Salvo vs ChatGPT

Can't I just use ChatGPT?

Sometimes, yes. Keep it. It's good for anything you can type into it. The boundary is simple: ChatGPT is a brilliant stranger. It can write a generic email to nobody. It doesn't know your customers, your prices, your last forty jobs, or the part of the week nobody has thought to question.

Short version

ChatGPT

Great general intelligence.

Salvo

Your business inside it.

The test

Does the work live outside a prompt?

01

Keep ChatGPT. It's good for anything you can type into it.

02

It is still a brilliant stranger.

03

Answering was never the whole job.

04

The thing you pay for is your business inside the intelligence.

Where the line is

The work is not shaped like a chat.

ChatGPT

It can rewrite the follow-up email.

Built system

It builds a dossier on the prospect — every call, thread, and record you have, cross-referenced — and writes the letter for that one buyer. Trained on every sales book you have heard of, and the declassified interrogation science you have not.

Side by side

Same intelligence class. Different job.

01What it knows

ChatGPT

General language patterns and whatever you paste into the session.

Salvo

Your files, prices, edge cases, review rules, and the sequence the work actually follows.

02Where it works

ChatGPT

Inside the text you type.

Salvo

At the point of work: camera, upload, contract, call recording, database, queue, or review screen.

03What starts it

ChatGPT

A person remembering to open the tab and ask the right question.

Salvo

An event that already happens: a file arrives, a call ends, a camera sees, a deadline moves.

04What it notices

ChatGPT

Only the problem you already knew how to describe.

Salvo

The pattern hiding in the operation because everyone has treated it as normal for years.

05Handling your actual inputs

ChatGPT

Manual paste, upload, recap, and cleanup.

Salvo

It takes the file, image, call, record, or form and puts the result where the next person needs it.

06What the team sees

ChatGPT

A conversation one person has to translate back into work.

Salvo

A screen, queue, report, flag, or action inside the flow the team already touches.

07What happens next

ChatGPT

Someone copies the answer somewhere else.

Salvo

The output routes, logs, flags, or waits for review without losing the thread.

08When a key person leaves

ChatGPT

Their prompt habits and cleanup tricks leave with them.

Salvo

The process stays in the build. The rules are not trapped in one head.

09Who can use it

ChatGPT

The people comfortable turning their work into prompts.

Salvo

The people doing the work: intake, ops, dispatch, prep, review, field crew.

10On a bad day

ChatGPT

You get a confident answer and decide whether to trust it.

Salvo

Exceptions get flagged, routed, and reviewed because the system was built for the bad day too.

Use ChatGPT when

A text box is enough.

You need a draft, summary, rewrite, or brainstorming pass.

One person is doing the task start to finish.

The work isn't tied to your customers, prices, job history, or tools.

You're testing whether an idea is worth building at all.

Build a system when

The work has to keep moving without heroics.

The same task happens every week and still eats hours.

Files, calls, photos, contracts, or records come in messy.

The work crosses people, inboxes, cameras, tools, or field crews.

You need it to run the same way every time.

You need a screen the team can use, not a prompt one person translates.

A miss costs money, time, or client trust.

What a real chatbot becomes

The chatbot is one tile, not the product.

In one consumer dog-health product, the chat feature is one of roughly nineteen features. The useful system also scans stool samples, reads uploaded video for behavior signals with keypoint overlays and timestamped stress or gait notes, keeps vet records, supports subscriptions, and routes uncertain answers through human review. The chat runs on 0 curated chunks from 0 sources, tagged by four training philosophies. That is what a chatbot looks like when it is built instead of bought.

The research is public.

Benchmarks run on machines I own, measured against frontier systems — with the failed approaches reported next to the results. Read it before you take my word for anything.