ChatGPT vs Copilot vs Gemini vs Overten: Which One Actually Finishes the Work?

Every AI office tool demos well. The gap shows up later, in the hour spent turning a good answer into a file someone can actually send.

So here is a comparison built around one ordinary piece of work rather than a feature list. Three tasks, in sequence, the way they actually arrive:

• A client memo.
• A budget model built from that memo.
• A five-slide pitch deck built from both.

Not benchmarks. Just the question every professional is really asking: which one gets to “done” with the least manual work left over?

ChatGPT: brilliant writer, no hands

On pure drafting, ChatGPT is hard to beat. The prose quality is excellent and often better than what a busy professional produces under deadline.

Then the output lands as plain text in a chat window. Turning it into a real Word document or slide deck means doing the formatting by hand; headers, spacing, tables, the works. It is a brilliant writer that refuses to touch Microsoft Word.

Copilot: beside the app, not driving it

Copilot lives inside Word and PowerPoint, which sounds like the answer, and for single-document work it partly is. Draft this paragraph, summarise this doc: both work well.

Past that, the interface takes over again. The assistant sits beside the application rather than running it, so anything more ambitious means the same menus as before. Crucially, the memo and the model never become aware of each other. The user is still the integration layer.

Gemini: strong in one app, thin across three

Gemini inside Google Docs is capable, and Google keeps wiring its apps closer together. But the moment a task spans a spreadsheet and a doc and a slide, which is what most real work looks like, keeping the three consistent falls back to the person doing it. That means tab-switching, copy-pasting, and re-checking numbers by hand after every change.

Overten: prompt in, finished file out

Same three tasks, one workspace. A prompt returns an actual formatted Word document, with fonts, structure and tables already in place. The budget model builds from that same brief in Excel, using numbers consistent with the memo. Both then become a five-slide deck. No exporting, no re-uploading, no copy-paste.

The more telling detail is smaller. When a figure in the memo does not match the model, Overten flags it, without being asked to check. It notices because it reads both documents at once rather than one file in isolation. That is the failure mode no amount of drafting quality protects against, and it is the one that reaches the client.

Side by side

Based on the three tasks described above, not a formal benchmark. Every one of these products ships changes frequently, so it is worth running the same sequence for yourself.

Where Overten costs you

Overten is a new workspace, so it does not inherit years of templates, add-ins and shared-drive habits. For an organisation deep in SharePoint, that is a genuine switching cost. And on pure sentence-level writing, ChatGPT remains excellent and worth keeping around for a first draft. The trade is straightforward: give up some familiarity, stop doing the assembly.

The bottom line

Every tool here is good at generating. Only one is built to finish. The gap between “here is some text” and “here is your file, ready to send” is where the hours quietly go, because reformatting has always been treated as part of the job.

It isn't. It was just never anyone's job to fix. Run the same three tasks through Overten and count how much you finish by hand.