01What it knows
General language patterns and whatever you paste into the session.
Your files, prices, edge cases, review rules, and the sequence the work actually follows.
Salvo vs 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
Great general intelligence.
Your business inside it.
Does the work live outside a prompt?
Keep ChatGPT. It's good for anything you can type into it.
It is still a brilliant stranger.
Answering was never the whole job.
The thing you pay for is your business inside the intelligence.
Where the line is
It can rewrite the follow-up email.
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
General language patterns and whatever you paste into the session.
Your files, prices, edge cases, review rules, and the sequence the work actually follows.
Inside the text you type.
At the point of work: camera, upload, contract, call recording, database, queue, or review screen.
A person remembering to open the tab and ask the right question.
An event that already happens: a file arrives, a call ends, a camera sees, a deadline moves.
Only the problem you already knew how to describe.
The pattern hiding in the operation because everyone has treated it as normal for years.
Manual paste, upload, recap, and cleanup.
It takes the file, image, call, record, or form and puts the result where the next person needs it.
A conversation one person has to translate back into work.
A screen, queue, report, flag, or action inside the flow the team already touches.
Someone copies the answer somewhere else.
The output routes, logs, flags, or waits for review without losing the thread.
Their prompt habits and cleanup tricks leave with them.
The process stays in the build. The rules are not trapped in one head.
The people comfortable turning their work into prompts.
The people doing the work: intake, ops, dispatch, prep, review, field crew.
You get a confident answer and decide whether to trust it.
Exceptions get flagged, routed, and reviewed because the system was built for the bad day too.
Use ChatGPT when
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 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
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.
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.