C: Context Is Everything

Start with an example

Prompt: “Write a reminder email about an unpaid invoice.”

The AI writes a firm, businesslike reminder: payment is overdue, please remit immediately, late fees may apply. For most situations, fine.

But suppose this client has been with you for six years, has always paid on time, and mentioned a family emergency last month. That cold email could cost you a relationship worth thousands of dollars.

Add context:

“The client is a long-time customer of 6 years who has always paid on time. They mentioned a family emergency last month. The invoice is 20 days late. Our goal is to check in kindly and offer a 2-week extension with no late fee, while keeping the relationship strong.”

Now the AI writes something warm and human that you’d actually send. The AI didn’t get smarter. It got informed.

Why Context matters so much

AI has no idea who you are, what your organization does, who your audience is, what happened last week, or why this task matters. It has no memory of your situation. It starts fresh every single time.

Context closes that gap. It’s the most skipped section of a prompt, and the most common reason outputs miss. Five parts live here.

1. Audience: who this is for

Not just a label. A description that tells the AI how to calibrate the response.

Weak	Strong
“Parents”	“Parents of incoming 9th graders, many of whom speak English as a second language”
“My boss”	“A board of directors reviewing a quarterly report in 10 minutes before a meeting”
“Staff”	“Frontline clinic staff who aren’t tech-savvy and read on their phones between patients”

The audience shapes vocabulary, tone, assumed knowledge, and what needs explaining versus what can be stated plainly.

2. Situation: what’s going on right now

What’s the current state of things? What just happened? What’s about to happen? What problem is being solved?

• “We just received a complaint and need to respond within 48 hours.”
• “We’re onboarding new volunteers who have never used our sign-up system.”
• “Our biggest game of the season is Friday, and ticket sales are behind.”

Give the AI the moment it’s working inside.

3. Goal: what a successful output achieves

Not the task itself; the reason behind the task. What changes after this is done well?

Task	Goal
Write a reminder email to volunteers	Get at least 15 volunteers to confirm by Friday
Summarize the policy update	Make sure every staff member knows the two things they must do differently starting Monday
Write a flyer for the car wash	Raise $800 for the band trip

A goal shifts the response from generic to purposeful. An email whose goal is “get confirmations” will end with a clear, easy way to confirm.

4. Background: facts the AI can’t know

Who’s involved. What was tried before. What your organization does. What’s already been decided.

Keep it to what actually affects the output. You don’t need a biography. Three to five sentences of relevant background is usually enough.

5. Constraints and rules: what limits or shapes the work

What must the AI stay within? What can’t it do?

• “Do not make legal claims.” (a constraint)
• “This must follow our school’s student privacy rules.” (a rule)
• “Do not mention competitor products by name.” (a boundary)
• “Assume the reader has a sixth-grade reading level.” (a rule that shapes every word)

Constraints aren’t optional polish. They’re guardrails that stop the AI from producing something that looks good but can’t be used.

A privacy rule that always applies

Never paste real client names, patient records, financial account details, Social Security numbers, student data, or other protected personal information into a public AI tool.

You can give great context without it. Use placeholders (“a long-time client,” “Student A”) or describe the situation in general terms. If your organization uses AI tools with approved privacy controls, follow those rules every time.

Think about it: Most of the context that makes a prompt powerful (the audience, the goal, the situation) contains no private details at all. Why do you think people reach for the private details first?

Show it, don’t describe it

When your context includes material, paste the real thing instead of describing it, and mark where it starts and ends so the AI doesn’t confuse it with your instructions:

“Summarize the customer email below for our team. """ [paste the email here] """”

A worked example: one field at a time

Aaliyah runs social media for her neighborhood’s youth basketball league. She asks AI for an Instagram caption about Saturday’s tournament, adding one Context field at a time:

Added	What changed
Instructions only	Generic hype: “Game day! Come out and support!”
+ Audience: parents and grandparents in the neighborhood, many not big Instagram users	Clearer, warmer, explains where and when
+ Situation: first tournament since the gym reopened after repairs	Adds a proud “we’re back” message
+ Goal: sell 100 concession tickets to fund new uniforms	Ends with a clear call to buy tickets, and why it matters
+ Background: free entry; concessions $5; doors at 9 am; 8 teams	Every fact is correct
+ Constraints: under 60 words, no slang, no emojis	Short, polished, readable for every age

The biggest jump came from Goal. Without it, the caption was a nice announcement. With it, the caption asked for something. That’s usually the case: when people finally add the goal, the AI finally understands what the words are for.

Think deeper: the curse of knowledge

Psychologists have a name for a common trap: the curse of knowledge. Once you know something, it’s hard to imagine not knowing it. That’s why experts are often bad at explaining things to beginners, and why we often write prompts that feel complete to us but are missing half the story.

You know your audience, your situation, and your goal so well that they feel obvious. To the AI, they’re invisible. Context is really the practice of noticing what you know that others don’t.

This skill doesn’t just make you better with AI. It makes you a better writer, teammate, and leader, because the same gaps that confuse an AI also confuse people.

Questions to sit with:

• Think of a time someone gave you directions that made perfect sense to them but not to you. What context were they missing?
• If AI can only be as useful as the context it gets, who becomes more valuable in a workplace that uses AI: the person who types fastest, or the person who understands the situation best?

Practice: one field at a time

1. Choose a real task.
2. Write Role and Instructions only, and run it.
3. Add Audience. Run it again.
4. Add Situation, then Goal, then Background, then Constraints, running it after each.
5. Note which field changed the answer the most.
6. Save your final Context so you can reuse it for similar tasks.

CONTEXT:
- Audience: [who this is for, and what they know or care about]
- Situation: [what is happening right now]
- Goal: [what changes after this is done well]
- Background: [3–5 sentences of facts the AI can't know]
- Constraints and rules: [privacy, scope, reading level, things to avoid, rules to follow]