Learn from Real Examples
See the dramatic difference between weak and strong prompts. Each example shows exactly what transforms a vague request into clear, actionable instructions for AI models.
What Makes a Strong Prompt?
These patterns appear consistently across all high-performing prompts.
Define a Clear Role
Give the AI a specific persona with relevant expertise. "Senior tech blogger" beats "writer" because it sets expectations for depth and audience.
Provide Rich Context
Background information narrows the solution space. Include versions, constraints, current state, and what success looks like.
Specify Output Format
Don't leave structure to chance. Request "Markdown with H2 sections" or "JSON with these keys" or "Executive summary → Table → Insights."
Set Clear Constraints
Boundaries prevent scope creep. Specify word counts, what NOT to include, technical requirements, and anti-patterns to avoid.
Use Specific Examples
When relevant, show what you mean. "Like Stripe's docs" beats "clean and clear." Concrete references beat abstract adjectives.
Eliminate Ambiguity
Words like "good," "fast," or "professional" mean different things to everyone. Replace them with measurable criteria or concrete examples.