Use AI like a $10M consultant instead of like a search engine

I've noticed the same patterns in the ones that actually make money vs. those that waste time.

Most people are using AI like a search engine. The winners use it like a $10M consultant.

Here are the 5 patterns that separate the two:

Pattern 1: Role-Based Prompting Instead of: "Write me a marketing plan" Use: "Act as a CMO who's scaled 3 SaaS companies to $50M. Create a marketing strategy for..." Pattern 2: Context Stacking Instead of: "Create social media content" Use: "Create social media content for [specific audience] struggling with [specific problem] who [specific behavior]..." Pattern 3: Constraint Definition Instead of: "Help me with sales" Use: "Create a sales process for B2B SaaS with 6-month sales cycles, $50K average deal size, targeting CTOs at 500+ person companies..." Pattern 4: Output Specification Instead of: "Give me ideas" Use: "Generate 10 ideas in bullet format, each with expected ROI, implementation difficulty, and timeline..." Pattern 5: Iteration Frameworks Instead of one-shot prompts, use: "First, analyze [situation]. Then, provide 3 strategic options. Finally, recommend the best approach with reasoning..."

I've documented 75 of these business-specific prompts that have generated $50M+ in trackable revenue.

The difference in results is honestly shocking.

Anyone else seeing similar patterns with AI implementation?