What is the difference between Tier 1, Tier 2, and Tier 3?

Each tier builds on the last. Tier 1 (Foundations) teaches how to think with AI and get consistent results — self-paced, 5 modules, works with any AI tool. Tier 2 (Systems) covers building repeatable AI workflows — cohort-based, 4-6 weeks. Tier 3 (Architecture) covers designing AI-powered systems — high-touch small group, 8-12 weeks. Tier 1 is available now.

Connected Intelligence: Learn to Work WITH AI

Name: Connected Intelligence
Price: 297 USD
Availability: InStock

Good • Better • Best

Three Levels of Depth

Click a tier to explore the curriculum. Start where you are. Go as deep as you need.

Good

Foundations

Build the mental models for working with AI. Understand how AI thinks, how to communicate with it effectively, and how to design workflows around your actual needs.

Who it’s for: Professionals who use AI tools but want to understand the thinking behind them.

Format: Self-paced modules + community access on Skool.

Founding member price: $297/year (founding member — limited spots)

Standard price: $497/year

Better

Systems

Go beyond individual prompts. Learn to build multi-step AI workflows, create persistent context systems, and design agent architectures that match your work.

Who it’s for: Knowledge workers and operators ready to build real AI infrastructure.

Format: Guided cohort + hands-on projects + community.

Price: Coming soon.

Best

Architecture

Design AI-native operating systems for yourself or your team. Multi-agent coordination, governance frameworks, knowledge management, and the organizational design that makes it all work.

Who it’s for: Leaders and technical professionals building AI into their operating model.

Format: Small cohort + direct access to Daniel + custom implementation support.

Price: Coming soon.

Tier 1 Curriculum

AI Fluency — 5 Modules

Each module builds on the last. Every one produces a deliverable you keep and use immediately.

The AI Mindset Shift

The Thinking Revolution, six irreducibly human domains, and the Green/Yellow/Red task framework. You’ll build your AI Opportunity Matrix — a categorized map of your actual work tasks.

How AI Actually Works

AI as a “new team member with amnesia.” The Three Levers (Context, Task, Mode), the Consolidated Framework, and why brain-dumping beats organizing. You’ll build your Personal AI Framework Map.

Building Your Context

The 6-component Master Prompt framework and the AI Interview technique. Context is 70%+ of output quality. You’ll build your Master Prompt — a portable document that makes AI stop treating you like a stranger.

Prompting That Works

7 Power Phrases, progressive prompting matched to task complexity, and debugging prompts that don’t work. You’ll build your Prompt Playbook — a personal library matched to your job.

Choosing Your Tools

The 6-question Decision Framework, the Trust Canopy for per-function trust calibration, and the cognitive architecture reveal. You’ll build your Personal Tool Stack and Trust Canopy Worksheet.

Tier 2 Curriculum

Systems — 6 Modules

Move from single-agent work to multi-step systems. Build infrastructure that lasts.

Multi-Step AI Workflows

Chain prompts, build sequences, and create repeatable processes. Move beyond one-shot interactions to workflows that compound results.

Persistent Context Systems

Instruction files, CLAUDE.md architecture, and memory design. Build the long-term context layer that makes AI actually useful over time.

Knowledge Base Design

Organize your information so AI can actually use it. File structures, naming conventions, and retrieval patterns that scale.

Agent Specialization

Move from one general AI to role-specific agents. Define scopes, personalities, and guardrails. Specialization beats generalization.

Integration Architecture

Connect AI to your existing tools and platforms. APIs, MCP integrations, and the connective tissue between your AI and your work.

Workflow Optimization

Measure, iterate, and improve your AI systems. Identify bottlenecks, reduce friction, and build feedback loops that make the system smarter over time.

Tier 3 Curriculum

Architecture — 6 Modules

Design AI-native operating systems. This is where individuals become organizations.

AI-Native Org Design

Redesign your operating model around AI capabilities. The C-suite metaphor, role definition, and the organizational patterns that make multi-agent systems work.

Multi-Agent Coordination

Handoff protocols, shared context, and agent-to-agent communication. How to build a team of agents that work together without stepping on each other.

Governance Frameworks

What AI can and can’t do. Approval workflows, permission systems, and the safety rails that make autonomous agents trustworthy.

The Execution Graph

Your organization isn’t a chart anymore. It’s a living network of humans, agents, data, and permissions that converts intent into outcomes.

Knowledge Management at Scale

Build systems that learn and improve over time. Institutional memory, discovery logs, and the infrastructure that makes organizational learning automatic.

Measuring What Matters

ROI, impact metrics, and the outcomes that don’t show up on dashboards. How to know if your AI system is actually making things better.

Enroll Now

Connected Intelligence: AI Fluency

5 modules. 13 templates. A complete cognitive architecture — built around your actual work.

$297 /year — founding member price (limited spots)

Standard price: $497/year after founding spots fill.

Enroll Now on Skool →

Or join the free community first and explore before you buy:

Your Instructor

About Daniel Walters

15+ years in marketing technology. 50+ teams across industries. 100+ operational systems designed. Daniel doesn’t teach AI theory — he teaches from the system he built and runs every day.

Diagnosed with AuDHD as an adult, Daniel built a cognitive architecture because his brain demanded it — a network of 19 specialized AI agents that manages his calendar, drafts his content, reviews his decisions, and coordinates his entire business. Then he discovered the same system works for everyone.

