A collection of essays, notes, and half-baked explorations I'm always tending to.
The most valuable thing you produce with AI is not the output. It is the conversation that delivers that output, what you asked, how you asked.
Everyone's hyping AI in Africa. Nobody's asking where the GPUs are. While we host ethics panels and policy webinars, your skill is already competing with a button someone can cl...
From Columbus to AI - how leverage has evolved through geography, infrastructure, code, attention, and now intelligence. The question isn't whether a new era is forming, but whe...
In AI native workplaces, the tension is no longer who writes better code. It's who extracts better intelligence. When AI writes the code, what's left to compete over?
After studying past technological revolutions, here is what most people still get wrong about AI and what it means for their careers.
Andrew Miracle chronicles migrating his site from WordPress to Jekyll, and why AI-native workflows fit a digital home for modern publishing.
Onboarding AI agents follows the same arc as onboarding a new hire. You've already assessed the skill, now it's about access, fit, and expanding trust over time.
Andrew Miracle explores the design engineer role, why it feels familiar, and where the hybrid skillset thrives in practice.
Andrew Miracle examines how teams blame AI tools, and why accountability and process matter more than scapegoats in delivery.
Andrew Miracle proposes time-boxing failure to learn faster, reframing setbacks as part of the process and growth for builders.
Andrew Miracle reflects on missing goals despite hitting targets, and how to rethink planning, vision, and metrics for teams.
What if your business could run without you? Not passively, not automatically — perpetually. Exploring the economics of AI-sustained systems.
Open models are planting forests. Closed models are selling lumber. If you have seen this pattern before, it is because you have.
I kept choosing partners who thought like me. It felt like flow. It was a trap. Why the best partnerships need friction, not harmony.
Andrew Miracle explains llm.txt as AI-friendly documentation, aimed at DevRel and platform teams optimizing APIs and onboarding.
Andrew Miracle explains why AI struggles with context replay and why humans keep re-learning to adapt and improve over time.
Andrew Miracle guides non-technical founders toward pitch readiness, clarifying product, users, and the build path to follow.
Andrew Miracle argues AI elevates ex-founders as ultra-generalists, blending product, marketing, and ops into one toolkit.
Andrew Miracle explains how to design an agentic workflow, connecting no-code tools, automation, and AI collaboration at work.
Andrew Miracle traces the history of human computers and how the term shifted to machines, with cultural and labor context.
Andrew Miracle examines Nigerian music artists as entrepreneurs, using Davido as a lens for industry shifts and business models.
My biggest money mistakes came from letting people who earn less than me call the shots. Then a Lebanese friend taught me how luxury cars are actually liquid assets.
Andrew Miracle defines Time to Critical Request or Resolution and shows how it reveals product delivery bottlenecks and drift.
Andrew Miracle breaks down brand messaging for consumer brands, from positioning to clarity across channels and customer touchpoints.
Andrew Miracle reflects on passive income for the self-employed, blending mindset, risk, and realistic tradeoffs over time.
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