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Insights

This is where I write about what I’m exploring, from architecture patterns and workflow design to the common mistakes I see early-stage teams make. These posts are written for founders, engineers, and anyone building something real. No buzzwords. No fluff. Just practical insight from the trenches.

Ethics by Design in Healthcare AI: How to Build Systems That Heal, Not Harm

Search intent: To understand how ethical principles can be embedded into the design and implementation of AI systems in healthcare,

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How to Convert Free Users to Paying Customers: A Product-Led Guide

In product-led growth (PLG), acquisition is only the beginning. The real challenge, and opportunity, lies in turning free users into

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Beyond Principles to Practice Making Ethical AI Governance Work

Beyond Principles to Practice: Making Ethical AI Governance Work

Many organizations today publish AI ethics statements, fairness, transparency, accountability. But few translate these values into real systems. The result

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From Builder to Growth Engineer: Quietly Scaling to 10,000 Users

Maya built a polished MVP, real-time, collaborative, technically sound. But adoption lagged. She wasn’t alone. Many of us, technical founders,

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The 3-Year AI Roadmap: Why Quick Wins Struggle Without Foundations

In many conversations I’ve had, the challenge isn’t a lack of AI ideas, it’s balancing momentum with patience. AI has

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Product-Led Growth in 2025: Notes from the Field

A few years ago, PLG mostly meant freemium signups and hoping users stuck around. In 2025, it’s more structured, thoughtful

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