Work
The shape of the work.
I write, teach, and advise on AI. Below is what the practice usually looks like — the kinds of engagements I take on, and what tends to come out of them.
Newsrooms
AI explainers & reporting
Working with editors on pieces that slow down and actually explain what a model does, what it doesn't, and what it changes. Reporting first, opinion later.
Founders
Advisory hours
Small, focused conversations with early-stage founders building with AI — positioning, what to ship next, and what not to promise on a landing page.
Universities
Workshops with students
Hands-on sessions with undergrad and postgrad groups — using AI for coursework, research, and writing without letting it think for them.
Companies
AI literacy for non-technical teams
Half-day sessions with marketing, HR, sales, and ops teams. Fewer tools, better questions. What to try on Monday, what to leave alone.
Stages
Talks, panels & interviews
Conferences, meetups, and long-form interviews on AI in India — what's actually happening on the ground versus what the timeline says.
Writing
Commissioned essays & reports
Longer pieces written on assignment — for publications, industry reports, and internal thinking documents. Cited, edited, and dated.
Recent work
Updated from the CMS
A note on how I work
I take on a small number of engagements at a time — enough to do them properly. If you're writing to me about work, tell me what the actual problem is; the packaging can wait.