~/temisangerrard/writing $ ▋

Writing

Technical articles from production AI systems. No tutorials. No hype. Decisions, rationale, and what broke.

4 Articles

5 Layers Covered

444 Commits Behind Every Word

2026-03-21

~8 min read

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ARCHITECTURE + CASE STUDY

How I Built an Autonomous AI Betting System on Base Mainnet — The 5 Layers That Made It Production-Safe

444 commits, 4 production apps, real USDC on Base mainnet, autonomous bots with no human in the loop. Here's what breaks when agents are live, stateful, and holding other people's money — and the five infrastructure layers that don't appear in any LLM tutorial.

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2026-03-28

~6 min read

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AGENTS + GTM AUTOMATION

How I Built an Autonomous GTM Research Team with LangChain Deep Agents

45 minutes of setup, 15 hours/week saved, 2 minutes of human input. How I automated competitive intelligence, backlink prospecting, content strategy, and partnership research — then documented what broke.

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2026-03-31

~7 min read

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INFRASTRUCTURE + COST BREAKDOWN

The Real Cost of Running AI Products in 2026: My $111 Invoice Breakdown

A real Fly.io invoice for Arena Play — $110.75/month to run a production AI product on Base mainnet. Redis is 60% of infra cost. Compute is 25%. The gap between "talking about AI" and "running AI" is visible in your billing dashboard.

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2026-04-03

~9 min read

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AI PRODUCT + CASE STUDY

How I Built a Deterministic-First AI Meal Engine in 13 Days

303 commits, 486 TypeScript files, 28 database migrations. The architecture where the app decides what to cook and the LLM only writes the recipe. Cultural food knowledge encoded deterministically. Defensive parsing as a survival skill. 38% of commits are production hardening nobody writes articles about.

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