Six ways to buy AI agents, and what each one cannot hold.
This page is for someone with a budget and a shortlist: a founder, an ops lead, or the person who will own the thing afterwards. It places six categories, chatbot through operating system, on the questions that decide the bill and the blast radius. We do not score other products, because we have not measured them.
The four questions that separate the categories
Most comparison pages argue about features. Features move every quarter. These four questions do not, and the answers put a product in a category before you ever see a demo.
Who runs the model, and who pays for it? If the vendor buys the tokens, their margin and your usage are in tension, and your bill moves when their costs do. If you bring your own host, your AI spend stays one line you already understand.
What survives the session? A thread is not memory. Ask where a decision made on Tuesday lives on Friday, who can read it, and how you get it out. A category that answers this with the word history is a chat product.
What can it do without a person? Drafting is cheap to be wrong at. Publishing, sending, spending, and writing to a customer record are not. The category matters less than where the gate sits and whether it can be turned off by accident.
What do you own at the end? If your logic lives in a vendor canvas, leaving means rebuilding from screenshots. If it lives in a package and an exportable store, leaving is a migration.
The table
Six categories on the six things that decide cost and risk. The column for an operating system describes Agentik, because that is the one we built and can speak for.
| Question | A chatbot | An automation | A custom GPT | An agent builder | A framework | An operating system |
|---|---|---|---|---|---|---|
| What you install | Nothing. You open a window. | A trigger and a chain of steps | A prompt and some files, inside one host | Agents you configure in the vendor's canvas | A repository your engineers maintain | A compiled team of agents, on the host you already pay |
| Who runs the model | The chat vendor | Whichever key you pasted in | The host | Usually the vendor's key, sometimes yours | Your key | Your host. Agentik never buys tokens |
| What it remembers | The thread, and whatever the vendor keeps | The fields you mapped | That chat, plus the files you attached | The vendor's store | Whatever you build | Shared memory in the instance, per project |
| What it does alone | Nothing. It answers when asked | Exactly what you wired, every time | Answers inside its own window | Whatever you granted, often quite a lot | Whatever you allow in code | Drafts and prepares. It stops at the gate |
| Cost shape | A seat per person | Per task or per run | The host seat | Per seat plus usage, often both | Engineering time, then inference | A seat, from $19.99 once or $19 a month |
| Where it breaks | The constraint you stated last week is gone | The input changes shape and the run fails or, worse, does not | It cannot be a team, and it stays inside one vendor | The logic lives in their canvas, so leaving means rebuilding | Six months in, you have built a platform nobody staffed | Overkill for one person asking one question |
What each category is actually for
A chatbot is for thinking. One person, one question, one window. It is the cheapest way to get a draft and the most expensive way to run a process, because every constraint has to be restated by a human who remembers it.
An automation is for work where the decision is already made. Fixed trigger, fixed steps, fixed shape. When people bolt a model into the middle of one, they usually wanted judgment, and judgment is the part a workflow engine cannot hold.
A custom GPT is a prompt with files, living inside one host. It is a good way to package a personal habit. It is not a department: it cannot hand work to a second specialist, and it stops at the edge of the vendor that hosts it.
An agent builder gives you a canvas, connectors, and a place to run things on a schedule. The question to ask is not whether it works, because it usually does. Ask what you hold if you stop paying: the prompts, the connections, the memory, or a login.
A framework is the right answer when the behaviour you need is genuinely yours and an engineer owns it. The cost is rarely the first agent. It is the second year: auth, retries, evaluation, observability, and the person who maintains all of it.
An operating system is for a line of work that repeats, has a standard, and must not publish by itself. It is the heaviest of the six in concept and the lightest to install, because it arrives over a protocol into a host you already pay for. It is also the wrong purchase for one person asking one question.
Claude skills, MCP, and what sits on each side
These two get compared as if they competed. They do not. A skill is a capability the host can use. The Model Context Protocol is the door the host opens to call something that is not itself. Agentik is what stands behind that door: a compiled team, a memory, and a gate, reachable from Claude, Claude Code, Cursor, ChatGPT, Codex, and Hermes through the same URL.
The practical consequence is portability. If the capability lives in one vendor's skill format, moving hosts means rewriting it. If it lives behind MCP, the same install answers from whichever host the team opens that morning. See the MCP page for the endpoints and the OAuth flow, and the conversation contract for what one call returns.
When not to buy an operating system
We would rather lose the sale than install something that sits unused. Four cases where the answer is no.
- One person, occasional work, nothing to remember. A host seat and a good prompt is the whole answer.
- A fixed pipeline with no judgment in it. Use a workflow tool. It will be cheaper and you will be able to debug it at 2am.
- A process nobody has written down. An OS makes a standard executable. It cannot invent the standard for you, and the first week will feel like an interrogation.
- A requirement that the system act with no human in the loop. Agentik gates publishing, sending, spending, and resets on purpose. If that gate is the thing you want removed, we are the wrong shape.
What we will and will not claim
We will claim what we built: the official OS on the marketplace, the agent counts on each landing page, the endpoints on the MCP page, and the prices on Pricing. The live counts on the homepage are counts of rows, not a growth story.
We will not claim a benchmark against another product, a customer logo we were not given, or a number we cannot show you the source of. This page does not score anyone else. If you need a head to head, run it yourself on your own work: same brief, same week, and count the reruns. That test is worth more than any comparison page, including this one.
The category definition lives in the essay. The words are in the glossary. The install is on Connect.
Questions
Is this a ranking of Zapier, Dust, Lindy, or Relevance AI?
No. People search those names next to Agentik, so this page names the categories they belong to. We have not benchmarked those products, so we do not score them. Any page that claims a head to head we published is not ours.
What is the difference between Claude skills and MCP?
A skill is a capability inside a host. The Model Context Protocol is how that host calls a system outside itself. Agentik is the system on the other side of that call, at mcp.agentik-os.com/api/mcp.
When is a chatbot enough?
When the work is one question at a time, one person, and nothing has to be remembered next week. Most writing, summarizing, and thinking out loud stays in a chat window, and buying an operating system for it would be waste.
When is an automation the right answer?
When the steps are fixed and the decision is already made. If a webhook fires and three known things must happen in order, a workflow tool is cheaper, faster, and easier to debug than any agent.
Do I need an AI operating system if I already pay for ChatGPT or Claude?
You still need the host, because it runs the model. An operating system is what you install into that host when the work needs a brief, a memory, several specialists, and an approval before anything leaves.
Can I move my work if I leave?
Ask any vendor that question before you sign. On Agentik, an instance exports its objects and memory, and the OS runs on a host you already pay for, so the model relationship is yours and not ours.
Sources
Check it somewhere other than here.
- Model Context Protocol specification
- The open protocol Agentik speaks. Tools, resources, and the client to server contract.
- Anthropic: MCP in Claude and Claude Code
- How a Claude host adds a remote MCP server and authorizes it.
- OpenAI: MCP connectors
- The same protocol from the ChatGPT and Codex side.
- Cursor: Model Context Protocol
- Cursor's own MCP configuration reference.