Start here · The Human–AI Loop

Overview

The Human–AI Loop is a repeatable collaboration pattern for leading real work with AI teammates — not just using AI as a prompt tool. It helps teams turn one-off experiments into shared workflows, reusable learning, and better decisions.

We’re less interested in what AI can produce — and more interested in what humans and AI can achieve together.

The Loop in one picture
The Human–AI Loop diagram
The 4 stages
  • Test: Frame the work, test assumptions, sharpen questions.
  • Build: Draft, prototype, and iterate quickly with human-led priorities.
  • Codify: Distill what worked into reusable patterns (templates, checklists, playbooks).
  • Share: Publish decisions + learning so others can reuse and build faster.
Helpful contrast
HITL vs Human–AI Loop
HITL focuses on oversight. The Loop focuses on collaboration — shared work, shared language, and human accountability.
Helpful contrast
Prompt vs Collaboration Engineering
Better prompts help. But the bigger lever is designing the collaboration: roles, context, handoffs, and guardrails.
How to try it with a team (v1)
  1. Pick one real workflow (planning, customer insights, decision writeups, comms).
  2. Run one Loop cycle (Test → Build → Codify → Share) on a small scope for 1–2 weeks.
  3. Capture what changed: clarity, speed, quality, confidence, and team friction.
Want the deeper library? Start with AI literacy and pitfalls: AI Literacy Infopanels.