About Us
Built For People Who Take AI Seriously
Inside AI is an independent publication covering artificial intelligence news, AI research, AI tools, and interesting developments in the field of AI around the globe. Inside AI is for professionals, founders, software engineers, AI enthusiasts, and knowledge lovers who don’t have time for noise.
Artificial intelligence is moving faster than any single person can track. New models drop every week. Research papers pile up. Every startup claims to be "AI-powered." The signal-to-noise ratio is brutal.
Inside AI exists to fix that. We track what’s actually happening across research labs, enterprise adoption, policy, and the tools people are building with and distil it into coverage that’s worth reading.
We believe informed readers make better decisions. That's the whole point.
Accuracy first
We verify before we publish. If we get something wrong, we correct it clearly and quickly.
Editorial independence
We answer to our readers, not to advertisers or investors. Our coverage follows the story.
Speed without shortcuts
Breaking news matters. But speed never justifies publishing half-baked or unverified information.
Written for real people
We don't write for algorithms. We write for developers, researchers, operators, and decision-makers.
With a background in technology, publishing, blogging, and digital marketing, he built the publication from the ground up — the editorial vision, the technical infrastructure, and the publishing pipeline that now puts fresh stories in front of readers every single day.
He oversees editorial direction, sets the standards for how stories are sourced and verified, and remains closely involved in every part of how Inside AI operates. His rule is simple: if it wouldn't help a smart, busy professional make a better decision, it doesn't belong on the site.
The contributors
Sophia Andreou
Sophia covers general AI, machine learning, foundation model research, and the policy landscape around AI governance. A former computational linguistics researcher, she brings rare technical depth to the stories that shape the field.
Shamil Khan
Shamil lives at the intersection of Agentic AI and Generative AI. He reviews agent frameworks, and enterprise AI deployments with a practical eye. He always ask what actually works and what’s just a good demo.
Mahesh Lakhani
Mahesh focuses on Vibe Coding, AI tools, and the research coming out of major AI labs. He reads the papers so you don’t have to, and explains what they mean for people building real systems.
Tobias Nkosi
Tobias covers prompt enginering and robotics. He writes for readers who want to understand the implications, not just the capabilities.
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