Building

A field guide for product managers to identify, address, and prevent the silent accumulation of shortcuts, skipped questions, and undocumented decisions that quietly kills execution.

A field guide to the last mile of product delivery, examining why the final ten percent of a product takes ninety percent of the time and how teams get stuck circling instead of shipping.

A practical end-to-end guide for building, deploying, and managing AI-generated web apps — from planning your first prompt to going live with GitHub, Vercel, payments, analytics, and monitoring.

You don't need to write code to build a successful startup, but you do need to understand how software gets built. Learn the engineering workflow, team structure, and technical fundamentals that help non-technical founders make better decisions and work effectively with developers.

Confusing tools with systems is one of the most expensive mistakes startup teams make.

A step-by-step method for identifying and eliminating operational friction before it kills your team.

How engineering, product, and design actually work together, and where most teams get it wrong.

A frank look at overreach, misunderstood markets, and the real reasons African startups struggle.

The paradox of MVPs that are too polished to teach you anything meaningful about the market.

What most founders get wrong about agile, and what iterative product development actually means.

Why startups that skip the rethink phase fail even when they have great execution.

The foundational mistakes that doom startups long before product-market fit is even possible.

The difference between urgency and chaos, and why confusing them kills product teams.

Why startups and product teams need governance structures early to scale sustainably.

Why great products are defined by experience and value, not just technology or code.

Architecture & Security for Vibe-Coded Products

What happens after the vibe coding stops: how to think about architecture, auth, data integrity, and security for products built with AI assistance.

A battle-tested folder structure for AI-assisted projects — organised for clarity, context efficiency, and the kind of codebase that stays navigable as your product grows.

The architectural decisions that separate vibe-coded projects that survive from ones that quietly fall apart — and why structure, data design, and security need to come before any feature work begins.

A step-by-step setup guide for solo builders using Claude Code — covering project structure, CLAUDE.md configuration, custom commands, and the workflow patterns that keep AI-assisted development fast and focused.

The structural thinking every AI-assisted builder needs — how to organise your codebase, manage state, and make decisions that don't collapse under pressure.

A behind-the-scenes look at three real AI-assisted builds this year — Product Slice HQ, Product Nerve AI, and AttriHub — including what broke, what it cost in time and patience, and what all three taught me.