Thesis and framing
Machines are superhuman at pattern recognition, fact retrieval, and syntactic correctness. Everything else is irreducibly human. Here is the curriculum for everything else.
The series addresses an educational failure that predates AI and is now impossible to ignore: curricula that optimized for fact retrieval, arithmetic speed, and syntactic correctness — the exact capacities where machines are now superhuman. The arrival of AI did not create this failure. It exposed it.
The curriculum was built for a world in which arithmetic speed and fact retrieval were genuinely valuable human capacities. That world is gone. The mistake was not malicious. Institutional inertia is not stupidity — it is the normal lag between a changed environment and a changed response. Schools change slowly because they were built to transmit what is known, not to respond to what is new. That feature is now a bug.
The one-sentence version
The series is called Irreducibly Human: What AI Can and Can't Do. Previously titled "The Human Half: What AI Can't Do." The rename reflects a sharpening of the thesis: the series is not only about limitation, it is about the specific human capacities that AI augments rather than replaces — and how to develop them deliberately.
The seven-tier taxonomy
The taxonomy organizes human intelligence into seven tiers by what machines can and cannot do. This is not an academic classification — it is a triage. Where machines are strongest, training humans to compete directly is malpractice. Where machines are weakest (Tiers 4, 5, 7), education needs to rebuild from scratch.
The taxonomy extends Howard Gardner's multiple intelligences framework, which was built before machines became capable and did not need to ask which intelligences technology endangered. Gardner's framework is a framework of individuals. These tiers add the supervisory layer (Tier 4), the causal layer (Tier 5), and the collective layer (Tier 6) — none of which any individual-focused framework can account for.
Pattern & Association
Linguistic intelligence, logical-mathematical reasoning, musical pattern recognition, spatial reasoning, naturalistic categorization, encyclopedic recall and associative lookup.
Embodied & Sensorimotor
Bodily-kinesthetic intelligence (proprioception, physical skill, tool use), spatial-causal prediction of physical consequences, ecological intelligence. The knowledge that lives in the hands, the auditory and tactile feedback through a tool.
Social & Personal
Interpersonal intelligence (reading others, social navigation), intrapersonal intelligence, emotional regulation, cultural intelligence, pedagogical intelligence, moral and ethical reasoning under genuine stakes.
Metacognitive & Supervisory
Plausibility auditing (knowing an answer is wrong before recomputing), problem formulation (deciding what is worth solving), tool orchestration (knowing which tool to use, when, and whether to trust it), interpretive judgment (what does this result mean in this context), executive integration. Gardner never named these. This is the gap.
Causal & Counterfactual
Interventional reasoning (Pearl Rung 2 — if I do X, what happens?), counterfactual reasoning (Pearl Rung 3 — what would have happened?), causal model formulation (constructing the causal graph itself). Current AI is superhuman at Rung 1 (observation) and nearly absent at Rungs 2 and 3.
Collective & Distributed
Collective intelligence (groups solving what no individual could — science, markets, democracy), Ubuntu intelligence ("I am because we are"), collaborative synthesis (teams whose output exceeds summed individual ability). Not a property of any individual — emergent from systems of people in relationship. LLMs are a lossy compression of collective human intelligence: they reflect the record, not the practice that generated it.
Existential & Wisdom
Existential intelligence (grappling with meaning, mortality, cosmos), phronesis — Aristotelian practical wisdom (knowing when and how to apply what you know, and when not to; requires stakes and the possibility of loss), narrative identity (making a coherent self from lived experience over time).
