Three minutes, four beats, one real artifact. You’ll leave saying: “I shipped a real AI project, demoed it publicly, and it’s on my resume.”
Build your demo →Fill each beat in your record book, rehearse once, and you’ll out-present most adults.
Who it’s for + the problem. No tech words yet. Opening line: “This is ______, and it helps ______ do ______.”
The live demo — you MUST show one real artifact: a loss curve, a retrieval hit, a confusion matrix, or temperature samples. Narrate what the AI is doing.
Say your number out loud (accuracy / recall / pass-rate) and one thing it can’t do. This beat is why the audience believes the other three.
The harm you anticipated + the specific thing you built against it. Close with what you’d build next.
The formula: Built [thing] using [tools] that [does what, for whom] — [number]. Precision is what makes readers believe you: “char-level LSTM,” not “an AI like ChatGPT.”
Public 4-beat demo with one shown artifact; a resume bullet with a real number.
All 5 badges + all 5 missions. The rare one. Announced at the Showcase.
completed the five-week AI Trailblazers bootcamp — trained & evaluated neural networks in Python, computed gradient descent by hand, built a working language model from scratch, quantified algorithmic bias, and designed, built, and publicly demonstrated an original AI project.
Tap the badges you earned · aligned to the UNESCO AI Competency Framework