Library

A first-hand account of outgrowing a prompt-to-app tool while building Product Slice HQ, and what makes AI-assisted development inside a real codebase a fundamentally different and more stable choice.

Six months of building across multiple AI coding platforms, ranked honestly: why Claude Code plus Stitch sits at the top, what makes the Google AI suite a strong second, and why the right stack depends on how you actually work.

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.

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 five-part framework for shipping something real with AI tools: keep the first version to one customer, one problem, and one killer feature — and why tight scope matters even more with prompt-to-app platforms.

A practical roadmap for breaking into product management — covering skills, AI fluency, portfolio building, your first role, networking, and a full 12-month plan.

Why copying popular apps is a reliable path to giving up the moment something breaks, and what to build instead — the thing that has frustrated you personally long enough that fixing it actually feels worth the effort.

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.

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.

A structured canvas for product builders that combines the OCP framework with the SPARK methodology — map your opportunity, define your bets, and move from idea to traction without losing the thread.

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 practical, startup-ready template for writing user stories with detailed considerations that align product, design, and engineering.

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.

A seven-step guide for landing your first real role in tech: the self-audit, your resume, your LinkedIn profile, your first portfolio, your digital footprint, your job role strategy, and how to keep improving after you apply.

How to build, ship, and scale software in the age of AI — covering product engineering, AI development workflow, deployment, infrastructure, open source, and a 5-year growth roadmap.

Why adding features is rarely the answer, and what it actually means for your product strategy.

A practical framework for structuring Product Requirement Documents across three critical layers: clarity, growth, and technical execution.

A section-by-section guide to building your first portfolio, with three project types to build toward, a filled-in example, a blank template, and the AI prompts to draft it yourself.

A systems manual for engineered visibility on LinkedIn: how the platform actually distributes attention, and how to build durable authority that compounds instead of chasing viral posts.

A section-by-section guide to writing a resume that shows impact, not duties — with a filled-in example, a blank template, and the AI prompts to draft your professional summary, experience bullets, and skills audit yourself.

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.

Why your product roadmap is probably a lie, and why that's actually okay if you know it.

Why mistaking your roadmap for strategy leaves your product without real direction.

A structured, trust-centered framework for early-stage go-to-market execution, built around four pillars connecting visibility, belief, usage, and revenue for startups with no brand presence yet.

Stop chasing growth tactics when your real problem is that users don't yet feel the value.

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

A structured template that helps founders and product teams validate markets before building. Covers customer segments, problem validation, market size, competitor analysis and more.

Why the biggest product failures are rooted in broken thinking, not broken execution.

A practical breakdown of the AI coding tools, models, and workflows worth using in 2025 — ranked by real-world usefulness, not hype.

Why organizational purpose must be lived through decisions, not written on walls.

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 field guide to sustainable systems for product managers in high-intensity environments, covering early warning signs, boundaries, team-level leverage, and a personal operating system built around your energy.

Building internal clarity and alignment on your product story before you go to market externally.

The discipline and execution gaps that cause even well-built products to collapse in the market.

A first-principles guide to go-to-market strategy for founders and product leaders building in emerging and complex markets, especially across Africa, covering the structural foundations that turn traction into a durable business.

A practitioner's guide to moving from a single paying customer to a product with real structure — validation loops, scope decisions, and the moments that decide whether you ship or spiral.

A strategic reframe of social media management as a discipline rooted in psychology and community dynamics, not content scheduling, for brands that want real growth in a noisy, AI-driven world.

Marketing is no longer about posting content. Covers positioning, GTM models, growth metrics, the AI marketing stack, and how to build a real marketing career that compounds.

The future belongs to people who can coordinate people, AI agents, systems, and execution. Covers delivery frameworks, the expanded operations skill set, automation design, and the path to AI Operations Manager and Chief of Staff.

A three-phase, 90-day system for rebuilding authority, demand, and revenue from zero using AI as an intelligence and execution layer, covering positioning, content, distribution, and conversion.

Why product management is fundamentally about experience and business outcomes, not task completion.

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

For designers who want to be indispensable, not just employable. Covers the full-stack designer model, AI tools, systems thinking, working like a founder, and building a portfolio that shows thinking rather than decoration.

Why the future of product-led growth belongs to African builders who understand local contexts.

How unnecessary meetings quietly drain startup velocity and what to do about it.

A tactical system for social media growth: the audit path for existing brands, the setup path for new ones, and the shared strategy, production, calendar, community, analytics, and optimization system both feed into.

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

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.

Stop prioritising user feedback that will never translate into revenue or retention.

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

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

The real work of transitioning from PM to founder, and what one year in actually feels like.

How to align your revenue model with the value you actually deliver to users.

Key challenges, emerging trends, and what product managers need to focus on heading into 2025.

Why AI must be treated as a core advantage layer, not a bolt-on feature in modern products.

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

Why growth spikes from hacks feel like progress but are often disguising fundamental product weakness.

Why marketing failures are almost always symptoms of broken underlying systems, not bad campaigns.

How to define a product north star metric that genuinely aligns vision with business outcomes.

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

Going back to teaching agile fundamentals and the surprising things it reminded me about product work.

Understanding the difference between being at the table and having a seat that actually matters.

Lessons from 2025 on why sustainable progress matters more than short-term velocity.

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

Why speed of learning and iteration is the most overlooked competitive advantage in product.

A framework for ensuring your product roadmap drives real business outcomes, not just features.

Why chasing CTO, CPO, and other titles before building real structure leads to empty roles.

The underappreciated advantages that exist inside every early-stage team if you know where to look.

How to balance product ownership and system ownership in modern agile product teams.

The five pivotal mindset changes that transformed my journey from product manager to product leader.

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

African street hawkers understand positioning, urgency, and distribution better than most GTM teams.

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

Why building soulless products under the startup label is the fastest path to irrelevance.

How to implement first principles thinking to solve hard product problems from the ground up.

A practical framework for evaluating product and business systems using a structured checklist approach.

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

Mastering Your AI Coding Stack

A deep dive into the tools, workflows, and mental models that make AI-assisted coding actually work — ranked and battle-tested over six months of real builds.

AI-Assisted Product Development: From Idea to Launch

A practical, end-to-end playbook for shipping real products using AI as your co-builder — from validating the idea to cutting the first release.

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 first-hand account of the exact failure pattern AI-assisted building creates when speed outruns architecture — and what it actually looks like when a fix in one place starts breaking two unrelated things.

Why a full week of living inside staging before anything ships changed how I decide whether a feature is actually ready, not just whether it compiles.

The real reason behind switching AI build tools so often — a hybrid, redundant stack across three providers plus a local fallback, and the lesson that made it non-negotiable.