Papers & Short Reads

One argument,
two lengths.

Two series. The first is about what AI does to the capability of an organisation over time, and what to build instead: three papers, each of which also exists as four short articles, so you can take the argument at whatever length you have time for. The second is about the person doing the work.

If you have three minutes

Start at the beginning

Twelve short articles, numbered in order. Each ends with something to try this week.

Start with 01 · The Tool Never Tells You No →

If you have half an hour

Take the whole argument

Three whitepapers, fully referenced, readable here or downloadable as a PDF.

Begin with Part One →

Prefer to browse everything at once? The library lists every paper, short read and post in one filterable page.

The AI Capability Series

Three whitepapers and twelve short articles. The twelve short pieces run in sequence, but each stands alone.

Part One of Three

Whitepaper  ·  Trinzo

The Flywheel and the Frenzy

Navigating the AI Turning Point

AI amplifies what an organisation already has. It does not manufacture what it lacks.

Read the paper → Download PDF ↓ January 2026  ·  7,931 words  ·  32 min

The same argument in four short reads

Part Two of Three

Whitepaper  ·  Trinzo

Cognitive Rusting

What Organisations Lose When They Automate Their People

The workflow most firms call responsible deployment quietly removes the practice that built the judgment.

Read the paper → Download PDF ↓ April 2026  ·  8,376 words  ·  34 min

The same argument in four short reads

Part Three of Three

Whitepaper  ·  Trinzo

The Scaffolding of Intellect

Method Over Magic: How Organisations Tame a Non-Robust Technology

When the models commoditise, method is the last available differentiator.

Read the paper → Download PDF ↓ July 2026  ·  9,284 words  ·  37 min

The same argument in four short reads

The Professional Practice Series

Most writing about AI in organisations is about organisations. This series is about the professional who uses these tools directly, owns the result, and answers for it.

Part One of Three

Whitepaper  ·  Trinzo

Owning the Work

Professional Practice with AI

Most AI-assisted professional work should remain professional work. Keep the assurance close to the person doing it, and add heavier machinery only when the work demands it.

Read the paper → August 2026  ·  8,925 words  ·  36 min

The same argument in five short reads

Parts Two and Three

Whitepaper  ·  Trinzo

Forthcoming

Two further papers on the practical application of AI in professional work.

← All writing