The Journal · Essays
Written from
inside the work.
Long-form essays on building AI agents, Claude Code skills, multi-agent systems, and what actually breaks in production. New piece most weekdays. No SEO grist — only things I'd write if no one was reading.
- N° 01·2026-06-26·9 min read·AI builder Israel
Why Every AI Builder in Israel Needs a Voice DNA Document
If you're building AI agents in Israel and you don't have a Voice DNA document, your agents are speaking in a generic corporate accent that nobody trusts. Here's what it is, why it matters, and how to build one in a day.
- N° 02·2026-06-25·9 min read·Cloud Run
How I Use Cloud Run to Keep My AI Agents Running 24/7
A practitioner's walkthrough of why Cloud Run beats a VPS or Lambda for persistent AI agents — with real startup times, idle costs, and auto-scaling numbers from my own setup.
- N° 03·2026-06-23·9 min read·ai builder
What Is an AI Builder? The Role Nobody Had a Job Title For
AI builders write agents, ship prototypes, and own systems that run while they sleep. Here's what the role actually involves — from someone who does it every day.
- N° 04·2026-06-20·9 min read·ai research
Domain Expertise Is What Makes AI Agents Actually Work
Anthropic and DeepMind research confirms domain expertise with AI agents predicts success more than coding background. What four new papers found.
- N° 05·2026-06-18·9 min read·llm cost
How I Cut My LLM API Bill by 60% Without Touching My Agents
Real numbers from building production AI agents: the token-budget loops, model routing tricks, and cost audit habits that dropped my monthly LLM spend from $340 to $136.
- N° 06·2026-06-15·12 min read·geo
What Is Generative Engine Optimization (GEO)? A Builder's Field Guide
GEO is the practice of structuring content so LLMs like ChatGPT, Claude, Perplexity, and Gemini cite it as a source. Here's what actually moves the needle — from someone who rebuilt a whole site around it and built a CLI to score it.
- N° 07·2026-06-15·10 min read·claude code
Claude Code vs Cursor: How I Actually Choose Between Them
Claude Code is a terminal-native agent you delegate whole tasks to; Cursor is an AI-first editor you code inside. Here's the real difference, where each one wins, and how I use both on the same project.
- N° 08·2026-06-12·10 min read·multi agent systems
How I Built a Multi-Agent System That Runs Itself (And What Almost Broke It)
A practical breakdown of building a real multi-agent system in production — how I orchestrated seven AI agents, what coordination patterns I used, and the three failure modes nobody warns you about.
- N° 09·2026-06-11·10 min read·prompt caching
How Prompt Caching Actually Works (And Why Yours Isn't)
Prompt caching can cut LLM cost by ~90% on repeated context — but only if you understand the prefix-match rule. Here are the silent invalidators that quietly drop your cache hit rate to zero.
- N° 10·2026-06-11·11 min read·context engineering
Context Engineering for LLM Agents: The Real Bottleneck
Prompt engineering is about the words. Context engineering is about what's in the window when the model reads them. Here's how I budget, prune, and persist context for agents that run for hours.
- N° 11·2026-06-10·10 min read·mcp
What Is MCP? The Model Context Protocol, Explained by Someone Who Ships Servers
MCP is the USB-C of LLM tooling: one protocol that lets any model talk to any tool or data source. Here's what it is, why it exists, and how I think about building a server.
- N° 12·2026-06-10·11 min read·llm evals
How to Evaluate LLM Outputs: Evals and LLM-as-Judge in Practice
You can't ship an LLM feature you can't measure. Here's how I build evals — from a labeled set to LLM-as-judge graders — so prompt changes stop being vibes and start being numbers.
- N° 13·2026-06-09·8 min read·claude agents
How to Build a Claude AI Agent (The Way I Actually Did It)
A step-by-step guide to building a real Claude AI agent — from the agentic loop to Cloud Run deployment, written by someone who did it in production.
- N° 14·2026-05-31·9 min read·claude code
Claude Code Skills: What They Are and How I Use Them to Build AI Agents
A practical explainer of Claude Code skills — what they are, how they work, and real examples from my workspace including article-humanizer, geo-faq-architect, and llm-citation-tracker.
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