agent responds in under 60 seconds, qualifies through conversation, and books appointments before the competitor answers. A 3-person team at 10-person capacity.

Claude API
n8n
Astro
React
TypeScript
Cloudflare
Twilio SMS
Read Case Study