Picture a student who has memorised the textbook. Cover to cover, word for word. Ask anything from the exam and they’ll nail it.
Now hand them a real problem from their own life, something not in any chapter. They freeze. All that knowledge, and no idea what to do with it here.
That’s where most people are with AI chatbots right now.
You tried it. You asked for an email and got a decent email. You asked it to summarise a document and it did. You asked something about marketing and got a reasonable answer. Then you closed the tab and went back to work.
The tool worked. Nothing changed. Because it knows everything in general and nothing about your business.
What it doesn’t know
It doesn’t know your customers or your pricing. It doesn’t know your biggest client hates formal language. It doesn’t know that urgent in your industry means two hours, not two days. It doesn’t know about the workaround your team invented because the invoicing system crashes every Thursday.
General knowledge is a starting point. Specific knowledge is where the value lives.
One step closes the gap
A small consulting firm used ChatGPT to draft client proposals, and every draft needed a heavy edit: wrong tone, wrong pricing format, wrong structure. The proposals sounded like nobody in particular.
So the founder pasted three past proposals into the conversation and wrote: match this tone, this format, this pricing layout. The next draft needed two small edits instead of a rewrite. Ten minutes instead of an hour.
The AI didn’t get smarter. It got context. (opens in a new tab)
That’s the move for anyone stuck at the trial stage. Not a new tool, not a bigger subscription. Your own information, fed into the tool you already have.
One rule before you start: never paste passwords (opens in a new tab), keys, or trade secrets into any AI tool. Share the patterns, not the credentials.