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Latest · AI Commentary · Oct 20

The App Is Becoming a Prompt

When the interface is generated at runtime, knowing who clicked “Approve” may no longer be enough. Imagine a release-management system that pulls together open defects, failed tests, risk signals and deployment history,…

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20AI CommentaryReflections on the wider AI landscape — hype, work, careers, culture, and the human consequences behind technical change.14AI SystemsNotes on production AI systems — RAG, agents, retrieval, reliability, model behavior, and the engineering decisions that matter after the demo ends.9AI Tools & ModelsHands-on analysis of AI tools & models — what they do well, where they break down, and who they are actually useful for.4AI ProjectsHands-on AI builds, experiments, and practical prototypes exploring how AI systems move from idea to real-world implementation — with a focus on readiness, governance, architecture, RAG, agents, and production judgment.1AI ConceptsComplex AI concepts explained for people who need to understand and use them — without needing a PhD in machine learning. Here’s what I wish someone had explained to me the first time I met each of these.

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Akshat Uniyal

Hi, I’m Akshat.

I write about AI, systems, and engineering judgment — focused on how these technologies actually behave in real-world environments. Nearly two decades building enterprise systems; I care about the gap between impressive demos and production reality.

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