AI Prompting Guide

How to Write Prompts That Actually Get You What You Want

"Help me with my resume" and "Rewrite my resume summary for a senior marketing role, keeping it under 3 sentences and confident in tone" will get you two very different answers from the same AI. The difference isn't luck — it's three specific things.

The three things every good prompt needs

Most vague prompts are missing one or more of these:

A before-and-after example

// Vague: "Explain machine learning." // Specific: "Explain what machine learning is, in one paragraph, for a business executive with no technical background."

The second version tells the model exactly what to focus on (a plain-language explanation, not the math), how long to make it (one paragraph, not an essay), and who it's for (someone who needs business impact, not algorithm details). Same topic, dramatically more useful answer.

Turning a vague request into a specific one

A reliable technique: take a vague request and ask yourself "what would I tell a new employee if I handed them this task with zero context?" Whatever you'd naturally clarify — the audience, the constraints, the goal — belongs in the prompt.

// Vague: "Give me a workout plan." // Specific: "Give me a workout plan for building strength, training 3 days a week, using only bodyweight exercises (no gym equipment)."
Common mistake: over-explaining background instead of specifying output. A long prompt isn't automatically a good one — three concrete constraints (task, audience, format) beat five paragraphs of context with none.

Why this matters more as tasks get harder

For a one-line factual question, vague prompts mostly work fine. The gap widens fast on anything with judgment involved — writing, planning, analysis — where "good" depends entirely on constraints the model can't read your mind about.

Try it yourself

Practice writing specific prompts with real interactive exercises and instant, specific feedback on what your prompt is missing.

Start practicing prompts →