AI Product Development
Teams define a product, deploy it, ground an agent in a database they build, chain live APIs into a working service, cost it, break it deliberately, and pitch it. Learners hold named company roles throughout.
Main project App
Business Model Canvas
3.1Defining a product with the Lean Canvas and taking it online. Students map an idea across the nine boxes from a real customer problem, write a value proposition, and use an AI coding tool to build and publish a landing page.
Deliverable
Business Model Canvas
Turn a product idea into a completed canvas and a live landing page, in one evening. A completed nine-box business model canvas, plus a landing page published to a public web address.
Page Audit / API
3.2Auditing a live page for unsupported claims and grounding an agent in your own content. Students score a page against five measures, remove unsupported “slop”, and build a password-protected agent that answers only from supplied material.
Deliverable
The API
Check a live website against five measures. Then build a working agent (chatbot) page that only talks about your own content, fixed using real error messages, and hand it in by 10pm. A live agent (chatbot) page: a working web address, protected by a password, that can hear spoken questions and reply out loud, and only answers about your own content. The secret key is kept in the host's environment variables (its settings area). Plus one written website check.
App Development
3.3Designing an agent persona grounded in a structured database. Students model tables and scoped access keys, write a persona as a job description, and build an AI agent that answers only from a supplied catalogue.
Deliverable
App Development
Build an AI agent that uses a structured database, so it only answers using facts from a supplied catalogue. A designed database (four tables with example rows of data and a stated type for each column), an access key that only allows certain actions, rows of data written by Codex and checked one by one, and an AI agent that pulls in this data. A completed persona plan on paper.
Hackathon
3.4Shipping a working, multi-page product against a deadline in role-based teams. Students research a comparable company, diagram how code, database, AI and APIs connect, and deliver a landing page, a live-data gallery and a grounded agent.
Deliverable
The Hackathon
Turn an idea into a working website with a database and an AI agent, and get it online before the deadline. A three-page website (a landing page, a gallery backed by a database, and a password-protected AI agent), plus a portfolio of supporting work: the Lean Canvas (a one-page business plan), the published site, the AI agent, the database, a diagram of how it is all built, the cost workings, and the list of problems found and fixed (the defect log).
The Final Sprint
3.5Testing a product adversarially, remediating and pitching it. Students hunt defects, red-team their own agent, keep a public defect log, and deliver a costed live pitch to a room that did not build the product.
🏆 Capstone deliverable
The Final Sprint
Find defects in your own product and agent before users do, then pitch the product and show it working live. A public defect log, plus a five-minute pitch on four pillars, with the product shown working live and a Codex-generated deck, infographic and promo pack, all cut to the four pillars.
CAPSTONE