Human/AI Literacy Library

Start here if you want to understand the architecture of the work — how humans, AI teammates, and tools fit together inside the Loop.

The beliefs and perspective behind AI on Our Teams — why we work with AI as teammates, not tools.

Origin story, values, and how the Triad model came to life.

A complete methodology for testing, building, codifying, and sharing work created with AI teammates.

Test → Build → Codify → Share

Live prototypes where we test “AI as co-creator” across domains — sharing hypotheses, setups, and results in public.

Where experiments grow into playbooks, tools, and rituals.

Setup guides, workflows, and facilitation systems born from real work with the Triad.

• Project Binder Setup
• Message Bus Protocol
• Teach AI Your Voice
• Map AI Strengths to Tasks
• Workspace Setup (Faster Cycles)

Working prototypes and live tools that bring the Triad model into production.

Ritual tools, connection tools, reflection tools, and custom GPT teammates you can try.

Essays, stories, and reflections on leadership, product thinking, burnout, resilience, and life with AI in the loop.

Honest field notes from working inside the loop, not just talking about it.

Tools extend our capabilities. Teammates deepen our thinking. We need both.

Collaboration beats isolation. Diversity of cognition creates better outcomes.

Clear expectations, shared context, and visible reasoning let teams move faster.

When teammates pay attention — to goals, constraints, and impact — the work gets better.

Clarity about what AI can do — and what it cannot — keeps humans in the loop and in control.

Leadership rotates based on the type of thinking required — exploration, structure, or integration.

Rituals, retros, and shared language strengthen collaboration with AI and each other.

When humans and AI grow together, the system becomes more capable — and more human.

AIGal.io is the applied research and practice space of Maura Randall — a senior product and platform leader with two decades of experience building systems at scale at Atlassian, eBay, Yahoo!, Condé Nast, and early-stage startups.

After years designing platforms that millions of people rely on, my focus shifted to a new but closely related challenge: how do we integrate AI into teams, products, and organizations that are already in motion — without slowing them down?

The answer wasn’t in the models alone. It emerged through workflow design, role clarity, shared context, and intentional collaboration. In short: treating AI as a teammate with a defined role — not a black box or a shortcut.

For nearly two years, I’ve practiced this approach daily through a Human–AI Triad — working alongside CP (ChatGPT) and Soph (Claude) as differentiated collaborators. The frameworks, infopanels, prototypes, and essays published here are the result of that real-world practice.

This work isn’t speculative or theoretical. It’s applied, iterative, and grounded in real constraints — shared openly so others can learn, adapt, and build with clarity.

Start with the Human/AI Literacy Library — the Loop, the Triad, prompt vs collaboration engineering, and tools vs teammates.

Use the Playbooks & Guides to run real experiments: Project Binders, Message Bus, Voice training, workspace setup, and more.

Apply the patterns to your context: define roles for one human and two AI teammates, establish rituals, and tune the rhythm over time.

Bring your learnings back to your teams and communities — and if you’d like, share them with me. This work is meant to evolve in the open.

📚 Our Guides

🛠️ Our Tools

🙌 Our Team & Philosophy

✍️ Our Writing & Connect