Why prompt structure matters
Language models respond to context, constraints and intent. Prompts that specify a role, an audience, a format and a definition of "done" consistently outperform one-line questions. Treat the model as a capable collaborator that needs a clear brief, not a search box.
A repeatable prompt formula
Start with a role ("Act as a senior Laravel developer"), state the task, add context and constraints, then describe the exact output format you want. Iterate by asking the model to critique and improve its own answer. Save prompts that work — a personal prompt library compounds in value over time.
Common mistakes to avoid
Vague goals, missing context, conflicting instructions and no example output are the usual culprits. If the result is generic, the prompt is usually generic. Add specifics, show one example of the desired result, and tell the model what to avoid.
