Signal over
noise.

Experiments, opinions and implementation lessons from using AI where results actually matter.

01 / Research systems

How to write an AI decision brief that people can act on

A practical structure for moving from a broad question and scattered sources to one recommendation with visible confidence.

6 min read ↗
02 / Research systems

An AI research workflow for synthesising sources without losing the evidence

Use AI to speed up research synthesis while keeping the original sources, claims and gaps visible.

7 min read ↗
03 / Tool judgment

How to evaluate AI tools before they become another unused subscription

A decision framework for testing AI tools against the work, constraints and outcomes that actually matter.

6 min read ↗
04 / Operations

A tool stack is not a strategy

Buying more AI software rarely fixes an unclear process, missing ownership or weak customer understanding.

4 min read ↗
05 / Strategy

AI does not remove the need for positioning

When everyone can generate competent output, clarity about what you stand for becomes more valuable.

4 min read ↗
06 / Judgment

The hidden cost of AI convenience

The fastest answer can still be expensive if nobody checks its assumptions, sources or consequences.

5 min read ↗
07 / Field note

The operating loop beats the perfect prompt

Why durable inputs and feedback cycles matter more than collecting prompt templates.

4 min read ↗

Useful AI.
No noise.

One concise weekly note with practical workflows, tools and ideas worth testing.