If you follow the PKM (Personal Knowledge Management) world at all, you probably saw this: Tiago Forte — Building a Second Brain, 1M+ followers — just announced something he’s calling “Personal Context Management.” He’s launching an “AI Second Brain” cohort around the idea that your personal knowledge system needs to become the context layer for AI. Sound familiar? I’m not saying this to gloat. I’m saying it because this matters for you. When someone with Tiago’s reach tells a million people that the future is organizing your thinking so AI can actually use it — that’s not competition. That’s air cover. He just did millions of dollars worth of market education for the exact problem we’re solving. The difference is in what happens next. Tiago is selling a cohort. You’re building architecture. A cohort ends. You get frameworks, maybe some templates, and then you’re on your own. What you’re building here — CLAUDE.md files, agent systems, handoff protocols, the whole cognitive architecture — that compounds. Every session makes it smarter. Every agent learns your context better. Every workflow you design becomes infrastructure you own. Tiago’s cohort will teach people to organize context for AI. You’re already deploying it. Here’s the strategic play for this week. I’m publishing LinkedIn content that rides this wave — connecting what Tiago announced to what cognitive architecture actually looks like in practice. The timing is perfect. I need your help amplifying it. The post is up now - https://www.linkedin.com/posts/danielwalters_cognitivearchitecture-aiworkflow-activity-7441923448932765696-e7VH 1. Like them (algorithm fuel) 2. Comment with your own experience (social proof that isn’t me talking about me) 3. Share if it resonates (extends reach beyond my network) This isn’t vanity metrics. When a million people just got told “personal context management is the future,” and our community is already doing it — we want to be visible in that conversation.

Harvard Business Review just published one of the most important AI studies I've seen. They tracked 2,500 employees at KPMG over 8 months. Analyzed 1.4 million AI prompts. The finding: 90% adopted AI. Only 5% use it with any sophistication. That's not a training problem. KPMG already trained these people. They had access, they had tools, they had support. And still — 85% of them are basically using a Ferrari to drive to the mailbox. Here's what surprised me most: how often you use AI has almost nothing to do with how well you use it. The "just use it more" advice is dead. The study killed it with data. The 5% who actually get results? Four things set them apart: 1. They treat AI as a reasoning partner, not a search engine 2. They delegate complex, multi-step tasks — not one-off questions 3. They define roles, constraints, and success criteria before they prompt 4. They use AI as a general-purpose thinking tool across their whole job — not just for writing emails And here's the part that matters for everyone in this community: the sophisticated users were almost all experienced professionals. Not the youngest people in the room. Not the most "tech-savvy." The people with the deepest understanding of their work. Your experience IS the advantage. Contextual range — knowing what good looks like because you've seen bad — is what makes AI actually useful. AI doesn't replace your judgment. It amplifies it. But only if you know how to think with it, not just use it. The 85% gap isn't going to close with better prompts or more YouTube tutorials. It's going to close when people stop treating AI as a tool and start treating it as an extension of how they think. That's what we're building here. **What's your experience?** Are you in the 5%, the 85%, or somewhere in between? And what do you think is actually holding most people back?

You typed a perfectly good prompt. AI gave you something a high schooler could've found on page one of Google. Sound familiar? Here's the fix. 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. Thirty seconds. Instead of: "Write a follow-up email after a consulting call" Try: "I'm an operations consultant who just had a discovery call with a small business owner exploring AI for the first time. Write a follow-up email that references our conversation about their team's workflow bottlenecks and proposes a next step." 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. (This is the simplest version of what I teach in Connected Intelligence — context before content.) 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.

Before I get into the details — thank you. Some of you paid before a single module was finished. Some of you joined because I asked you to poke holes in something I was building. Either way, you showed up before there was anything to show up for, and I don't take that lightly. This community exists because of the people in this room. That's not a tagline. It's just true. The course is officially "live". All 5 modules have comprehensive text guides with exercises, frameworks, and a 13-template workbook. Video walkthroughs are being added module by module — founding members get every update as it ships. Here's what it is, what you get, and why I'm offering a founding member price. The short version: Connected Intelligence: AI Fluency is a 5-module course for non-technical professionals who've tried AI and know they're not getting what's possible. You'll build your own cognitive architecture -- a deliberate system for how you think, decide, and operate with AI, designed around your actual work. Self-paced, and every module produces a deliverable you keep. What you'll build: 1. AI Opportunity Matrix -- Your actual work tasks categorized by what AI should handle, assist with, and never touch. 2. Master Prompt -- A portable context document that makes AI stop treating you like a stranger. 3. Prompt Playbook -- 5+ prompts built for YOUR job, not generic templates. 4. Personal Tool Stack -- Which AI for which task, based on a decision framework that won't expire next month. 5. Personal AI Framework Map -- The mental model that ties it all together. The founding member deal: **Founding Member**: $297 one-time (20 spots) — Full course access, all future updates, video walkthroughs added as they ship, your feedback directly shapes what's next. **Standard** (after founding spots fill): $497 one-time — Full course access, all videos included. No subscription. No annual renewal. Pay once, you're in. Why the discount is real: I'm not manufacturing scarcity. The founding member price is lower because you're betting on something new. I don't have 500 testimonials or a waitlist of 10,000 people. What I have is 15+ years in the field, a 19-agent AI system running my business, and a course I spent months building because I watched too many smart people struggle with AI for the wrong reasons.

Quick check-in. What’s on your plate this week — and is AI touching any of it? I’ll go first. I had 9 meetings this week that I recorded. Consulting calls, coaching sessions, networking conversations. Every one of them produced action items, follow-ups, commitments, and details I need to remember months from now. Old me would’ve spent the rest of the week replaying recordings and scribbling notes. Instead, I ran them through a transcription and debrief pipeline — and had structured outputs for every single call in under an hour. Commitments tracked. Follow-up emails drafted. Client files updated. The meetings were the work. The processing wasn’t — that’s the system’s job now. Your turn. What are you working on? Doesn’t have to involve AI — but if it does, I want to hear what’s working and what’s not.