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Claude

Claude

Anthropic’s Claude: agents, Claude Code, and the architecture behind them. Plans, limits, and what it is genuinely better at.

20 entries

What to Learn About AI Agents

You drive every day and have never rebuilt an engine. Same with agents. Three things are worth learning, none about the model.

What Is AI Agent Context? Why Your AI Sounds Like Everyone Else

An agent with no context does not write like you. It writes like the average of everyone, because that is the only thing it was given. What context actually is, what belongs in it, and why generic output is a supply problem rather than a model problem.

What Do AI Agents Actually Cost? Reading the Bill

Cost isn't per agent, it's per run and per token. Which means the expensive line is rarely the thing you meant to automate. It's the small job you forgot is running eleven hundred times a day.

What Is an AI Agent Handoff? A Folder Isn't a Handoff

Work between agents doesn't flow downhill on its own. A handoff needs a named receiver and a signal, or the finished thing sits in a place nobody is watching. What a real handoff contains and how work goes missing without one.

What Are AI Agent Skills? The Third Time You Ask

A skill is a procedure an agent writes down once and reuses, instead of working the same job out from scratch every time. The third identical request is the signal. What a skill is, when to make one, and why it is not the same as a prompt you saved.

What Is a Knowledge Base for AI? Two Agents, Two Answers

When two agents answer the same question differently and both sound certain, the problem isn't the agents. It's that they read different things. What a knowledge base is, why a folder isn't one, and what it costs to skip.

What Is a Multi-Agent System? When One Agent Isn't Enough

One agent doing five jobs isn't efficient, it's understaffed. What a multi-agent system actually is, why it's a staffing decision rather than a technical one, and the signal that tells you it's time.

What Is MCP? How AI Agents Actually Reach Your Apps

A login is built for a person with hands, eyes and a screen. An agent has none of those. MCP is the standard socket that lets an agent plug into an app directly, and it's the difference between a tool and a screenshot.

Agent Instructions: What They Are, and Why an Agent Does Nothing Without Them

Instructions are where you say what you actually want done. Without them an agent has access to everything and no reason to touch any of it. Where instructions live, what they need to contain, and why having them does not by itself make something an agent.

Giving an Agent Hands: What Tools Actually Change

An agent with no tools can only talk. Tools are access to the calendar, the files, the inbox, whatever the job needs. It is the line between advice and action, and it is where the real risk lives.

Triggers: What Starts an Agent When You Don't

A trigger is what starts the work without you typing anything. It is the actual line between using a convenient tool and having something work for you, and it is the piece most people skip.

ITT: Instructions, Tools, Triggers

Nina's test for whether something is actually an agent. Three parts, about a minute to apply, and it tells you more than the product demo will.

Orchestration, Explained Without the Buzzword

Orchestration means someone or something decides which agent or tool handles which part of a job. Without it you have a pile of tools that don't talk to each other. The real shift is when the routing decision stops being yours.

Real AI Agent or Just a Wrapper?

Three questions settle it before you pay agent prices for prompt value. Calling something a wrapper isn't an insult, it's accurate.

What Is an AI Agent? Plainly, and Without the Hype

Not a chatbot, not an automation, not a clever prompt. What the word actually means, how it differs from the things it gets confused with, and the three-part test for checking a claim.

Netlify Rebuilt Its Platform Around AI Agents

Netlify shipped a major update built around AI agents: Functions redesigned for Agent Experience, an open benchmark called AXIS, and Claude Opus 4.8 live in its AI Gateway. Here's what it means if you're building with Claude.

Why Micromanaging Claude Holds You Back

Most people fail with Claude because they treat it like a vending machine for tiny tasks instead of giving it a real goal and letting it work.

The Most Common Mistakes People Make With Claude

The same mistake keeps showing up in room after room: something pretty that solves today's problem and nothing built to hold up past it.

How to Manage AI Agents Like an Executive

The real unlock in agent orchestration isn't directing every agent's every move, it's delegating the orchestration itself and reviewing outcomes like an executive.

Claude Team vs Enterprise, for a 15-person team

Most teams under 20 to 30 people don't need Enterprise. The real difference isn't the price, it's what happens to your data and who controls it. Here's how to actually decide.

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