AI Tutorials
AI Agent Skills, Explained: Skill Servers, Sandboxed Tool Orchestration, and Portable Capabilities
Skills are becoming the portable, shareable unit of agent capability. Here's what an AI agent skill actually is, how it differs from a tool or an MCP server, and how teams share them.
07/14/2026 · AI Tutorials · 8 min read
Remote MCP and Managed Agents, Explained: How the MCP-as-Infrastructure Stack Works
Remote MCP just turned the Model Context Protocol from a local desktop feature into an infrastructure category. Here's what remote MCP and managed agents mean, and when to host vs. run local.
07/09/2026 · AI Tutorials · 8 min read
Stop Vibe-Checking Your Agents: Eval-Driven Prompt Optimization with DSPy
Agent prompt evaluation turns prompt tuning from guesswork into engineering. Here's how to build an eval set, use DSPy to optimize prompts against it, and regression-test your agents every time a new model drops.
07/07/2026 · AI Tutorials · 10 min read
Agent Skills, Explained: The Portable Format for Coding Agents
Agent skills let you package a capability once and reuse it across every coding agent. Here's what they are, why portable formats like QUALITY.md are emerging, and how an agent actually uses one.
07/05/2026 · AI Tutorials · 6 min read
What Is MCP Cloud? Hosting the Model Context Protocol in 2026
Self-hosting MCP servers is fiddly, and a new "MCP cloud" category is forming to fix that. Here's what MCP cloud actually means, when managed hosting beats doing it yourself, and how to get an MCP server running for your agents.
07/04/2026 · AI Tutorials · 8 min read
ZCode vs Claude Code: Z.ai's GLM-5.2 Coding Agent, Compared and Set Up
Z.ai just shipped ZCode, a first-party coding agent built around its open-weight GLM-5.2 model. Here's how it compares to Claude Code, when it fits, and how to get it running.
07/02/2026 · AI Tutorials · 9 min read
OpenClaw Mobile: How to Set It Up on Android and iOS (v2026.6.11 Guide)
OpenClaw is finally on Android and iOS. Here's how to set it up via the OpenClaw Gateway, which messaging channels it supports, and what the v2026.6.11 reliability release fixes.
07/02/2026 · AI Tutorials · 6 min read
Prompt Injection Defense: A Builder's Guide to Securing AI Agents
Prompt injection defense is now a shipping requirement for anyone connecting an LLM to tools. Here is what the attack really is, why it can't be patched away, and the defense-in-depth layers to ship before your agent touches anything that matters.
06/30/2026 · AI Tutorials · 8 min read
The Agent Skills Standard Explained — and How to Write Your First Skill
Agent-skill repos are gaining tens of thousands of stars in weeks as a shared format crystallizes. Here's what the Agent Skills standard actually standardizes — and a grounded, step-by-step walkthrough to writing your first skill.
06/25/2026 · AI Tutorials · 9 min read
Agent Skills Best Practices: How to Structure Them (and the Mistakes to Avoid)
Most agent-skill failures aren't a model problem — they're a structure problem. Here are agent skills best practices: when to write a skill, how to scope and describe it, and how to benchmark whether it actually helps on your own tooling.
06/23/2026 · AI Tutorials · 9 min read
How to Run GLM-5.2 Locally: Setup, Hardware, and How It Stacks Up for Agents
GLM-5.2 is the strongest text-only open-weights LLM right now, and it's built for long-horizon agent work. Here's how to run GLM-5.2 locally, the hardware you actually need, and an honest read on whether it belongs in your agent stack.
06/23/2026 · AI Tutorials · 11 min read
How to Benchmark an LLM's Agentic Tool Use on Your Own Stack
Public leaderboards won't tell you if a model works with your tools. Here's a practical, repeatable methodology to benchmark agentic tool use on your own stack — and the failure modes to watch.
06/20/2026 · AI Tutorials · 9 min read
The A2A Protocol Explained: How Agent-to-Agent Interoperability Actually Works
A practitioner-grade guide to the A2A protocol explained from the ground up — what Agent2Agent is, how Agent Cards and JSON-RPC let agents from different vendors talk, how A2A differs from MCP, and whether adoption is real yet.
06/20/2026 · AI Tutorials · 9 min read
How to Set Up a Local Coding Agent (and Cut Your AI Coding Costs)
A practical local coding agent setup guide — hardware, model choices, editor integration, and an honest local-vs-cloud cost and quality tradeoff, written for developers who want to own more of their stack.
06/17/2026 · AI Tutorials · 9 min read
Building Reliable AI Agents: A 2026 Framework Guide
Reliable AI agents are an architecture choice, not a prompt tweak. Compare Apache Burr, OpenEnv, and datasette-agent and learn how to pick a framework for production.
06/14/2026 · AI Tutorials · 8 min read
Apache Burr vs LangGraph: Building Reliable AI Agents That Don't Fall Over
Apache Burr is gaining traction for building reliable AI agents. Here's how its state-machine model compares to LangGraph, when to choose each, and how to build a reliable agent quickly.
