Prompting Resources
Get better results from AI with proven prompting techniques
Most people get mediocre results from AI because they don't know how to prompt effectively. These resources teach you the techniques that actually work, based on understanding how AI processes language and generates responses.
11 Prompting Techniques
Each technique includes 5 ready-to-use templates, examples, and guidance on when to use them
Role-Based Prompts
Assign AI a specific expert role to activate relevant knowledge patterns and specialized language for higher-quality, contextually appropriate outputs.
Scenario-Based Prompts
Describe complete situations with context, constraints, and objectives to help AI generate responses tailored to your specific circumstances.
Direct Prompts (Zero-Shot)
Ask straightforward questions without examples or elaborate setup. Best for simple tasks where AI already has strong pattern associations.
Chain of Thought Prompts
Request step-by-step reasoning to improve accuracy on complex problems. Makes AI's logic visible and correctable.
Zero-Shot Chain of Thought
Add "Let's think step by step" to trigger reasoning without providing examples. Quick way to improve complex task performance.
Instructional Prompts
Provide explicit step-by-step instructions for AI to follow. Perfect for standardizing outputs and replicating specific workflows.
Contextual Prompts
Provide rich background information to dramatically improve output quality. Context helps AI understand situation, audience, and constraints.
Binary Prompts
Constrain responses to yes/no or this/that choices. Eliminates ambiguity and forces clear, decisive answers.
Multiple-Choice Prompts
Give AI specific options to choose from. Reduces decision fatigue and ensures responses align with your predetermined preferences.
Fill-in-the-Blank Prompts
Provide structured templates with blanks for AI to complete. Perfect for maintaining consistent format while varying content.
Conversational Prompts
Build understanding through back-and-forth dialogue. Let AI ask clarifying questions before generating final output.
Learn the Fundamentals
Making AI Make Sense Video Series
Most AI content jumps straight to advanced techniques without explaining how these systems actually work. Our approach is different: we start with the foundation and build up systematically. Once you understand that AI is pattern completion (not reasoning), context windows (not memory), and statistical matching (not comprehension), everything else makes sense.
What You'll Learn:
- What AI actually does (pattern completion)
- Why it forgets (context windows)
- Why it hallucinates (confidence vs. accuracy)
- What it's good and bad at
- How different prompts activate patterns
- Common mistakes that ruin results
- Using examples effectively
- Breaking down complex tasks
- AI agents and automation
- RAG and training vs. prompting
- Chain of Thought reasoning
- Multimodal AI and alignment
Bonus Resources
ChatGPT Business Starter Pack
10 essential prompts for emails, meetings, customer service, social media, hiring, and more daily business tasks.
Get Starter Pack →Need Help Implementing AI in Your Business?
These resources teach the fundamentals. We help you apply them to your specific business challenges.
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