Feb 6 · 2 min read · Product teams everywhere face a familiar frustration: weeks spent validating ideas, only to realize — too late — that early assumptions were flawed. In fast-moving markets, slow validation doesn’t just waste time; it drains momentum, resources, and c...
Join discussionFeb 5 · 3 min read · For years, product teams have relied on intuition, scattered customer interviews, and slow validation cycles to decide what to build next. The result? Wasted sprints, bloated roadmaps, and features no one really asked for. In today’s fast-moving mark...
Join discussionJan 8 · 3 min read · 📜 Why Production Is Where AI Succeeds or Fails Most AI projects do not fail at modelling — they fail at production. Common outcomes include: Great demos that never shipModels that degrade silently over timeSystems that break under real-world loadAI ...
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Jan 2 · 3 min read · 📜 Why AI Fails in the Real World AI has delivered remarkable breakthroughs — yet most AI projects fail before reaching meaningful production impact. Common outcomes include: Proofs of concept that never scaleModels that perform well in labs but fail...
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Nov 5, 2025 · 3 min read · Today I built an Agentic AI Mini Project — a Support Query Classifier that automatically tags customer or IT support queries into categories like Billing, Login Issues, Technical Problems, etc. It combines deterministic Python rule logic (fast + free...
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Oct 21, 2025 · 4 min read · Artificial Intelligence (AI) is transforming industries, from healthcare diagnostics to financial forecasting and analysis. This article explores the journey of developing a generic AI solution to solve real-world problems, aligning with the latest A...
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