Better AI Prompts, Better Results: Prompt Engineering for Small Business  episode artwork

EPISODE · Mar 9, 2026 · 15 MIN

Better AI Prompts, Better Results: Prompt Engineering for Small Business

from Mike Schiano In the Queue · host Mike Schiano

If you’ve tried AI and thought “this isn’t useful,” the problem often isn’t the model—it’s the prompt. In this 15-minute episode of In the Queue, Mike Schiano breaks down prompt engineering for beginners and business owners using a simple operations mindset: the prompt is your SOP.You’ll learn a practical prompt framework (Task, Context, Format—plus Role and Constraints) and hear real examples you can copy for marketing emails, customer support replies, and building SOPs faster. Mike also shares the strategies that make AI predictable in day-to-day operations: prompt libraries, guardrails, and QA-style self-checks so your outputs are consistent, on-brand, and usable.Perfect for: small business owners, operators, service businesses, CX/support teams, and anyone who wants AI to save time without creating more rework.In this episode:Why vague prompts create vague resultsThe simplest prompt structure that works across use cases“Steal these prompts” templates for marketing, support, and opsHow to standardize prompts like you standardize processes Listen now and build your first “prompt library” for the work you repeat every week.This episode covers prompt engineering, AI prompts, ChatGPT prompts for business, small business AI, AI for customer service, operations, SOPs, productivity

If you’ve tried AI and thought “this isn’t useful,” the problem often isn’t the model—it’s the prompt. In this 15-minute episode of In the Queue, Mike Schiano breaks down prompt engineering for beginners and business owners using a simple operations mindset: the prompt is your SOP.You’ll learn a practical prompt framework (Task, Context, Format—plus Role and Constraints) and hear real examples you can copy for marketing emails, customer support replies, and building SOPs faster. Mike also shares the strategies that make AI predictable in day-to-day operations: prompt libraries, guardrails, and QA-style self-checks so your outputs are consistent, on-brand, and usable.Perfect for: small business owners, operators, service businesses, CX/support teams, and anyone who wants AI to save time without creating more rework.In this episode:Why vague prompts create vague resultsThe simplest prompt structure that works across use cases“Steal these prompts” templates for marketing, support, and opsHow to standardize prompts like you standardize processes Listen now and build your first “prompt library” for the work you repeat every week.This episode covers prompt engineering, AI prompts, ChatGPT prompts for business, small business AI, AI for customer service, operations, SOPs, productivity

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Better AI Prompts, Better Results: Prompt Engineering for Small Business

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This episode was published on March 9, 2026.

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If you’ve tried AI and thought “this isn’t useful,” the problem often isn’t the model—it’s the prompt. In this 15-minute episode of In the Queue, Mike Schiano breaks down prompt engineering for beginners and business owners using a simple operations...

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