Context — The Most Powerful Ingredient

The Most Underused Element

Of the four elements in a strong prompt — task, context, format, and constraints — context is the one most beginners leave out. It is also the one that makes the biggest difference. Context is what transforms a generic AI response into something tailored, relevant, and actually useful for your specific situation.

The AI does not know who you are, who your audience is, or why you need what you are asking for. Without context, it makes assumptions — and those assumptions are almost always too general.

Three Types of Context That Matter

Context is not just one thing. There are three distinct types, each of which changes the output in a different way:

1. Audience Context

Who will read or use the output? This is the most impactful context you can provide. The same explanation written for a ten-year-old looks completely different from one written for a PhD researcher — even if the topic is identical.

• "The audience is small business owners with no marketing background."
• "This is for senior engineers who are already familiar with REST APIs."
• "Write for someone who has never used a spreadsheet before."

Audience context shapes vocabulary, assumed knowledge, depth, and tone all at once. It is often the single biggest lever you can pull.

2. Purpose Context

Why does this output exist? What job is it doing? A product description on a website serves a different purpose than a product description in a sales email. A meeting summary for your own notes is different from one that gets sent to a client.

• "This is going on the homepage, so it needs to be immediately clear to a new visitor."
• "This email is a follow-up to a sales call — the lead is warm but not yet committed."
• "This is an internal document; the reader already knows our product."

Purpose context changes the angle, the call to action, and what the AI chooses to emphasise.

3. Background Context

What does the AI need to know about your specific situation to get this right? This is the category most people forget entirely.

• Details about your product, service, or company
• Constraints that exist in the real world (budget, timeline, location)
• Previous steps taken that inform what comes next
• Tone or brand guidelines you already follow

For example: "I run a small bakery in Edinburgh, specialising in gluten-free goods. My customers are mostly regulars aged 35–60. Write me a monthly newsletter email to re-engage people who haven't ordered in three months."

Without that background, the AI writes a generic bakery newsletter. With it, it writes something you could send this afternoon.

How Much Context Is Too Much?

A common worry is overloading the prompt. In practice, more relevant context almost always helps. The AI is very good at filtering out what is not useful. What it cannot do is invent context you did not provide.

A useful rule: if the context would change the output, include it. If it is background you would give a new employee on their first day, it belongs in the prompt.

Context vs. Instructions

It is worth being clear on the difference. Instructions tell the AI what to do. Context tells the AI what it needs to know to do it well. Both are important — but context is the part that makes output feel like it was written for you, not just written.

"Write a welcome email for new users." — instruction only

"Write a welcome email for new users of our project tracking app. Our users are freelancers and small agencies. They signed up because they want to spend less time on admin. The tone should be warm and practical — assume they're busy. The email should land within five minutes of signup." — instruction + all three types of context

Both prompts will produce an email. Only the second one will produce an email you would actually send.