← chiragpatnaik.com

AI to tell better stories.

A one-day, on-site workshop for research and policy teams. Not a productivity course — a method for raising what your team can take on. From “one good brief a week” to three. From “we couldn’t run that comparative” to “we’ll have it next month.”

§1 · What this is

A working session, not a tutorial.

One day, eight to fifteen people, on-site. The shift the workshop produces is from “AI helps me draft” to “AI produces the whole deliverable, I edit.” Each participant leaves having made that shift on a piece of their actual work, with the method internalised through practice rather than presentation.

§2 · What teams walk away with

Five concrete outcomes.

By the end of the day, every participant has:

  1. Internalised a repeatable method for producing high-quality research deliverables in a fraction of the time they take today.
  2. Produced one finished deliverable from their actual work, with feedback.
  3. Built a personal library of prompt scaffolds tuned to their research workflow.
  4. Understood the boundary conditions — what AI tools should never be trusted with in policy work, and how to maintain methodological rigour.
  5. A clear sense of what the team can take on now that wasn’t tractable before.
§3 · Format and logistics

The shape of the day.

Duration
One day, on-site.
Group size
8–15 researchers.
Location
Your institution. Within India for v1; international subject to scheduling.
Prerequisites
None technical. Each participant needs a laptop and an account on ChatGPT or Claude (paid tier preferred).
Pre-workshop
One 60-minute call with the head of research or equivalent, two weeks ahead, to align on what each team brings.
Follow-up
One virtual session 4–6 weeks after the workshop, included.
§4 · Who this is for

Where this is the right fit.

The workshop is the right fit for institutions where:

  • The team’s primary work product is written analysis — briefs, position papers, policy notes, comparative studies.
  • Methodological rigour and source defensibility matter as much as speed.
  • There’s institutional appetite to actually use the capability, not just to know about it.
  • Eight to fifteen researchers will be in the room. Leadership participating in at least the wrap session is strongly preferred.
§5 · Why this offering

The credibility behind it.

I’ve spent two decades across media, technology, and government — Times of India, India Today, Indiamart, Samsung, and a stint running operations and technology for the Indian National Congress. Currently an Entrepreneur in Residence, building startups in polling and AdTech. Day-to-day work has me using these tools in policy-flavoured contexts — SansadSaar, the NakliTechie portfolio, work for institutional clients I can speak about in conversation.

The workshop is the method I use every day, taught to your team.

§6 · Sample agenda

What a day looks like.

10:00–12:30 Pattern recognition and the method.

Where the field is, with concrete examples of policy teams that have crossed. The three moves: describe the deliverable, hand over the inputs, tell it what good looks like. The boundary conditions — what AI should never be trusted with in policy work. We close the session with a live build the group watches end-to-end: one deliverable produced in front of the room, with all the messy parts.

12:30–13:30 Lunch.
13:30–15:30 Working session: your own deliverable.

Each participant works on a real piece of their own work, applying the method. I circulate, looking at screens, debugging prompts, helping people get unstuck. We pause once in the middle for two or three people to share their v1 with the room — a brief group critique that makes the method’s failure modes visible to everyone.

15:30–16:00 Tea.
16:00–17:00 Take it home.

Extracting a personal scaffold from the work you just did, so the method survives outside the workshop. A short discussion on what changes at the team level, with institutional leadership invited in for this final hour. Confirmation of next steps, including the included follow-up session 4–6 weeks out.

§7 · How to engage

Start a conversation.

Tell me a little about your team and what you're hoping to do. I’ll respond within a working day with a proposed agenda tailored to your group and a conversation about dates.

Or, if you’re ready to talk now, book a 30-minute intro call →

Or email me directly at chirag.patnaik@gmail.com.

© Chirag Patnaik