Compare
The Comparisons, With the Answers on the Outside
Comparison pages are usually written to be clicked rather than read, so the conclusion hides at the bottom and the winner is whoever pays the affiliate fee. Every card below states what we actually concluded. If that is all you need, take it and go — several of these end with us recommending you buy nothing, or buy from somebody who is not us.
Eight decisions people actually face
Each one is a question we get asked in scoping calls, answered the way we answer it in the room.
AI agents vs chatbots
Most people asking need neither yet. One says things, the other does things — and both need somebody to have written down what the correct answer is, which for most tasks nobody ever has.
Make vs Zapier vs n8n
We will not name a winner, and that is the answer. The tool is the least consequential decision in the project and the one people spend longest on. What decides it is who maintains the thing afterwards.
Custom AI vs off-the-shelf
Both change under you; the difference is whose schedule. With ordinary software, off-the-shelf is the stable option. With AI it is not, because the product you bought sits on a model somebody else keeps moving.
RPA vs AI automation
One breaks loudly, one breaks quietly. RPA stops dead and you know today. An AI step keeps running while being subtly wrong. We do not sell RPA, and we will tell you when it is what you need.
AI agency vs freelancer
A freelancer is frequently the right call. Both will build it; the difference arrives when the person who built it is unavailable. The protection is documentation and accounts in your name, not the contract type.
In-house AI vs an agency
Hire when the work is continuous, not when the project is big. The job advert quietly contains four different roles, and an automation specialist with nothing to automate is an expensive person looking for problems.
Microsoft Copilot vs custom AI
If you live in Microsoft 365, start with Copilot. Its reach inside your own systems is not something a build can match cheaply. Audit your permissions first, because it sees what the asker is already allowed to see.
ChatGPT Enterprise vs custom AI agents
Buy the seats. Just do not call it automation. A seat makes a person more capable and goes home at five. A built process keeps running and leaves a record. Most businesses should have both, as separate decisions.
A fair question about all of this: we sell automation, so why do half of these argue against buying it? Because the projects that go wrong are the ones sold to somebody who was not ready, and those are the ones discussed publicly a year later. A smaller correct recommendation is a better outcome for us than a larger wrong one. Where we are one of the options being compared, the page says so.
Questions that did not earn a page
These come up constantly and the honest answer to each is a sentence, so here it is rather than a page padded out to look like one.
- Do we need our own model?Almost certainly not. What matters is what it can reach and what it may do
- Open-source or a paid model?Paid until something forces otherwise — usually data residency
- Do we need a data warehouse first?No. Most first automations touch one or two systems, not all of them
- A voice agent, or a better phone menu?Fix the menu first. It is cheaper and it is often the whole problem
- WhatsApp or email for follow-up?Whichever your customers already reply on. Usually not the one you prefer
- Should we wait for it to settle?It will not settle. Build something small and reversible instead
Each of those is a real answer, not a trailer for a page we plan to write. If one of them later turns out to have genuine search demand, a different entity behind it and a pattern worth repeating, it can be promoted — but a question does not deserve a page just because it is asked often, and a table row that answers it properly costs the reader nothing.
What people ask about these pages
Why do several of these tell us not to buy anything?
Because the projects that go wrong are the ones sold to somebody who was not ready, and those are the ones talked about publicly a year later. A smaller correct recommendation is a better outcome for us than a larger wrong one, and a comparison page that never reaches an inconvenient conclusion is an advert.
Are these updated?
They are written to argue about structure rather than features, precisely so they do not go stale in a quarter. That is also why you will not find pricing tables or feature lists here for anybody’s product — those change constantly, we cannot verify them, and a stale table is worse than none because somebody buys on it.
Where is the GEO vs SEO comparison?
Under SEO services, because it is a question about search rather than about buying automation. It is linked in the related list below, and it argues that the difference between the two is not what you do but what you can prove.
Can you compare something that is not listed?
Yes, and it is a normal part of a scoping call. Several of the questions in the table above started as that. If it turns out a lot of people are asking the same one, it may become a page — but the table is where it goes first.
Do you recommend competitors?
When they fit better, yes. The RPA comparison ends by pointing at established vendors we do not compete with, and the Copilot one recommends buying a Microsoft licence before building anything. Neither is generosity — being wrong about this is more expensive for us than losing one project.