# Three Cubes

> Leader's reviews that translate global AI shifts into decisions for Asia and Australasia, each with a kit you can run in your own AI.

Author: Dan McMahon. Markets covered: Australia, New Zealand, Singapore, Japan, India, Malaysia, Indonesia, Thailand.

## Leader's reviews

- [Agentic checkout in 2026: a review for Asia-Pacific retail leaders](https://threecubes.ai/reviews/agentic-checkout-asia-pacific-2026/): Agentic checkout is reaching Asia-Pacific by three routes. Ratings for eight markets and five organisation types, four options compared, and a kit to test it.

## Guides

- [What is an agent boss? How to manage AI agents like a team](https://threecubes.ai/guides/agent-boss/): An agent boss briefs, checks and manages AI agents the way a good manager runs a team. What the role involves, the four stages it grows through and where people stall.
- [What an AI agent needs around it before you can rely on its output](https://threecubes.ai/guides/agents-need-operating-discipline/): AI agents add capacity when the work around them has a role, sources, a quality bar, a stopping point and a named owner. A seven-part checklist for leaders.
- [Why AI agents need memory, and what I learnt building it](https://threecubes.ai/guides/ai-agents-need-memory/): AI agents without memory start from zero every session, so early gains flatten. What agent memory involves, and what I learnt building and testing my own.
- [Why most AI transformations stall at base camp](https://threecubes.ai/guides/ai-transformation-base-camp/): Most AI programs measure deployment: tools live, licences bought. Rate of learning tells you more about results. Why Australia shows the gap clearly, and what to change.
- [The mask, the mission and the space between us: loneliness at work](https://threecubes.ai/guides/loneliness-at-work/): Workplace loneliness often looks like competence: the busy, responsive colleague who no longer feels known. What the data says, and what colleagues and leaders can do.
- [The correction log: why AI agents repeat the same mistakes](https://threecubes.ai/guides/the-correction-log/): A correction made in conversation stays in that conversation, so AI agents repeat the same mistakes. Writing corrections down as rules is what makes them last.
- [The delegation trap: why capable people and agents keep doing the work](https://threecubes.ai/guides/the-delegation-trap/): Strong performers struggle to delegate because doing a task themselves is faster this week. AI agents fall into the same habit. How to spot it and how to break it.
- [The confidence trap: when an AI agent is certain and wrong](https://threecubes.ai/guides/the-confidence-trap/): AI agents sound equally sure whether they know or are guessing, and people tend to trust that fluency. Two standing rules that make agents say what they don't know.
- [Culture comes before agents: what AI exposes about how you work](https://threecubes.ai/guides/culture-comes-before-agents/): AI agents do exactly what they are told, so they find every habit a team never wrote down. Why culture comes first with agents, and how to make it explicit.

## Analysis

- [AI fluency is a leadership capability now](https://threecubes.ai/analysis/ai-fluency-is-a-leadership-capability/): Leaders need enough AI fluency to judge whether the work, controls and accountability around AI are ready for its output to be trusted. What that means in practice.
- [Consulting has an experience problem, and AI is making it worse](https://threecubes.ai/analysis/consulting-has-an-experience-problem/): AI works best in experienced hands, just as firms cut the graduate roles that build experience. Where the next experienced operators come from, and what firms can do.
- [What enterprises pay for when they buy AI](https://threecubes.ai/analysis/enterprises-buy-outcomes-not-models/): Buyers ask how AI makes a job quicker, easier or better, and rarely which model it runs. Why job-specific AI products sell, and why shadow AI is a demand signal.

## About

- [How reviews work](https://threecubes.ai/method/): ratings, evidence labels and the Monday kit
- [About Dan McMahon](https://threecubes.ai/about/)