The people behind the open work
Knowledge Sidekick is a small effort with a clear focus: research, standards, and adoption of knowledge-first practice for Agentic AI, LLMs, and personal assistants. This page is who is behind it, and what the work sets out to do.
What this is
Knowledge Sidekick is a practical knowledge layer for organizations building or using Agentic AI, LLMs, and personal assistants. The core idea is simple: most failures in these systems are not model failures — they are knowledge failures. The data is stale, the representation is weak, the extraction is incomplete, the updates lag, and the deprecation never happens.
This site is the not-for-profit side of that work: research, standards, adoption, internship, training description, free resources — all of it free to read.
Mission
The open work exists because the ideas behind knowledge-first Agentic AI are too important to sit behind a commercial gate. The research, the standards, and the adoption practice are developed here in the open. Everything here is free to read, and that does not change: not-for-profit, no fee, no ads. Free to read is not the same as openly licensed, and it is not a promise that every subject here is open — commercial and proprietary material belongs on this site too.
The site is intentionally small and flat. The core argument does not need a large site to make its case. The pages here are written as short, self-contained position pieces. Each one opens with the direct answer to why the topic matters, then goes into enough substance to be useful on its own.
The topics are meant to be read by a technical leader who is funding or building agentic work and wants a clearer vocabulary for the knowledge layer.
Get in touch
For the open side of the work — questions about the research, the standards, the adoption practice, the internship, or a training request — write to janardan@knowledgesidekick.com.
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