Master the Art of Prompting

Learn how to communicate effectively with AI, then verify your skills with our interactive validator.

Prompt engineering is the art of communicating with AI to get the best possible results. It's not just about asking a question; it's about crafting a precise instruction manual for the model.

The C.R.E.A.T.E Formula

C

Character (Persona)

Give the AI a role. "Act as a Senior React Developer" sets a higher standard than just "Write code".

R

Request (Task)

Use strong action verbs. "Analyze", "Summarize", "Refactor", "Compose". Be specific.

E

Examples (Few-Shot)

Show, don't just tell. Providing 1-2 examples of desired input/output drastically improves accuracy.

A

Adjustments (Constraints)

Set boundaries. "Under 200 words", "No jargon", "Use bullet points".

T

Type of Output

Format matters. CSV, JSON, Markdown table, Email draft, Python script.

E

Extras

"Think step-by-step" (Chain of Thought) helps with complex logic/math.

Few-Shot Prompting

Instead of asking "Convert this to emoji", show it:

Input: Happy
Output: 😊
Input: Sad
Output: 😢
Input: Excited
Output:

Chain of Thought

For complex tasks, force the AI to explain its reasoning before giving the final answer.

"...solve this math problem. Before answering, explain your step-by-step logic to ensure accuracy."

Best Practices Checklist

Do This

  • Be specific and descriptive.
  • Use delimiters like """ or --- to separate text sections.
  • Ask for examples.
  • Iterate and refine.

Avoid This

  • Being vague ("Write something").
  • Providing conflicting instructions.
  • Assuming the AI knows your private context or company data.

Prompt Validator

Paste your prompt below. Our tool will analyze it for structure, clarity, and effectiveness.

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