Application
Tell us who you are. Name, track, a short note, and two written answers. Then, if you want, pick a task for one question.
Full name Email
Track SoftwareOct–Nov 2026 October–November 2026. The first cohort — a realistic software team. DataEarly application Early application for January 2027. Investigate sources and deliver findings a team can use. Machine LearningEarly application Early application for January 2027. Train, evaluate, and ship an ML workflow. Project ManagerEarly application Early application for January 2027. Scope, coordinate, and keep a team shipping. Marketing & SalesApplications open Applications open. Find the audience, write the line, pick who to call, and get a real product in front of people.
City / timezone GitHub or LinkedIn Where you are nowSelect… Student Early career Employed, looking to switch Looking for work Other Hours this monthSelect… 5–10 hours / week 10–15 hours / week 15+ hours / week
What work do you want to do, and what have you already shipped? Optional
Pick a task for one question, or skip.
You inherited a small web-GPT. It never shows a real page. It turns the window into a pile of HTML tags, asks a person what they want, and suggests the next click. A headed Chromium starts before anyone has said the objective. Clicks fire at the last seen box. Every suggestion waits for a human approve, with no replay and no score.
Coding Engineer Data ML Marketing Data The agent clicks tags. A person still does the same ten tasks on a real page.
How the agent did versus a person · last three weeks
Week Agent click Agent nav Profile click Profile nav Notes W1 61% 44% 79% 71% Same ten tasks; tags only W2 68% 39% 74% 70% Page moved after crawl W3 54% 51% 81% 73% Quiet mode hid the tags
How would you measure a person versus this agent on click and navigation — and which week would you throw out?