Topics

The site clustered by pillar — not a CMS, just the articles that already exist, grouped so you can enter from a theme instead of the homepage list.

Fundamentals (11)

What an AI agent is, how the loop works, and how it differs from a chatbot.

How Do AI Agents Work? — Perceive → reason → plan → act → feedback, with the five core components.
How Do AI Agents Work for Beginners? — Plain-English goals, tools, memory, and autonomous action — no jargon.
What Is an AI Agent? — Plain-English definition: model + tools + loop + memory, with 2026 examples.
AI Agent Guide 2026 — Types, architecture, memory, security, and how to run agents locally.
AI Agent Beginner Guide — A five-minute starting point for non-technical readers.
AI Agent vs Chatbot — Seven architectural differences, with a real-world comparison.
What Can AI Agents Do? — 50+ examples across coding, customer service, healthcare, and more.
How AI Agents Learn to Use Tools — MidTool: tool use wants its own mid-training stage, not a last-minute fine-tune.
How Computer-Use Agents Learn by Watching — Task Model Induction: learn how a task is actually done from messy screen-and-click traces.
How Reasoning Models Decide How Much to Think — NoThink / Short / Long routing can cut token use without losing accuracy.
AI Agent Memory Management — Managed Agents, “dreaming,” and memory that persists across sessions.

Build a loop, run a model locally, or estimate what a run will cost.

Create Your Own AI Agent — Step-by-step Python guide covering LangGraph, CrewAI, and the OpenAI Agents SDK.
AI Agent Tutorial — A bounded reason-act-observe tool loop in Python.
Build an AI Agent with Claude — Anthropic API, tool use, and a safe Python loop.
LangGraph Tutorial — State, checkpoints, tools, and human-in-the-loop deployment.
Create Your Own AI Agent for Free — Local Ollama + an open model, with honest cost notes.
DeepSeek Harness Explained — Hands-on npm commands for DeepSeek’s open-source agent runtime.
Run Qwen3.8-27B Locally — Mac (MLX) or a single consumer GPU (GGUF / vLLM).
Hugging Face Guide — What the hub is, how to download models, and how to run them locally.
AI Agent Cost Calculator — Pick a model and task volume; estimate monthly API spend vs local $0.
AI Agent Cost Tracking — Event schema for model, tool, memory, retry, and successful-task costs.
AI Agent Cost Control — Hard budgets, model routing, context reduction, and retry limits.
AI Agent Token Budget Calculator — Tokens and model spend per run and per month, plus a hard cap.
AI Agent Memory Cost Calculator — Embedding writes, retention, dimensions, and storage pricing.

Pick a runtime, compare agent SDKs, and see how developers actually use them.

How AI Systems Route Queries to Models — Pandora's Box routing: spend compute deciding who should answer, or just ask.
AI Agent Framework Comparison — LangGraph, CrewAI, OpenAI Agents SDK, Pydantic AI, Microsoft Agent Framework.
Best AI Agent Framework 2026 — Ranked by production control, prototype speed, typed Python, and Azure/.NET fit.
DeepSeek Harness — DeepSeek’s first agent product: plugins, an open eval harness, vs other runtimes.
AI Agents for Developers — Coding roles, tools, benchmarks, and workflow patterns.

Sandbox escapes, risky tools, and how to evaluate agent behavior.

AI Agent Security — How agents escape sandboxes — the OpenAI / Hugging Face case, and defenses.
How to Put AI Agents on a Leash — Microsoft's CISO playbook for governed agent enablement — identity, permissions, containerization, monitoring.
Are AI Agents Safe? — Six real risks, permissions, approvals, and operational controls.
How to Measure If an AI Agent Works — Treat eval as a quality-gate loop, not a one-time score you can tune to.
How AI Agents Remember and Reuse Skills — Naive skill libraries often hurt; subtask-level, text skills gated by a utility score transfer.
AI Agent Safety Benchmark Comparison — AgentDojo, ToolEmu, AgentHarm, and CyberSecEval — questions, metrics, limits.
Multi-Agent AI Behavior — Emergence, deception, and trust when agents work as a team.

Launches, acquisitions, incidents, and hardware that change how agents ship.

OpenAI RubyGems Incident — GemStuffer: OpenAI's test agents overwhelmed RubyGems in May 2026, two months before Hugging Face.
Meta Muse — Meta's personal AI agent: Secure VM, Sentinel, $0/$20/$100, and the privacy catch.
Jacob Coxon Anthropic Whistleblower — Why he quit weeks before the IPO, and why alignment lead Evan Hubinger backed >10% extinction risk.
OpenAI Astra — Persistent agents, a Critical safety pause, and a 20% monitoring tax.
Hugging Face Incident — 1,200 escaped agents, a self-organized swarm, and zero who told a human.
NVIDIA Buys Hugging Face — The reported $12.9B deal, and what it means for the open-source hub.
Hugging Face Microduck — A $399 open-source robot duck trained with sim-to-real RL.
Perplexity Portable Computer — A fully local AI agent on NVIDIA hardware: zero token cost on device.
Ajax Model — PewDiePie's uncensored Qwen3.5-9B fine-tune: what abliteration removes, and the ban it earned.
Qwen3.8-27B Uncensored — An abliterated research build: who it’s for, and why most users shouldn’t.

Hands-on looks at models and inference gateways, with the numbers that matter.

Best AI Agents for Coding — Five tested picks — cloud, open-weight, and local — with criteria and pricing.
GLM-5.3 Review — Zhipu’s open-source coding model: benchmarks and GLM Coding Plan testing.
Ornith-1.5 Review — DeepReinforce’s 9B/35B/397B family and claimed Opus 4.8 parity on coding.
OrcaRouter Review — OpenAI-compatible gateway across 200+ models with zero token markup.
Who Is Behind Ox Alpha? — OpenRouter stealth model: fingerprint evidence and a retracted score.