Why your software sucks, and what AI changes.
Longer pieces from our founder on AI, software and small business, many written alongside our podcast, Why Your Software Sucks. For practical help running a business, head to the blog.
Is AI a Bubble? Data Centre Maths and the Race Against Time
Is AI a bubble? The data centre maths: $1.2 trillion spent, $277 billion earned, hardware that wears out in six years, and what Uber's AI budget shows.
When the Guardrails Fail: Inside OpenAI’s Escalating Rogue AI Crisis
AI agents breaking out of test sandboxes, from national health databases to leaked photos. What it shows about the gap between AI ability and human control.
Per-Seat Pricing Is Taxing Your Growth: The Boardroom Hallucination
AI is sold as a boardroom strategist while small businesses bleed cash to per-seat software. Why per-user pricing taxes every hire, and how to escape it.
Is AI Automation Worth It? When Human Hands Are Cheaper Than GPUs
Is AI automation worth it? Why a $400 maths problem shows human labour often beats expensive GPU time, especially for businesses in emerging markets.
Why Enterprise AI Fails: The Case for Small, Single-Purpose Tools
Big AI suites look good in the boardroom but fail the people doing the work. Why small, single-purpose tools handle the daily jobs enterprise software ignores.
AI Makes Code Cheap: Why Taste and Domain Expertise Are the New Moat
When AI writes code for almost nothing, code stops being an advantage. Why domain expertise, taste and knowing your customer now decide which software wins.
The Death of the Enterprise Monolith: Why Micro-Apps Are the Future of Work
All-in-one enterprise platforms slow down the teams that use them. Why companies are swapping bloated software for small apps that each do one job well.
Why AI Trading Bots Fail: How to Code a Pine Script Volume Auditor
Trading bots that follow news sentiment lose money. How to use AI coding tools to write a Pine Script volume auditor that flags unusual trading volume.
Hallucinations, Bias, and the Deterministic Trap: Why AI Confidently Lies to You
Why do AI models make up facts and repeat old biases? Real cases from Air Canada to Amazon, and why the parts of a business that matter need tested code.
Agentic AI and Robotics: What Happens When Chatbots Get Hands and Feet?
What is agentic AI? How AI agents plan tasks and use software tools, where robots really work today, and four steps to get your business ready for agents.
Predictive AI vs. Generative AI: The Sorting Hat vs. The Autocomplete Parrot
What's the difference between predictive and generative AI? One calculates outcomes from your records, the other writes text. When to use each one.
How AI Was Actually Born: From Dumb Spreadsheets to Neural Networks
Discover how artificial intelligence evolved from rigid rule-based code to modern neural networks. An approachable, hype-free guide using everyday analogies.