Advanced AI Prompting Techniques: Get 10x Better Results

Most people use AI at 20% of its capability because they write prompts like search queries. These advanced techniques transform your results.

1. Role + Task + Format (RTF) Framework

Structure: ‘Act as [expert role] and [specific task]. Format the output as [desired format].’

Basic: ‘Help me write a sales email’

RTF: ‘Act as a direct response copywriter with 10 years of B2B SaaS experience. Write a cold outreach email to a VP of Marketing at a 50-person startup. The goal is to book a 15-minute demo. Format: Subject line + 4-sentence email body + PS line.’

2. Few-Shot Examples

Show the AI exactly what you want with 2-3 examples before asking for new output:

‘Here are 3 examples of our social posts that performed well: [examples]. Now create 5 new posts in the same style about [topic].’

3. Chain of Thought (CoT) Prompting

Ask the AI to think through problems step by step:

‘Before writing the email, first: identify the recipient’s likely objections, what they care about most, and what would make them take action. Then write the email based on that analysis.’

4. Persona Priming

Describe your audience in detail before asking AI to write for them:

‘My target reader: 35-year-old marketing manager at a SaaS company, reads 5+ hours/week, skeptical of hype, wants practical tactics, values data and examples over theory. With this person in mind, write…’

5. Iterative Refinement

Don’t accept the first output. Build a refinement loop:

1. First pass: ‘Write [thing]’
2. Specific improvement: ‘The opening is weak. Rewrite the first 2 paragraphs to open with a counterintuitive statement’
3. Tone adjustment: ‘The second section is too formal. Make it conversational while keeping the information’

6. Constraint Prompting

Add specific constraints to prevent common AI failures:

• ‘Do not use the phrases: revolutionary, game-changing, seamless, robust, leverage, utilize’
• ‘Avoid starting sentences with It, They, or This’
• ‘Keep paragraphs to 3 sentences maximum’
• ‘Use concrete examples instead of abstract statements’

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