How software actually gets built (without the jargon)
A clear mental model of how digital products actually work. No jargon, no assumed knowledge.
Building technology products
You don't need to write code to make smart technology decisions. Demystify architecture, understand what your developers are really building, and choose the right technical foundations, without being tripped up by jargon, vendor promises, or costly early mistakes.
No-code vs custom build (what’s right for you)
Two real paths, with very different trade-offs. See which one fits your stage, ambition, and skills.
Choosing a tech stack without regret
Stack decisions feel huge. See what actually matters — and why boring choices often beat exciting ones.
Understanding complexity before it bites you
Complexity hides at the start of every project. Learn where it really comes from — and how to push back early.
The core building blocks (auth, data, architecture)
Three foundations every digital product needs. See what each one is for — and how to get them roughly right.
What actually drives cost in software projects
Cost isn’t mostly hours. See what really decides whether software stays affordable — or quietly spirals.
How to work effectively with developers
Most of this isn’t technical. Learn the small shifts that make working with developers dramatically better.
Estimating time and cost realistically
Estimates are almost always wrong. Learn to make them honestly — and useful — anyway.
What technical debt really means
A useful metaphor, often misunderstood. See what good and bad debt look like — and when to pay it down.
AI stack basics (models, tools, and workflows)
A clear picture of how modern AI products actually work, without becoming an AI engineer.
Prompting vs RAG vs fine-tuning (when to use what)
Three ways to shape AI behaviour. See when each fits — and which one founders most often reach for prematurely.
How to measure AI quality and performance
AI quality isn’t like normal software quality. Learn how to measure what really matters — and catch drift early.
Security and privacy for modern products
Two areas easy to underinvest in until something goes wrong. See the basics that protect you from most real problems.
What actually needs to scale (and what doesn’t)
Most scaling worries happen prematurely. See what really needs to scale early — and what can wait.
Managing technical risk (including AI risks)
Every product has risks. See how to name yours honestly and act on the ones that genuinely matter.
