Teach your teams to build products, not just write code.
A one-day, hands-on camp. No slides, no lectures. Participants work on a real problem, decide what needs building, and ship something that works by the time they leave.
- Duration
- 6–8 hours
- Batch size
- 20–200+
- Format
- On-site or virtual
- Output
- A working product
One day, one real problem, something shipped.
Participants use AI tools to build faster, but the focus is on thinking clearly, making decisions and owning the outcome rather than following instructions. Everyone leaves having finished something.
Problem definition
Working out what actually needs building before writing anything, and writing it down so someone else could build it.
Building with AI
Using AI as a tool rather than a crutch: where it speeds you up, and where trusting it costs you an afternoon.
How the day is structured.
Problem definition and planning
Understand the problem. Decide what needs to be built. Write requirements clear enough to build from.
Build sprint
Hands-on building with AI tools. Iterate quickly, ask for help when stuck.
Ship and present
Finish it, present what you built, and talk through what you learned doing it.
We adapt the agenda to your batch size, skill level and the time you can give it.
Shaped to the room it runs in.
Engineering teams who ship features but rarely get to decide what those features should be. Run against a problem from your own backlog.
Students who can code but have never taken something all the way to a user. One day is enough to change what they think the job is.
Mixed cohorts across disciplines, where the interesting work is deciding what is worth building at all.
Why this is not a workshop.
Thinking, not just doing
Anyone can follow a tutorial. The hard part is deciding what to build, and that is what the day is spent on.
Hands-on start to finish
No slides. People are building within the first hour and still building at the end.
AI as a tool, not a crutch
Used where it earns its keep, and questioned where it does not. Knowing the difference is the skill.
Run by people who still build.
Som Sankar Naskar
CTO, GreatKapital · 11+ years building products at scale
Has hired and mentored hundreds of engineers, and watched the industry move from writing code by hand to directing it.
Apurva Kale
Product Manager, GreatKapital · IIT Madras
Works on product thinking and user research, and closes the gap between deciding and shipping.
We have run this in the room before.
Camps delivered on campuses and inside companies. The photographs are from those sessions, not a stock library.
Tell us about your team.
Batch size, what they build day to day, and what you want them to leave with. We reply within a working day.