06/14/2026 · AI Tutorials · 9 min read
How to Build Reliable AI Agents in 2026: State Machines, RL Environments, and Human-in-the-Loop Tooling
A practical guide to how to build reliable AI agents in 2026 — treating reliability as an architecture problem you solve with state machines, standardized RL environments, and human-in-the-loop tooling, not just better prompts.
06/13/2026 · AI Tutorials · 8 min read
How to Choose a Reliable AI Agent Framework: Apache Burr vs LangGraph
A reliable AI agent framework is the difference between a demo and a production system. Here's a builder's comparison of Apache Burr and LangGraph — how each models state, where each wins, and how to pick.
06/13/2026 · AI Tutorials · 9 min read
Agent Skills and AGENTS.md: How to Organize What Your AI Agent Can Do
Agent skills are converging on a shared convention built around AGENTS.md and agent-optimized CLIs. Here's what that means, why how you organize skills changes runtime behavior, and how to structure agent tooling so the right capability fires at the right time.
06/13/2026 · AI Tutorials · 8 min read
Building a Reliable AI Agent Framework in 2026: Apache Burr and the Agent-Native Tooling Stack
Choosing a reliable AI agent framework now matters more than raw capability. Here's how Apache Burr's state-machine model approaches reliability, how it compares to LangGraph, and where agent-native tooling fits.
06/13/2026 · AI Tutorials · 10 min read
DiffusionGemma Explained: Google's 4x Faster Local AI Model
Google DeepMind's DiffusionGemma is an open model that runs local AI roughly 4x faster. Here's how diffusion language models work, where the speedup comes from, and how to run it locally.
06/13/2026 · AI Tutorials · 8 min read
How to Build a Reliable Browser Automation Agent (2026 Guide)
A browser automation agent can click, type, and scrape like a human — but reliability, not intelligence, is what breaks in production. Here's how to build and evaluate one that survives a site redesign.
06/09/2026 · AI Tutorials · 9 min read
AI Browser Automation as Code: How to Build Browser Agents That Don't Break
AI browser automation promises agents that click through any website on command — but in production they go flaky fast. Here's why, and how the "automation as code" pattern makes browser agents reliable enough to ship.
06/09/2026 · AI Tutorials · 10 min read
How to Reduce LLM Token Costs: A Practical Playbook for AI Coding Agents
AI coding bills are spiking — some teams are even capping tool usage. Here's how to reduce LLM token costs without slowing your engineers down, from measuring spend to right-sizing models and trimming context.
06/08/2026 · AI Tutorials · 9 min read
LLM Token Cost Optimization: How to Cut Your AI Agent Bill Without Cutting Quality
LLM token cost optimization is now the dominant operational story for teams running AI agents. Here's a practical playbook — caching, context trimming, model routing, batching, and budgets — to cut your token bill without gutting quality.
06/08/2026 · AI Tutorials · 9 min read
Designing Tools for AI Agents: How to Build CLIs and APIs Agents Can Actually Use
Designing tools for AI agents is becoming its own discipline. Drawing on the agent-optimized hf CLI, datasette-agent-edit, and a 150-line build, here are the concrete patterns that make a CLI or API agent-friendly.
06/08/2026 · AI Tutorials · 8 min read
Agent Skills Explained: Building Reusable Claude Code Skills (With a TDD Example)
Stop re-prompting your coding agent from scratch. "Skills" are the unit of reuse for agents — here's the anatomy of a skill, why it beats one-off prompting, and a worked test-driven development example you can adapt.
06/07/2026 · AI Tutorials · 10 min read
How to Reduce AI Coding Agent Costs Without Slowing Your Team Down
AI coding agent bills have become a board-level line item, and some companies are already capping usage. Here are the levers — model routing, caching, scoped budgets, and observability — that cut spend without killing developer velocity.
06/07/2026 · AI Tutorials · 9 min read
How to Reduce AI Agent Token Costs Without Killing Quality
AI agent token bills are spiking and even big teams are capping usage. Here are practical, durable tactics to cut agent token costs while keeping output quality high.
06/07/2026 · AI Tutorials · 9 min read
How to Protect AI Agents From Prompt Injection With OpenAI Lockdown Mode
OpenAI's new Lockdown Mode hardens agents against prompt injection and data exfiltration. Here's what it defends against and how to build a layered protection posture around it.
06/07/2026 · AI Tutorials · 8 min read
Cutting AI Coding Agent Costs: Token Bills, Usage Caps, and Cloud Execution
With Uber capping Claude Code and the "token bill" going mainstream, cost — not capability — is now the real barrier to coding-agent adoption. Here's a practical playbook to measure, cut, and govern agent spend.
06/07/2026 · AI Tutorials · 9 min read
How to Reduce AI Token Costs: A Practical Playbook for Agent Teams
The token bill is coming due. Here's a practical, vendor-neutral playbook to reduce AI token costs for agents and dev teams — without gutting quality.
06/07/2026 · AI Tutorials · 10 min read
How to Build Agent Skills: A Practitioner's Guide
Agent skills are how you turn a general-purpose AI agent into a reliable specialist. Here's a practitioner's guide to scoping, writing, and testing agent skills — with the vocabulary (harness vs. scaffold) and patterns that actually hold up.
