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Feb 10 •
Welcome to Digitally Demented. Here's what you walked into.
I'm Daniel Walters. 15+ years in operations and marketing technology -- the intersection where marketing, tech, and operations either connect or fall apart. I'm the person who sits between people who build things and people who use them. I translate in both directions. I'm not a developer. I'm AuDHD (late-diagnosed), which means I think in systems and frameworks whether I want to or not. I built a 19-agent AI system to run my consulting business, and I'll tell you straight when something doesn't work. That's not a warning -- it's a feature. A while back, something clicked for me: the doing isn't the work anymore. The thinking is the work. AI can draft your emails, research your competitors, analyze your data. That's not coming -- that's here. And most professionals I talk to are in one of three places: 1. Stuck. They know AI matters but don't know where to start. 2. Skeptical. They tried it, got mediocre results, and assumed AI was overhyped. 3. Spinning. They're using AI but starting from scratch every single time. If any of that sounds like you, you're in the right place. This community exists because I got tired of watching smart people feel dumb about AI. What's here: - AI 101 (Free Course) -- Start here. Fundamentals without jargon. Classroom tab. - Connected Intelligence: AI Fluency (Paid Course) -- 5 modules where you build your own cognitive architecture -- a working system for how you think and operate with AI. Every module produces a deliverable you keep. Details in the Classroom. - Community -- Questions, wins, frustrations, resources. The only rule is be real. What I ask: - Introduce yourself below. Who you are, what you do, what brought you here. Even one sentence. - Be direct. If something I post doesn't make sense or you disagree, say so. Honest conversation is how this place works. - Share your work. AI wins, failures, experiments. We learn more from the failures. Your first move: 1. Drop an intro in the comments 2. Check out AI 101 in the Classroom 3. Browse what others are talking about and jump in
22h •
Update - AL AI Innovation Summit Next Week
There are a couple of great academic events going on locally (here in Alabama) next week. The big one for me is the AL AI Innovation Summit - to which my poster presentation has been ACCEPTED!!! I'm excited to bring the idea of cognitive architecture and a working prototype to the summit next week. Also - over the weekend, I'm working on finishing getting my own cognitive architecture online, with the ability for others to use! There will be free trials available for people to be able to try it to see if it's right for them. I hope that all of you will be able to try it out. And as a thank you for being a part of this community - I'd like to extend the free trial for each of you for an additional two weeks. More details and an announcement post to come...
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3d •
Your AI is only as honest as your data
I'm prepping a talk for a sales group tomorrow and I keep coming back to the same thing. Most people think AI's big promise is speed. Get answers faster, automate more, scale everything. And yeah, it does that. But here's what nobody's talking about: **AI doesn't question your inputs. It amplifies them.** If your CRM notes are written a day after the conversation — you're not giving AI the truth. You're giving it a reconstruction. If your project tracker says something is "in progress" because nobody updated the status — your AI sees active work. The project's been stalled for two weeks. This isn't an AI problem. It's a context problem. I ran into this while building my own system. The AI wasn't wrong — it was confidently right about garbage data. The output looked great. The thinking behind it was hollow. Here's the test I keep running on myself: What do I know right now that isn't in any system? That gap — between what's in your head and what's in your tools — that's where AI goes blind. What's something you know about your work right now that isn't written down anywhere? And what would change if your AI actually had access to it?
12d •
Tiago Forte just validated everything you're building.
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.
13d •
90% of people using AI are using it wrong — and it's not their fault.
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?
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AI isn't a tech problem. It's a psychology problem. Daniel Walters teaches you how to think with AI — not just use it.
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