Why does the AI keep giving me useless answers?

It's not the model. It's the prompt.

"Summarize this report" → a bland, generic blob

In the next 7 minutes: the 4 ingredients that turn a vague request into one the AI can actually act on.

The 4 Ingredients of a Good Prompt

Ingredient	What it tells the AI
Role	Who to act as
Task	The one specific outcome
Context	Background it can't guess
Constraints	Format, length, audience, what to avoid

Miss one → vague answer.

Before & After — ERP Analyst

Vague
"Summarize last quarter's sales data."

Structured
Role: Senior ERP analyst
Task: Write a 3-bullet executive summary of Q3 sales
Context: Audience = COO; focus on regional underperformance & SKU mix
Constraints: Under 100 words, no jargon, flag any drop >10%

Same data. Same model. Now the output is actually usable.

Your turn — spot the gaps

"Write me a LinkedIn post about our new clinical trial results."

Which ingredients are missing?

• Role — who should the AI sound like?
• Task — what exactly should it produce?
• Context — who's reading this post?
• Constraints — what must absolutely not appear?

Pause here and think.

Recap

Role · Task · Context · Constraints

Miss one → the AI fills the gap with averages.

That's why you get vague answers.

→ Next: S1.C2 — Role & Task, the heavy lifters.