06/06/2026 · AI Tutorials · 9 min read
How to Cut AI Agent Token Costs: A 2026 Playbook for Coding Agents
AI agent and Claude Code bills have become a real budget line, and some teams are now rate-limiting usage. Here are the levers that actually cut token spend — MCP design, context hygiene, caching, model routing, and usage caps.
06/06/2026 · AI Tutorials · 9 min read
How to Build an Agent Skill for Test-Driven Development
Learn to package test-driven development as a reusable agent skill for TDD, so your coding agent writes a failing test first, implements to green, and refactors — on every run.
06/06/2026 · AI Tutorials · 8 min read
How to Reduce AI Agent Token Costs: 9 Tactics That Actually Work
AI agent token costs are climbing fast enough that enterprises are capping usage. Here are nine concrete tactics to reduce AI agent token costs without crippling capability.
06/06/2026 · AI Tutorials · 8 min read
How to Write an AI Agent Skill: A Practical Guide for 2026
Learn how to write an AI agent skill that routes reliably and stays maintainable — from naming and descriptions to scoping, progressive disclosure, and test-driven development.
06/06/2026 · AI Tutorials · 7 min read
Gemma 4 12B: How to Run Google's New Open Model on a 16GB Laptop
Google's Gemma 4 12B is an open-weight model sized to run on an everyday laptop with 16GB of RAM. Here's what makes it notable and how to run Gemma 4 12B locally, step by step.
06/05/2026 · AI Tutorials · 8 min read
How to Run Claude Code in the Cloud — and Cut Your Coding-Agent Costs
Teams are moving Claude Code off localhost and into the cloud to tame runaway agent bills. Here's how to run coding agents in the cloud and the practical levers that actually control the cost.
06/05/2026 · AI Tutorials · 9 min read
How to Run Gemma 4 Locally on a 16GB Laptop: A Practical Setup Guide
Google's Gemma 4 12B is an open model sized to run on a 16GB laptop. Here's how to run Gemma 4 locally — the real requirements, step-by-step setup, and an honest look at how it trades off against Llama and Mistral.
06/05/2026 · AI Tutorials · 7 min read
How to Run a Local LLM for Coding on a 16GB Laptop
A wave of compact, open-weight models just made on-device coding realistic on an ordinary laptop. Here's how to check your hardware, pick a model, and get a local coding LLM running — no GPU rig required.
06/05/2026 · AI Tutorials · 8 min read
Run a Capable LLM on Your Laptop in 2026: Gemma 4, Mellum2 & MAI
Three local-first model launches in one week make "run a useful model on a normal laptop" finally real. Here's what runs on 16GB of RAM, which model to pick, and how to get started.
06/04/2026 · AI Tutorials · 10 min read
SEO for AI Search: How to Show Up in Google AI Mode (2026 Playbook)
Google AI Mode is reshaping how people search. Here's a practical 2026 playbook to structure content, earn AI citations, and stay visible when search returns answers instead of links.
06/04/2026 · AI Tutorials · 8 min read
How to Control AI Coding-Agent Costs (Before You Blow the Budget)
AI coding tool cost can spike fast — Uber hit its budget in four months. Here's how to forecast, cap, and attribute agentic-coding spend before it gets away from you.
06/04/2026 · AI Tutorials · 8 min read
Run a Capable LLM on Your Laptop in 2026: Gemma 4 and Local Agents
You can now run an LLM locally on an everyday laptop. With Google's Gemma 4 sized for 16GB machines and new open models for coding and computer use, here's how to set up a capable local AI agent.
06/04/2026 · AI Tutorials · 10 min read
What AI Coding Agents Actually Cost — and How to Keep the Bill Under Control
Usage-based pricing makes AI coding agents powerful but unpredictable — even Uber blew through its budget in four months. Here's a practical guide to AI coding cost management: where spend leaks and which controls actually work.
06/03/2026 · AI Tutorials · 9 min read
How to Secure AI Agents: A Practical Guide to Guardrails, Supply Chain, and Prompt Injection
Learn how to secure AI agents with a step-by-step playbook covering guardrails, supply-chain risk, and prompt injection — grounded in real 2026 incidents and the controls that stop them.
06/02/2026 · AI Tutorials · 9 min read
How to Run OpenAI Codex on AWS: A 2026 Setup Guide
A practical setup guide for running OpenAI Codex on AWS after the June 2026 launch — enabling model access, scoping IAM, and wiring Codex into an agentic coding workflow.
06/02/2026 · AI Tutorials · 7 min read
How to Secure AI Agents: Defending Against Prompt Injection and Supply-Chain Attacks
Three agent-security incidents hit in one week of May 2026. Here are the two attack surfaces that matter — prompt injection and the supply chain — and a practical checklist to harden your agents.
05/31/2026 · AI Tutorials · 8 min read
Claude Code Skills and Dynamic Workflows: The Power-User Setup Guide
A practical, opinionated walkthrough of Claude Code skills, dynamic workflows, subagents, plugins, MCPs, and CLAUDE.md — the daily-driver setup the docs gloss over.
05/29/2026 · AI Tutorials · 7 min read