Architecture.
AI Systems.
Growth Engineering.
Deep technical content on building sovereign infrastructure, private AI agents, PostgreSQL at scale, and full-stack systems design.
< EXPLORE_KNOWLEDGE />What I Write About
< INFRASTRUCTURE />
Self-hosted alternatives to SaaS, Coolify deployment guides, n8n automation patterns, PostgreSQL schema design, and Docker production setups.
< AI_SYSTEMS />
Private LLM deployment, RAG pipelines with pgvector, LangChain vs bare API patterns, and AI agents that run on your own hardware.
< GROWTH_ENGINEERING />
Server-side conversion tracking, CAPI setup, attribution modeling, CAC/LTV calculators, and funnel analytics that survive iOS14.
Topic Index
Sovereign Infrastructure
Why self-hosted beats SaaS past $1M revenue. Coolify, n8n, Supabase, and the stack for infrastructure independence.
Private AI Agents
Running Llama, Mistral, and custom fine-tunes on your own VPS. No OpenAI data risk. Full control.
PostgreSQL Deep Dives
JSONB vs relational, pgvector for semantic search, Row-Level Security for multi-tenancy, and asyncpg patterns.
Server-Side Tracking
Facebook CAPI, Google Enhanced Conversions, and TikTok Events API. Attribution without cookies or pixels.
FastAPI Patterns
Async architecture, dependency injection, Pydantic v2, background tasks, and deployment on Coolify.
Astro & Frontend
SSR with Astro, React islands, Tailwind design systems, and building Lighthouse 100 marketing sites.
Calculator Architecture
ROAS, CAC, LTV, cohort analysis. How I build interactive financial tools that capture leads and educate buyers.
Security & DevOps
SSH hardening, Docker secrets, PostgreSQL RLS, and zero-trust architecture for agencies handling client data.
Featured: The Sovereign Stack Guide
The most common question I get after a strategy call: "What would you actually build for us?" The answer is almost always the same stack, adapted to the problem.
The Core Stack
Backend: Python 3.12 + FastAPI + asyncpg + PostgreSQL 16. This handles everything from lead capture to AI agent orchestration to billing webhooks. One language, one database, full async.
Automation: Self-hosted n8n on a $10/mo VPS (or shared with the main server). Replaces Zapier entirely. Handles CRM syncs, email sequences, Slack notifications, and webhook relay without per-task fees.
Frontend: Astro SSR for marketing pages, React for dashboards and interactive tools. Tailwind for design system. Zero client-side JavaScript unless needed.
Infra: Coolify on a Hetzner or Digital Ocean VPS. Git-push deploys. Auto SSL. Docker Compose per service. Total cost: $50–$200/mo depending on scale, vs. $3,000–$5,000/mo in SaaS subscriptions.
AI: Ollama + pgvector for private LLM operations. OpenAI API only for non-sensitive tasks. Fine-tuned Llama for client-specific workflows.
Built From Real Projects, Not Tutorials
Every post on this blog comes from a system I have actually deployed in production. No tutorial repos. No "example" codebases. If I write about a PostgreSQL optimization, it is because I ran EXPLAIN ANALYZE on a 50M-row table and found the winning index.
I have built systems for media agencies, solar installation companies, law firms, e-commerce brands, and SaaS startups. The patterns repeat. The mistakes repeat. The solutions I write about are the ones that closed the gap between "it works in dev" and "it works at scale."
Want This Applied to Your Stack?
Reading about architecture is useful. Having it built for you is better.
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RSSVector Search in Postgres: Preparing Your Data for AI
You do not need a dedicated vector database to build AI features. I use pgvector inside PostgreSQL to store embeddings right next to relational data.
Deploy Private LLMs on Your Own Hardware
Run Llama, Mistral, and custom fine-tunes without sending data to OpenAI. Full guide with Ollama + pgvector.
Anti-Pattern: Using Zapier for Core Business Logic
Webhook reliability on commercial iPaaS platforms sits around 97%. That 3% failure rate means lost leads. Business logic belongs in your backend.