Few-Shot Prompting: Teach by Example

Assigning the right role changes everything. Here's how to do it well.

Stop rewriting the same prompt. Turn your best one into a fill-in-the-blanks template.

Cut hallucinations with prompt structure that rewards 'I don't know' over guessing.

For problems where the AI rushes to a wrong answer — force it to think first.

Get the AI to return exactly the format you need — table, JSON, bullets, whatever.

The one prompt that fixes half your bad AI answers. It asks you questions until it's 95% sure it gets what you want — then does it right the first time.

Your prompt is probably the problem, not the model. Paste what you've been typing — it rewrites it into something that actually gets you what you want.

Paste a prompt that's not working. Get a sharper version and the reasons why.

Big tasks fail in one prompt. Chain them so each step builds on the last.

Transform a rough prompt into a precise, high-performing one by systematically identifying ambiguity, missing constraints, weak instructions, and misaligned outputs, then correcting them through deliberate iteration.

Design a complete Google Ads search campaign structure including ad groups, keywords, responsive ads, and extensions, with clear targeting logic and conversion intent. Controls include service segmentation, keyword matching, and strategic extension planning.

The reason most AI agents sound generic: nobody defined the persona. Fix that here.