Teaching AI About Your Business: Context is Everything

When people start using AI, they think the tool is the difficult part. It’s not. The hard part is teaching it who you are,  and most people never bother. That's exactly why they get generic, forgettable outputs and give up thinking AI doesn't work for them.

It works. You just haven't introduced yourself yet.

Why Context Changes Everything

Think about the first time you hired someone new. On day one, they're smart, capable, enthusiastic, and almost useless with the specifics because they don't know your business yet. They don't know your customers, your tone, your non-negotiables, your history, the deal you made with that one supplier, or why you never discount on Fridays.

Give them three months, and they're producing work that actually fits. Not because they got smarter, but because they got context.

AI works exactly the same way, with one critical difference: it forgets everything the moment you close the chat. Every new conversation starts from zero. So if you're opening a new session and typing "write me a marketing email" without any background, you're essentially hiring that new employee fresh every single time and wondering why their work keeps missing the mark.

Context is the fix. And the good news is,  once you build it, you don't have to keep rebuilding it.

What Information to Share (and What to Skip)

This is where most people either overshare or undershare. They either paste in their entire business plan and get confused outputs, or they give nothing and get outputs that could belong to any business on the planet.

What actually matters.

Share these:

What you do and who you do it for. Not the vague version, the specific one. Not "we're a marketing agency" but "we're a two-person content agency that works exclusively with e-commerce brands in the health and wellness space, typically founders at the £500k–£2m revenue stage who are scaling their DTC presence."

Your tone and voice. How do you sound? Formal and authoritative? Casual and direct? Warm and encouraging? Give AI a few examples of writing you've done that landed well, a good email, a social post that got engagement, and a proposal that won a client. It'll pick up your register faster than any description you write.

Your customers' language. What words do your customers actually use? What are they worried about? What do they call their problems? This is gold for marketing copy and customer communication.

What you don't do and won't say. Just as important as what you are. If you never use corporate jargon, say so. If you never discount without a reason, say so. If there are competitors you don't want to be compared to, say so.

Key context that changes the output. Pricing tier, geography, industry, and stage of business, these shift the kind of advice and copy AI produces dramatically.

Skip these:

  • Confidential financial data, client personal details, and legal agreements. Don't paste sensitive information into any AI tool unless you're on a business plan with clear data protections.
  • Irrelevant background. Your founding story is interesting to you; it's noise to the AI if it doesn't change the output.
  • Anything you wouldn't want stored on a third-party server.

Creating a "Business Brief" for AI

The most practical thing you can do right now is write a business brief, a short document you paste at the start of any AI session to instantly orient the tool to your world. Think of it as your AI onboarding document.

A structure that works:

[Business Name] — AI Business Brief

What we do: [One to two sentences. Specific, not vague.]

Who we serve: [Describe your ideal customer — role, size, pain point, where they are in their journey.]

Our tone of voice: [Three to five words or phrases. E.g. "Direct, warm, no jargon, like a smart friend who happens to be an expert."]

What we never do: [List two to three things you avoid in your communication or positioning.]

Key context: [Anything that changes how advice or copy should be framed, location, industry specifics, pricing model, stage of growth, notable achievements, or credentials.]

Example of our writing we're happy with: [Paste one short example: an email, a post, a paragraph from a proposal.]

That document, pasted at the start of a session, transforms the quality of what comes back. It takes five minutes to write and saves hours in the long run. Keep it in a notes app or document so you can copy and paste it instantly.

In Chaturji, you can store this brief directly in a Room (Hyperlink to Room article), so every team member has it available automatically without copying and pasting each time. The brief lives with the tools, not scattered across personal files.

Building Company-Specific Prompts

A business brief sets the scene. Prompts are the instructions. The best teams don't just use AI; they build a library of prompts that are specifically engineered for their business, tested, refined, and saved so anyone can use them.

The difference a specific prompt makes:

Generic prompt: "Write a follow-up email to a prospect."

Company-specific prompt: "Write a follow-up email to a [job title] at a [type of business] who attended our webinar on [topic] but hasn't booked a call yet. Our tone is warm and direct, not pushy. Reference the webinar briefly, address the most common hesitation our prospects have, which is [hesitation], and end with a single soft CTA asking them to book a 20-minute call. Keep it under 150 words."

The second prompt produces something you can almost send immediately. The first produces something you'll spend twenty minutes fixing.

Building a prompt library doesn't require any technical knowledge; it just requires paying attention. When a prompt produces a great output, save it. Note what you changed and why. Over time, you'll have a set of prompts that work specifically for your business, your customers, and your voice.

In Chaturji, your prompt library lives in the shared Workspace (Rooms). When your best copywriter figures out the perfect prompt for writing a case study introduction, it gets saved to the library. The next person who needs a case study runs that prompt, not a worse version they came up with from scratch.

Combining AI Outputs With Human Expertise

The part, the AI evangelists sometimes skip: AI output is a starting point, not a finished product. And the businesses that get the best results from AI are the ones that treat it exactly that way.

AI is brilliant at generating, structuring, and drafting. It is not brilliant at knowing the thing your most experienced salesperson knows, that this particular client type always has a procurement concern in week three, or that your best-performing emails always open with a counterintuitive question, or that the word "solution" makes your audience switch off.

That knowledge lives in your people. The workflow that works is AI handles the volume and the first draft, and your team brings the nuance, the judgment, and the specifics that make it yours.

A useful way to think about it: AI raises the floor. It eliminates the bad first drafts, the blank page paralysis, and the repetitive execution work. Your team raises the ceiling, taking something solid and making it exceptional.

This is why context matters so much in both directions. The more context you give AI upfront, the less your team has to fix on the other end. A well-briefed AI produces a draft that needs ten minutes of editing, not an hour of rewriting.

In practice, the best teams develop a habit of reviewing AI output with one specific question: What does this need that only we know? That might be a specific data point from a recent customer conversation. A reference to something that happened in the market last week. A line that sounds like your founder rather than a polished stranger. Those additions, two or three per piece, are what make AI-assisted work feel human.

What This Looks Like in Practice

To make it concrete, here's what a well-briefed AI workflow looks like for a small marketing team or any other team producing a client proposal:

Step 1 — Context drop. Paste the business brief into a Chaturji Room. Everyone working on the proposal can see it, and the AI already knows who it's writing for.

Step 2 — Run the prompt. Use the saved proposal prompt from the team's prompt library. First draft arrives in two minutes, already in the right tone, already framed for the right audience.

Step 3 — Human layer. The account lead reads through and adds the three things only they know: the client's specific concern from last week's call, the competitor the client mentioned, and the pricing context that makes the offer more relevant.

Step 4 — Final review. A second team member checks it using a saved review prompt, "Does this match our voice? Does it address the client's stated concern? Is the CTA clear?"

Total time: twenty minutes for a proposal that used to take most of the afternoon.

That's not theoretical. That's available right now, for any small business willing to do the setup work upfront.

Start With the Brief

If you take one thing from this article, let it be this: write your business brief today. It doesn't have to be perfect. It doesn't have to be long. It just has to be specific enough that someone, or something, reading it would understand who you are and what you stand for.

Open Chaturji, create a Room, and add your brief as the first document. Every piece of AI work your team does from that point forward starts from a foundation that actually reflects your business,  not a generic template that could belong to anyone.

The businesses getting the most out of AI right now aren't using better tools. They're using the same tools, with better context.

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