Practical guides for building with AI as a teammate.
From foundational setup to daily workflows. Pair these playbooks with the Human–AI Literacy Library for the big ideas and language you can share with your team.
📚 Core Playbooks
These guides walk you through the fundamentals of building an AI collaboration practice. Start with the Project Binder, then work through the series to establish your workflow.
Project Binder Setup
Set up AI collaboration context in 15 minutes. The foundation for everything else.
Read Guide →Message Bus Protocol
Carry context between AI teammates. Master the human-as-message-bus pattern.
Read Guide →Teach AI Your Voice
Help AI match your communication style. Practical exercises and examples.
Read Guide →Identify AI Strengths and Roles
Assign tasks based on AI capabilities. CP for speed, Soph for synthesis.
Read Guide →Organize Your Workspace
Build a simple, reliable system for projects, prompts, and context.
Read Guide →The 4 Moments That Taught Me
Stories from the loop that shaped how I build with AI today.
Read Guide →📖 Human–AI Literacy Library
Short, visual explainers and frameworks for the concepts you need to collaborate with AI inside real work. This library includes core literacy episodes (how AI behaves) and infopanels / comparisons (how to design collaboration, trust boundaries, and decision ownership).
Core Literacy Episodes — How AI Behaves
Foundational concepts: how models predict, drift, forget, and sometimes generate confident nonsense — plus how to work with that reality without losing human judgment.
Why AI Hallucinates
What hallucinations are (and aren’t), where they come from, how to spot them, and how to design prompts and workflows around them.
View panel →Anthropomorphism Isn’t the Problem
Why modern AI feels human, and how treating it like a teammate can improve the work when humans stay accountable for vision and judgment.
View panel →When AI “Forgets”
Catastrophic forgetting vs. conversation-time “forgetting,” and how to work with models that lose the thread without losing your mind.
View panel →Which Model Is My AI Tool Using?
A practical guide to which underlying model powers your tools, why it matters, and how to ask better questions about risk and capability.
View panel →InfoPanels & Comparative Frameworks — Collaboration Design
Practical models you can reuse with teams: tradeoffs, trust boundaries, feedback loops, and decision ownership. This is where “AI as a teammate” becomes a designable collaboration system — not a slogan.
Impostor Syndrome & AI Hallucinations
A side-by-side look at human self-doubt and machine overconfidence — and why collaboration is the real winning hand.
View panel →Not All AI Should Be Your Teammate
How to tell the difference between AI you should treat as a collaborator and AI that’s best used as a tool with clear boundaries.
View panel →Five Principles of Human–AI Collaboration
The non-negotiables for treating AI as a true teammate — keeping humans at the center while AI accelerates the work around us.
View panel →Inside The Human/AI Triad
One human, two AI teammates — a concrete way to design roles, rhythm, and shared context for collaboration.
View panel →Inside The Collaboration Loop
A simple model for leading real work with AI partners — from brief, to exploration, to alignment, to decisions you can stand behind.
View panel →Prompt Engineering vs Collaboration Engineering
When AI is a tool vs a teammate — and how to design collaboration patterns, not just clever prompts.
View panel →Building the Plane vs Rebuilding the Cockpit at 30,000 Feet
Teams adopt AI while still shipping. This comparison shows why augmentation is a collaboration design problem — context systems, trust boundaries, decision ownership, and feedback loops — not just a tooling rollout.
Read / view →🎯 Tools in Action
The playbooks teach the methodology. The literacy panels explain the concepts. These tools show what it looks like when you build real apps with The Triad model.
📘 Guides & Setup
Quick reference guides and setup instructions for specific tools and workflows. Use these alongside the playbooks and literacy panels to keep your system grounded.
📘 Universal Guides
Applicable across all AI platforms.
🎙️ ChatGPT-Specific
Setup and workflows for ChatGPT / CP.
🤖 Claude-Specific
Setup and workflows for Claude / Soph.
🔮 More Coming Soon
We’re adding more guides based on real project learnings:
- → Advanced context management
- → Multi-thread project coordination
- → Team collaboration patterns
- → Quality assurance workflows
- → And more…
💡 The Philosophy
These playbooks emerge from real work—not theory. Built by The Triad over months of collaboration on production projects.
Every guide:
- ✓ Battle-tested in production
- ✓ Written for practitioners
- ✓ Includes examples and templates
- ✓ Updated as we learn
The apps you see on GitHub were built using these methods. The playbooks document the “how” behind the “what.”
Learn more about The Triad and our collaboration model.
© 2025 Maura Randall | Built with The Triad model
Last updated: November 2025
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