Most people treat AI like a search engine. They type a question, get a mediocre answer, and assume that's what the tool can do. It isn't.
The difference between a usable output and a great one is almost always the prompt. This guide gives you the system — not just the templates.
The anatomy of a high-performance prompt — role, context, task, format, and constraint layers — with before/after rewrites showing exactly what each layer adds.
Dedicated sections for ChatGPT, Claude, Gemini, Midjourney, Runway, Perplexity, and GitHub Copilot — each with platform behavior notes and optimized prompt patterns.
Copy-paste prompts for content creation, coding, research, image generation, data analysis, customer comms, and business operations — organized by use case.
Chain-of-thought prompting, prompt chaining, few-shot examples, output formatting control, and how to build a personal prompt library that compounds over time.
Every template includes: Platform, Use Case, Prompt, and Expected Output.
If you use any AI tool daily and feel like you're leaving results on the table — this guide teaches you the system behind prompts that consistently produce professional-grade output.
In the Marines, every piece of equipment came with a manual. Darnell Baker applies that same logic to building and running businesses — documenting the systems that solo founders actually need to operate at scale.
Oakland, CA | LinkedIn | FounderFieldManuals