Guides, Templates, Cheat Sheet, Video & More…
The AI Confidence Playbook

It wasn’t written for “tech people”
It’s made for real humans who are just trying to keep up. Whether you’re a small business owner holding it all together, a manager doing more with less, a solo founder juggling big dreams, or part of a family business that predates hashtags, this guide is for you.
Inside, you’ll learn the practical basics of using AI tools like ChatGPT, Meta AI, and Claude to save time, simplify work, and actually get things done—without needing a background in tech or a 20-tab meltdown.
Guide: Creating LinkedIn Carousels Using AI

AI-Powered LinkedIn Carousel Builder
Turn scroll-stopping content into a repeatable system. This step-by-step guide walks you through using an AI chatbot to generate ideas, convert them into eye-catching slide decks, and schedule them directly on LinkedIn—even if you still call it ‘the LinkedIn.’
Perfect for creators, consultants, and anyone tired of staring at blinking cursors.
Cheat Sheet: Gemini in Gmail

Gemini in Gmail: The Ultimate Cheat Sheet
Unlock Gemini inside Gmail like the productivity wizard you secretly are. This one-pager shows you how to activate Gemini (Google subscription required) and gives you a power-packed list of email, follow-up, and inbox-zero prompts so good, your co-workers might think you’ve been replaced by AI. (You have. It’s fine.)
Guide: Using AI for Research

AI Research Prompt: From Search to Deep Dive
Stop doom-scrolling and start smart-scrolling. This quick-start guide teaches you how to use AI for real research—light digging with search tools, then deep, intelligent exploration using ChatGPT, Gemini, and Grok. Fast, focused, and fluff-free.
If you’re still Googling like it’s 2007, this guide will change your life—or at least your tabs.
Guide: AI Workflow Mapping – Is AI for you?

AI Workflow Mapping Guide
This simple, downloadable template PDF guides you to document your top 3-5 most repetitive manual workflows. It prompts you to identify steps, time spent, data inputs/outputs, and common errors for each process, making it easy to spot potential AI automation points without technical expertise.
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