AI can feel “smart” or “dumb” depending on how you talk to it. With a few simple habits, you can turn almost any AI model into a much more useful collaborator.
Before you type anything, ask: “What exactly do I want back?” Not “help me with my project,” but “help me write a 3‑paragraph introduction for my project about X.
Bad: “Help me with my website.”
Good: “Suggest 5 short headline ideas for a personal portfolio website focused on web development.”
A clear goal gives the AI a direction instead of leaving it to guess.
Telling the AI who it should act as changes the style and depth of the answer.
“Act as a friendly English tutor for intermediate learners.”
“You are a senior software engineer reviewing junior-level code.”
“You are a marketing copywriter for tech startups.”
Roles help the model choose tone, detail level, and examples that fit your needs.
Context is the background information the AI needs to avoid generic answers
Useful context examples:
Who the audience is (kids, experts, customers, managers).
Where this will appear (email, blog, social media, report).
What has already been done or decided.
For example: “Write a short LinkedIn post announcing my new online course for beginner web developers. Target young professionals who want to switch careers.”
Tell the AI how the answer should look.
You can specify:
Format: bullet points, table, email, script, outline.
Tone: friendly, formal, persuasive, playful.
Length: one sentence, 3 bullets, 200 words, under 4 minutes to read.
Examples:
“Give me 5 bullet points, each under 15 words.”
“Write a formal email of about 150 words.”
“Create a step‑by‑step checklist.”
This reduces editing time because the output is already close to what you need
Vague in, vague out. A few extra details can dramatically improve results.
Instead of: “Explain AI to me.”
Try: “Explain AI in 3 short paragraphs for a non‑technical audience. Use simple language and one everyday example.”
If you have a style or format in mind, show a quick example.
“Here’s an example of the tone I like: [paste 2–3 sentences]. Rewrite my text in a similar tone.”
Your first prompt doesn’t need to be perfect. Think in iterations:
Ask for a first draft.
Then refine: “Make it shorter.” “Use simpler words.” “Add 2 concrete examples.”
Finally: “Turn this into a final version ready to publish.”
You can also break big tasks into smaller steps:
Step 1: “Create an outline for a 1,000‑word blog on X.”
Step 2: “Write the introduction only, in a friendly tone.”
Step 3: “Write section 1 using the outline, with 3 bullet points.”
This “prompt chaining” keeps the AI focused and improves quality at each step.
“You are a [role].
Your task is to [clear goal].
Context: [who it’s for / where it’s used].
Output: [format, tone, length].
Constraints: [what to avoid or follow].”
Your results with AI are only as good as your prompts. Treat every prompt like a clear brief to a smart teammate, not a vague wish to a machine