AI terms, explained by comparison

Human in the loop means a person stays close enough to an AI system's work to check it, correct it, and decide when it can run on its own. Full automation removes that checkpoint entirely. Neither is universally right, the question is always which specific steps in a process still need a person, and which don't.

This is the actual method behind everything written here, not a tagline. Any build worth trusting starts by mapping exactly where a human needs to stay in the loop and where the work is safe to hand fully to an agent or automation.

An assistant responds to what you ask it, one request at a time, inside a conversation you're actively driving. An agent is given a goal and takes multiple steps toward it on its own, using tools, deciding what to do next, and checking in only when it hits a decision a human actually needs to make.

Most teams start with assistant-style use (asking Claude or Copilot questions) and only later move to agent-style use (Claude doing a multi-step task with a defined goal). Jumping straight to agents without the assistant habit already built rarely works. That order matters more than the tooling does.

Claude Skills are packaged instructions, examples, and sometimes files that teach Claude how to do a specific task the way your team actually does it, so it doesn't need re-explaining every time. MCP (Model Context Protocol) is different: it's how Claude connects to outside tools and data, like a calendar, a CRM, or a codebase.

Put simply: Skills teach Claude your team's know-how. MCP gives Claude access to your team's actual systems. Most real implementations use both, a Skill for how to do the work, MCP connectors for where the work's data lives.

Most teams under 20-30 people are well served by Claude Team. Claude Enterprise matters when there's a specific governance requirement, SSO, audit logs, data residency, not because of headcount alone.

Full breakdown →

An LLM, a large language model, is the underlying engine, trained on huge amounts of text to predict and generate language. Claude is an LLM. A chatbot is one specific way of putting an LLM in front of a person: a chat window you type into. The LLM can also power a lot of things that don't look like a chat window at all, an agent taking action in your systems, a search feature, a document reviewer.

Worth knowing going in: when adoption stalls, it's often because a team only ever met the chatbot version and never saw what the same LLM can do wired into their actual tools. That gap is worth naming before anybody blames the tool.

An app is something a person opens and clicks through. An API, application programming interface, is how two pieces of software talk to each other directly, no person clicking anything. When Claude reads a support ticket, drafts a reply, and logs it in your CRM without anyone opening a chat window, that's the Claude API doing the work behind the scenes, not the Claude app.

This is usually the real fork in a build: does this need a person typing into a chat window, or does it need two systems talking to each other automatically. Most of what actually saves a team time is the second one.

Claude chat is one conversation at a time, you ask, Claude answers, you keep going back and forth. Cowork is built for a task that needs several steps and real work product at the end, research, drafts, files, something you hand off rather than read and close.

A useful rule of thumb: if you'd normally ask a smart colleague a quick question, that's chat. If you'd normally hand a colleague a whole task and check back later, that's Cowork. Most teams start in chat because it's the obvious front door, and only find Cowork once they've hit the ceiling of what one back-and-forth conversation can carry.

Both are AI agents built on a large language model, not the model itself. Copilot's edge is where it already lives: inside Word, Excel, Outlook, and Teams, so a team already living in Microsoft 365 gets it with the least friction. Claude's edge is longer, more careful reasoning and Claude Code and Cowork, built for real multi-step work rather than an assist-as-you-type layer over an existing document.

Most teams do not pick one and drop the other. The real question is which tasks belong to which: quick edits inside a document a team already lives in usually go to Copilot, and anything that needs judgment across several steps, research, a build, a governance review, usually goes to Claude.