OnDevice.ai is a private, local-first AI workspace — chat, projects, files and deterministic PPTX/XLSX/DOCX generation, running on your own hardware. The architecture, the design bet behind it, and an honest comparison with Claude and ChatGPT.
Why I built 'Forward Deployed Engineer: AI for the Infrastructure Estate' — course seven on AICademy. FDE method, infrastructure substance: embed with a client, assess the estate, then deliver and govern an AI change behind a human gate, across one accumulating 10-week engagement.
AICademy: six hands-on AI courses and 82 modules built for infrastructure support engineers at GSIs like TCS, HCL and Infosys. The philosophy, the stack, the courses, and why it's different from every AI course online today.
For thirty years, infrastructure outsourcing has competed on scale. AI is about to move the contest to who owns the best organisational knowledge. This is my case for Knowledge Agents — specialist AI experts sitting on a structured knowledge layer built from thousands of engagements. It separates industry consensus from my own hypothesis, answers the 'doesn't Copilot already do this?' question, puts numbers on the business case, gives a phased roadmap, and makes the case for the buyer as well as the provider. Companion to my two pieces on the MCP agent fabric.
A structured hub on how large language models use, store, and optimize memory — from the bytes that hold model weights on a GPU to how an agent remembers across sessions. Pick a topic to dive in.
What ChatGPT and Claude actually are under the hood — a plain-English explainer of next-token prediction, softmax, attention, and why hallucinations are inevitable. Beginner to intermediate, with interactive animations.
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