// SeedScreen — the onboarding interview with Socrates. // One screen, two-column: a "form" of fields filling in on the left as Socrates // asks questions on the right, plus a live preview of the seed model emerging. function SeedScreen({ density }) { const [step, setStep] = React.useState(2); // pretend we're 2 questions in const fields = [ { key: "problem", label: "Problem", value: "First-year STEM students disengage in the long tail between lectures and office hours; a self-efficacy gap forms quickly." }, { key: "user", label: "Target user", value: "Undergraduates at large public universities, weeks 3–10 of an intro course." }, { key: "outcome", label: "Desired outcome", value: "Students re-engage with material via a low-stakes thinking partner — without producing solutions." }, { key: "hypothesis", label: "Initial hypothesis", value: "Students will adopt a tool that explicitly refuses to solve their homework.", inferred: true }, { key: "constraint", label: "Constraint", value: "FERPA tenancy, P50 < 1.2s.", inferred: true }, ]; const thread = [ { who: "socrates", text: "Welcome. I'm Socrates. Before we model anything, let me understand what you're really proposing. In one sentence — what is the smallest, most honest version of the problem?" }, { who: "user", text: "Students disengage between lectures because they have nobody to think with at 11pm." }, { who: "socrates", text: "Good. Two follow-ups. First, who specifically — and why now? Second, when you say 'think with', do you mean a tutor that explains, or a partner that asks? These are quite different products." }, { who: "user", text: "Public-university undergrads, weeks 3–10. A partner that asks. The market is saturated with explainers." }, { who: "socrates", text: "Then the central tension is restraint: a tool that holds its tongue. Most LLM products are rewarded for being helpful. Yours will be rewarded for being patient. Should I draft this as a Constraint on the model — refusal_policy : single-valued — and surface it for your review?" }, ]; return (