How AI actually works
Long-form, fact-checked articles on AI: how the technology works, what it costs, and how the products compare.
Tool design layer - Brain Needs Hand: The Art of Tool Design for AI Agents
The model is the brain, the tool is the hand. Why the same model solved 18.0% or 10.3% of coding tasks depending only on its tools, and five rules for tools an agent can actually use: clear names, mistake-proof inputs, lean outputs, useful errors and a small toolbox.
The Architecture Behind Production-Ready Multi-Agent Systems
One hub agent, a few helper agents, and the plumbing that keeps them working with real users: the orchestration loop and its stop conditions, routing, context isolation, JSON contracts, state, parallel execution and failure handling.
How to Evaluate AI Agents Before Deploying Them in Production
Five clean demo runs prove very little. How to test an agent's accuracy, reliability, tool calls, security, latency and cost, why pass^k matters more than one success, and what LangSmith, Langfuse, RAGAS, DeepEval, Promptfoo, Inspect and OpenAI Evals are actually for.
Black October 2026: Worst Infrastructure Hacks Analyzed
A $6.3 billion Binance theft, two perfect-10 GitLab bugs, PHP2Shell, Node2Shell, leaked AI keys and a hosting company breached with keys it never changed. October's worst incidents, how attackers got in, and what to do.
7 Codex & Claude Tricks That Turn You Into a One-Person Engineering Team
Seven documented OpenAI Codex and Claude Code features, from AGENTS.md and plan mode to parallel worktrees, hooks and cross-agent code review, that help one developer plan, build, test and review like a small team.
The True Economics of Inference
FinOps strategies for cutting token costs by 60% in production: where an AI bill comes from, why long chats get expensive, and a worked example that tests the 60% instead of promising it.
Prompt Injection Is the #1 Enterprise AI Threat in 2026
OWASP ranks it first. NIST tested it. Microsoft patched a zero-click exploit caused by it. What prompt injection is, why it's worse when AI connects to enterprise systems, and layered defenses that help.
The Hidden Infrastructure Behind Every AI Answer
What happens between hitting "Send" and seeing an answer: tokenization, GPUs, data centers, energy, cooling and the money behind every response.
Grok Bot vs Instinct vs Dots vs Hermes Bot
The AI agent showdown of 2026: what four agent platforms can actually do, how they work, what they cost, and which one fits your needs.
Large Language Models vs Small Language Models
Which is better for production applications? Latency, hardware, accuracy, cost and hybrid routing: a practical guide to picking the right model for the job.
Open Weights vs Open Source AI
The technical and licensing differences that matter: what a model release really includes, what the OSI definition requires, and what you can legally ship.
7 Critical Risks of Deploying AI Agents Without Proper Guardrails
A chatbot that gets something wrong gives you a bad answer. An agent can act on it. Seven documented risks, from prompt injection to runaway costs, and the guardrails that address each.