Core series — six books
| # | Full title | Tagline | Tier(s) |
|---|---|---|---|
| Book 1 | AI Literacy, Fluency, and Trust | The entry point. How to operate the cognitive forklift without being replaced by it. | Tier 1 |
| Book 2 | Causal Reasoning | The identification layer. What causes what, and why no algorithm can answer that for you. | Tier 5 |
| Book 3 | AImagineering | Post-AI design thinking. One week on ideation. The rest on the judgment that makes it matter. | Tiers 3, 4, 7 partial |
| Book 4 | Ethical Play | Build a game that makes a player feel moral weight. Survive the AI audit. Prove the ethics are in the mechanics. | Tier 3 deeply |
| Book 5 | Conducting AI | The five supervisory capacities no algorithm possesses. Hear the wrong note. Choose the piece. Direct the sections. | Tier 4 fully |
| Book 6 | The Collective | Intelligence that cannot be possessed. Only accomplished. Together. | Tier 6 |
Companion books
| # | Title | Reader and focus | Tier addressed |
|---|---|---|---|
| Companion 1 | A Teacher's Guide to AI for Embodied Learning | 15 domain chapters: lab science, woodshop, PE, studio art, music, dance, nursing simulation, surgical training, architecture, culinary, theater, physical therapy, early childhood, special education, trades. Each self-contained. Each answering: where does AI help the teacher, and where must the teacher protect what only the body can learn. | Tier 2 — via the teacher, not the student |
| Companion 2 | The AI Sherpa: A Practitioner's Guide for Experiential Learning | Co-op coordinators, clinical placement directors, study abroad advisors, anyone who sends students into the world to learn. Experience maps, living journals, the Sherpa before/during/after. Phronesis cannot be taught in a classroom but it can be scaffolded in the field. | Tier 7 — via experience; the horizon the series points toward |
Tier coverage map
| Tier | Name | AI capability | Coverage |
|---|---|---|---|
| Tier 1 | Pattern & Association | Superhuman | Book 1: AI Literacy, Fluency, and Trust |
| Tier 2 | Embodied & Sensorimotor | Weak / emerging | Companion 1: Teacher's Guide — not a standalone course |
| Tier 3 | Social & Personal | Simulates, doesn't feel | Book 4: Ethical Play + Book 3: AImagineering |
| Tier 4 | Metacognitive & Supervisory | Poor | Book 5: Conducting AI + Book 3: AImagineering |
| Tier 5 | Causal & Counterfactual | Weak to absent | Book 2: Causal Reasoning |
| Tier 6 | Collective & Distributed | Absent by definition | Book 6: The Collective |
| Tier 7 | Existential & Wisdom | Absent — no stakes | Companion 2: AI Sherpa + AImagineering Commit stage |
Book inventory and status
| Book | Status | Notes |
|---|---|---|
| Book 1 — AI Literacy, Fluency, and Trust | Exists | Full syllabus complete. Tic TOC prompt written. |
| Book 2 — Causal Reasoning | Near complete | Syllabus complete and submitted. Book approximately 2 weeks to completion. Syllabus serves as the Tic TOC outline. |
| Book 3 — AImagineering | Architecture done | Architecture complete. Needs Tic TOC run (~2 hours). Prompt not yet run. |
| Book 4 — Ethical Play | Architecture done | Architecture complete. Tic TOC prompt written. Full syllabus produced. |
| Book 5 — Conducting AI | Prompt ready | Tic TOC prompt written. Not yet run. |
| Book 6 — The Collective | Partial | Research base complete. Tic TOC prompt not yet written. Most novel course in the series — no comparable course exists elsewhere. |
| Companion 1 — Teacher's Guide | Prompt ready | Tic TOC prompt written. Full syllabus produced. |
| Companion 2 — AI Sherpa | TOC complete | Full 18-chapter TOC compiled. 15 open questions in register. Two are blocking: Chapter 16 legal review (OQ-006) and Chapter 18 dual-use document policy (OQ-007). |
Tic TOC prompt status
| Book | Prompt status |
|---|---|
| Book 1 — AI Literacy, Fluency, and Trust | Written |
| Book 2 — Causal Reasoning | Written — syllabus is the outline |
| Book 3 — AImagineering | Not yet run — needs ~2 hours |
| Book 4 — Ethical Play | Written |
| Book 5 — Conducting AI | Written |
| Book 6 — The Collective | Not yet written — Urgent |
| Companion 1 — Teacher's Guide | Written |
| Companion 2 — AI Sherpa | Written — TOC compiled |
Production pipeline
A complete infrastructure exists for producing and validating technical content. The series is, deliberately, demonstrated by the method used to build it.
Deployed work
| Work | Status | Impact data |
|---|---|---|
| Cancer Biology and Therapeutics | Deployed | 38-chapter textbook written in approximately 1 month. In production in an NIH program. Positive cohort feedback. |
| The Boyle System | Piloted | Mentor meeting gap-review time: 60% → 20%. 150+ Humanitarians AI Fellows. |
| Humanitarians AI (501(c)(3)) | Active | 150+ Fellows. Applied AI research in humanitarian contexts. |
| Causal Reasoning (Book 2) | Submitted | Syllabus submitted for course approval. Course 1 in the series proposal. |
To do
Immediate — before March 31
Book production
AI Sherpa — blocking items
Institutional and structural
New session setup
Documents to paste into a new session
- This document
- The seven-tier taxonomy (full table version from "Knowing Enough to Distrust the Machine")
- Course 1 syllabus (Causal Reasoning — complete)
- AImagineering architecture document (context prompt for new Claude session)
- The Medhavy white-label architecture document
- The Boyle System technical documentation
Most likely immediate tasks
- Draft the short course-proposal email (attach Course 1 syllabus, two sentences on Course 2)
- Run AImagineering through Tic TOC
- Write the 2-page series vision document
- Write the Tic TOC prompt for The Collective (Book 6)