He’s not an academic studying AI from the outside. He’s a practitioner who lives inside the system he teaches. Every framework in this course comes from real work, not hypotheticals.

Read the full story →

What People Say

From People Who’ve Worked with Daniel

“Daniel has a rare quality of being able to explain tech to a layperson while understanding how that tech will be used. His ability to translate vision into action, and map that into a system, is the missing link between idea and execution.”

Tim Stephens — Die Hard Sports Network

“Daniel is as smart as he is creative, and he brings an outside-in-approach to each challenge he tackles for both his network and his clients. His systems thinking approach is a strong asset to any business.”

Chris Cleland — Revenue Wolf

“I’ve known Daniel for years and he’s always been the guy who sees the system behind the system. Most people talk about AI like it’s magic — Daniel actually shows you the wiring. He built me something in a day that would’ve taken my team months to even scope.”

Parker Pursell — Pursell Farms

“I’ve worked with Daniel across multiple projects and capacities, and what stands out is his structured approach to systems thinking. He sees how people, process, and technology connect in ways I’d never considered before. He also brings an EOS mindset to using AI.”

Lee Handley — EOS Worldwide, Professional Implementer

FAQ

Common Questions

What is Connected Intelligence?

Connected Intelligence is a course for professionals who want to stop guessing with AI and start getting consistent, real results from it. Most AI courses teach tool features that expire with the next update. This one teaches you how to think with AI.

You’ll build what we call a cognitive architecture — a deliberate system for how you think, decide, and work alongside AI tools, built around who you actually are and what you actually do.

The core idea: the doing isn’t the work anymore. The thinking is the work.

Who is this course for?

Connected Intelligence is built for mid-career professionals — people with 5–15+ years of experience in fields like marketing, operations, HR, finance, or consulting — who know AI matters but haven’t figured out how to make it consistently useful.

You’ve tried ChatGPT a few times but mostly get generic, unusable output
You feel like everyone else figured out AI and you missed the memo
You’re good at your job but worried about falling behind
You want practical skills, not hype or theory

This course is not for developers, engineers, or people already building AI agents. It’s for the professionals those tools are supposed to serve.

Do I need to know how to code?

No. Zero coding required, zero technical background assumed. Connected Intelligence teaches thinking frameworks and practical skills — not programming. You’ll work directly in AI tools (typing prompts, reviewing output, building workflows) but you’ll never write a line of code.

If you can write an email and use a web browser, you have all the technical skills you need.

What’s the difference between Tier 1, Tier 2, and Tier 3?

Each tier builds on the last — from understanding AI to building with it to running it.

Tier 1 (Foundations): How to think with AI and get consistent results. Self-paced, 5 modules. Works with any AI tool.
Tier 2 (Systems): Build repeatable AI workflows into your daily work. Cohort-based, 4–6 weeks.
Tier 3 (Architecture): Design and manage AI-powered systems. High-touch small group, 8–12 weeks.

Tier 1 is available now. Tiers 2 and 3 are coming — join the community to get on the waitlist.

Is this an AI prompt engineering course?

No — and that’s intentional. Prompt engineering courses teach you tricks: magic phrases, templates, copy-paste formulas. Those stop working every time the tools update.

Connected Intelligence teaches you why certain approaches work, so you can adapt when things change. Module 4 does cover prompting technique, but it’s framed as “thinking made visible” — you learn the reasoning behind effective prompts, not just the prompts themselves.

The difference: prompt engineers memorize moves. Connected Intelligence students understand the game.

What platform is the course on?

Connected Intelligence lives inside a free Skool community run by Daniel Walters. You can join the community for free — no purchase required. Inside, you’ll find discussions, frameworks, and a free AI 101 intro course. The full Connected Intelligence course is available as an annual subscription within the community.

How long does each tier take to complete?

Tier 1 (Foundations): ~5–6 hours of content across 5 modules. Self-paced — most people complete it in 2–4 weeks doing a module per week.

Tier 2 (Systems): 4–6 week cohort program with ~6–7 hours of module content plus live group calls.

Tier 3 (Architecture): 8–12 week intensive with ~8.5 hours of facilitated workshops plus project work.

Tiers 2 and 3 are not yet available — Tier 1 is live now.

Will this work with ChatGPT, Claude, or other AI tools?

Tier 1: Yes — it’s tool-agnostic. The principles you learn work with Claude, ChatGPT, Gemini, or whatever comes next. Primary demos use Claude, with callouts for other platforms. The philosophy: principles transfer, features don’t.

Tiers 2–3 go deeper into specific tools (Claude ecosystem), so those tiers are Claude-specific. But by then, you’ll understand why — and you’ll have the foundation to apply the thinking anywhere.

Is there a community or just self-paced content?

Both — and the community is free. The Skool community is open to everyone, even if you don’t buy the course. Inside you’ll find discussions with other professionals figuring out AI, regular content from Daniel, and direct access to ask questions.

Course students get the structured 5-module curriculum with exercises, workbooks, and deliverables you build as you go. Each module produces something you’ll actually use in your work — not just notes you forget.

When does enrollment open?

Tier 1 is live now. Founding member pricing ($297/year) is available for the first 20 students. Once those spots fill, the price goes to $497/year. Enroll here.

Tiers 2 and 3 are in development. Community members will get first access and waitlist priority.

Connected Intelligence

The Problem With “Learn AI”