​Take your idea from concept to launch in a series of interactive sessions. Leverage AI tools to build a live product, put it in front of users, and leave with honest feedback, concrete next steps, and the tools to keep going - no coding background required.

​Who it is for

• ​Current NYU students, Alumni, and Faculty

• ​People who code and people who don't.

• ​Anyone who wants to test an idea quickly and cheaply before committing time and money to it.

​Key highlights

• ​Hands-on from start to finish. Every session ends with something real in hand, not just notes.

• ​Real customers, not guesses. Founders talk to 5 to 10 potential users and put a working product in front of them.

• ​Two tracks. No-code founders build with tools like Lovable, Replit, v0 and Bolt. Founders who code use Claude Code or Cursor.

• ​Honest checks built in. Founders open and verify every source, set their success target before the results come in, and have a second tool test every build.

• ​A live product with a real ask. Each product goes live with a waitlist, pre-order or booking option.

• ​Demo day. The series ends with founders presenting to guest founders and investors.

• ​Tools they keep. Every founder leaves with the full Leverage kit and their own working setup.

​What founders walk away with

• ​A tested idea. Assumptions checked against real conversations and real data.

• ​A live product MVP. Reviewed, tested, and in front of first users, or a clear and cheap "no."

• ​A decision and a plan. Continue, change, or stop, backed by evidence, with the next 14-day test written out.

• ​Their own working toolkit. Research, idea testing, building and review tools, set up and ready to use.

• ​The Leverage kit. Every prompt and tool used in the series.

• ​Good habits. Check the sources. Set the target first. Never let the builder grade its own work.

• ​A cohort. A group of founders who built alongside them.

​Session 1: Discover

​Validate the problem before writing a single line of code. Turn your idea into clear hypotheses around target users, existing workarounds, and willingness to pay. Use AI to mine real customer complaints across online forums, fact-check the findings, stress-test your concept against multiple AI models, and draft your customer interview plan.

​PARTICIPANTS LEAVE WITH

• ​Written assumptions about the customer, problem, and willingness to pay

• ​A problem report with sources they checked themselves

• ​The three riskiest assumptions

• ​An interview script

• ​A list of 20 people to talk to, with 5 messages already sent

​BETWEEN SESSIONS

​Founders interview 5 to 10 potential users and sort what they hear into evidence for or against each assumption.