I want to share a resource that shifted my perspective on working with AI. Anthropic (the company behind Claude) publishes their prompt engineering documentation publicly. It's not marketing material. It's their actual technical guidance on how to get better results from language models. Link: https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview Here's why I think it's worth your time even if you primarily use ChatGPT or another tool: 1. It explains WHY certain approaches work, not just what to do. Understanding the "why" means you can adapt the principles to any platform. 2. It's honest about limitations. They don't pretend their AI can do everything. That kind of transparency helps you calibrate your expectations. 3. The examples are practical. Not academic. Real tasks, real prompts, real output comparisons. The single most useful thing I took from it: Being specific about what you want is more important than being clever about how you ask. Most prompt advice focuses on phrasing tricks. The actual documentation focuses on clarity and context. That maps directly to what we talk about here: the thinking is the work. Clear thinking leads to clear prompts. Clear prompts lead to useful output. Try it on your next prompt and see what happens. Have you found any AI resources that changed your approach? Share them below -- the more practical, the better!

I put together an FAQ covering the most common questions about Connected Intelligence and working with AI in general. Attaching it as a PDF below so you can reference it anytime. It covers: - Getting started (no technical background needed, which tools work, how long it takes) - The core mindset shift ("thinking about the work" vs. doing the work) - Privacy and security basics (what's safe, what to anonymize, the Green/Yellow/Red framework) - All the frameworks explained (DRAG, Three Levers, Information vs. Transformation mode) - What you actually build in each module (Opportunity Matrix, Master Prompt, Prompt Playbook, Tool Stack, Trust Canopy) - Troubleshooting generic outputs and AI misunderstandings - What's coming in Tier 2 and Tier 3 If your question isn't answered in there, post it in the community. That's what this space is for.

If you're getting generic, could-have-Googled-that outputs from AI, try this before you do anything else: Before your next prompt, add one sentence about WHO you are and one sentence about WHO the output is for. That's it. Two sentences. Instead of: "Write an email about our project timeline change" Try: "I'm a project manager at a mid-size marketing agency. Write an email to my client (a VP of Marketing at a Fortune 500 company) about a 2-week timeline delay on their Q1 campaign." Same task. Completely different output. Why this works: AI defaults to the most generic version of any task unless you tell it otherwise. Those two sentences -- who you are and who the audience is -- immediately narrow the possibilities from "any email ever written" to "a specific email for a specific situation." It's not a hack. It's just context. And context is the single biggest lever you have. Try it on your next prompt and see what happens. What's one prompt you've been getting generic results from? Drop it below and I'll show you what two sentences of context could do.