Better prompts.
Better results.
Most people get mediocre results from AI because they don't know how to prompt effectively. These resources change that.
The techniques here are based on understanding how AI actually processes language and generates responses. Once that clicks, everything else follows naturally.
Prompting techniques that actually work
Each technique includes five ready-to-use templates, examples, and guidance on when to apply it.
Assign AI a specific expert role to activate relevant knowledge patterns and specialized language for higher-quality, contextually appropriate outputs.
Describe complete situations with context, constraints, and objectives to help AI generate responses tailored to your specific circumstances.
Ask straightforward questions without examples or elaborate setup. Best for simple tasks where AI already has strong pattern associations.
Request step-by-step reasoning to improve accuracy on complex problems. Makes AI's logic visible and correctable.
Add "Let's think step by step" to trigger reasoning without providing examples. Quick way to improve complex task performance.
Provide explicit step-by-step instructions for AI to follow. Perfect for standardizing outputs and replicating specific workflows.
Provide rich background information to dramatically improve output quality. Context helps AI understand situation, audience, and constraints.
Constrain responses to yes/no or this/that choices. Eliminates ambiguity and forces clear, decisive answers.
Give AI specific options to choose from. Reduces decision fatigue and ensures responses align with your predetermined preferences.
Provide structured templates with blanks for AI to complete. Perfect for maintaining consistent format while varying content.
Build understanding through back-and-forth dialogue. Let AI ask clarifying questions before generating final output.
Learn the fundamentals
Most AI content jumps straight to advanced techniques. We start with how it actually works.
34-video series on how AI actually works
Once you understand that AI is pattern completion, not reasoning, everything else makes sense. Context windows, hallucinations, prompting — it all clicks when you have the right foundation.
- What AI actually does (pattern completion)
- Why it forgets (context windows)
- Why it hallucinates
- What it's good and bad at
- How 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
20-video series on AI workflows for real businesses
Each video solves a specific business problem with a copy-paste prompt and a live demo. Emails, proposals, SOPs, change orders, performance reviews — the kind of work that eats your time every week.
- Business emails that get responses
- Meeting notes into action items
- Proposals that close deals
- Cold outreach that feels personal
- Professional client reports
- Customer service at scale
- SOPs people actually follow
- Job descriptions that attract the right people
- Social content you're proud of
- Change orders that prevent disputes
- Performance reviews that help people grow
- Product descriptions that sell
- Training materials people want to read
- Contract review for the easy stuff
- Competitive analysis without drowning
- Build your own AI workflow
Need help applying this to your business?
These resources teach the fundamentals. We help you figure out where they actually fit in your day-to-day operation.