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Notes on building AI products.

Product thinking, scoping frameworks, and real case studies — no filler, no fabricated stats.

·6 min read·Product Strategy

How to Turn a Product Idea Into a Working Prototype (Without Hiring a Team)

A practical breakdown of what it actually takes to go from an idea in your head to working software — without hiring a product manager, designers, and a dev team first.

·5 min read·Product Strategy, AI

What "AI-Native Product Development" Actually Means

The phrase gets used loosely. Here's a concrete definition — and the difference between using AI to write code faster and building products in an AI-native way.

·7 min read·Case Study, Healthcare

Building InZob: Turning WhatsApp Into an AI Engagement Layer for Healthcare and Local Business

A case study in how InZob went from a slow, manual follow-up problem to a working AI engagement and appointment platform — and the product decisions that mattered along the way.

·5 min read·Product Strategy, AI

Why Most AI MVPs Fail Before They Start (And How to Scope One That Works)

The failure mode for AI product ideas is rarely the model. It's usually the scope. Here's how to tell the difference before you spend a dollar building.

·6 min read·Case Study, Fintech

Building FundReap: AI-Powered Collections for Businesses Running on Tally

How FundReap turns a business's real Tally accounting data into a daily, prioritized collection plan — and why reading real data instead of asking for manual entry was the key decision.

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