Two days. In person. ₹29,999 + GST.
Why it matters.
AI can build a working system in two days. Most people use it to write emails faster. The gap isn't the tool.
Everyone has the same models now. What separates people is whether they can direct AI across work that has consequences — and catch it when it's wrong.
Deloitte Australia delivered a A$440,000 government report with invented academic citations and a court judgment that was never said. Nobody set out to fabricate anything. It read well, so nobody checked.
That's the second failure mode. The first is using AI for so little that the question never comes up. Both waste the same thing.
AI fails quietly. Software crashes and tells you. This hands you a well-written paragraph and waits.
What you'll build.
Not exercises. A real launch, standing by Monday.
A colleague quits without notice. The launch is announced, dated, public. Registrations open Monday. You inherit his drive and two days.
Over those two days you build the whole thing: landing page, registration form, payment link, attendee database, confirmation emails, comms sequence, pricing calculator, margin model, vendor and logistics sheet. Every asset either works for the launch or doesn't.
Then it turns. You audit another team's finished launch — twelve assets, four defective, nobody to ask. A wrong reject costs you. Shipping a defect costs four times more.
What you'll be able to do.
Direct AI across a multi-part build without losing the thread.
Break work into pieces small enough to verify before you hand them over.
Tell what's proven from what's merely fluent.
Know which decisions AI executes, which it drafts, and which stay yours.
What you leave with.
A grounded launch plan with every claim sourced. A task table routed by capability and human gate. Three executable requests another person could run. One reusable pattern. And the built assets themselves.
Not proof you attended. Proof you can work this way when the stakes are real.
Most people use AI to write faster. A few use it to build things they couldn't have built at all — not because they prompt better, but because they know what to check and what to keep human. That gap is the whole workshop.