/**
 * cohorts.ts — Canonical cohort definitions for N=1, N=5, N=10, N=100 benchmarks.
 *
 * N=1   proves it can work
 * N=5   proves it is not just for you
 * N=10  proves it survives role and session variance
 * N=100 proves it compounds over time
 */
/* ─── Canonical Users ────────────────────────────────────────────────────── */
const USERS = {
    founder_homen: {
        userId: "u_founder_homen",
        role: "founder",
        name: "Homen (Founder)",
        description: "Solo technical founder building NodeBench. Weekly reset, delegation, strategy.",
        scenarios: ["weekly_reset", "pre_delegation", "important_change", "competitor_brief", "packet_diff"],
        primaryEntity: "NodeBench",
    },
    banker_sarah: {
        userId: "u_banker_sarah",
        role: "banker",
        name: "Sarah (Banker)",
        description: "Investment banker evaluating AI infrastructure companies for deal flow.",
        scenarios: ["company_search", "competitor_brief", "memo_export", "role_switch"],
        primaryEntity: "Anthropic",
    },
    ceo_marcus: {
        userId: "u_ceo_marcus",
        role: "ceo",
        name: "Marcus (CEO)",
        description: "CEO of a mid-stage startup. Quarterly strategy, board narrative, resource allocation.",
        scenarios: ["weekly_reset", "important_change", "company_search", "memo_export"],
        primaryEntity: "Shopify",
    },
    researcher_lin: {
        userId: "u_researcher_lin",
        role: "researcher",
        name: "Lin (Researcher)",
        description: "AI strategy analyst. Competitor intelligence, market mapping, evidence synthesis.",
        scenarios: ["competitor_brief", "company_search", "uploaded_notes", "html_export"],
        primaryEntity: "Supermemory",
    },
    student_aisha: {
        userId: "u_student_aisha",
        role: "student",
        name: "Aisha (Student)",
        description: "MBA student studying AI commerce strategy. Needs citation-friendly study briefs.",
        scenarios: ["company_search", "uploaded_notes", "memo_export", "role_switch"],
        primaryEntity: "Shopify",
    },
    legal_david: {
        userId: "u_legal_david",
        role: "legal",
        name: "David (Legal)",
        description: "In-house counsel reviewing AI partnerships. Regulatory exposure, governance, IP.",
        scenarios: ["company_search", "important_change", "memo_export"],
        primaryEntity: "Anthropic",
    },
    pm_rachel: {
        userId: "u_pm_rachel",
        role: "pm",
        name: "Rachel (PM)",
        description: "Product manager at an AI-native company. Feature prioritization, competitor tracking.",
        scenarios: ["weekly_reset", "competitor_brief", "important_change", "packet_diff"],
        primaryEntity: "NodeBench",
    },
    contractor_kai: {
        userId: "u_contractor_kai",
        role: "contractor",
        name: "Kai (Contractor)",
        description: "Freelance developer receiving delegation packets. Needs scoped context without full history.",
        scenarios: ["pre_delegation", "packet_diff", "uploaded_notes"],
        primaryEntity: "NodeBench",
    },
    investor_priya: {
        userId: "u_investor_priya",
        role: "investor",
        name: "Priya (Investor)",
        description: "VC partner evaluating AI infrastructure deals. Pipeline tracking, comparables, diligence.",
        scenarios: ["company_search", "competitor_brief", "memo_export", "role_switch"],
        primaryEntity: "Anthropic",
    },
    content_james: {
        userId: "u_content_james",
        role: "content",
        name: "James (Content)",
        description: "Content strategist tracking AI industry trends. Post performance, audience analysis.",
        scenarios: ["company_search", "important_change", "competitor_brief", "html_export"],
        primaryEntity: "Shopify",
    },
};
/* ─── N=1 — Golden Path ──────────────────────────────────────────────────── */
export const COHORT_N1 = {
    cohortId: "cohort_n1_golden_path",
    layer: "N1",
    users: [USERS.founder_homen],
    sessionsPerUser: 1,
    timeHorizons: ["same_session"],
    description: "Single founder run: weekly reset → memo export → pre-delegation → important-change. Proves the golden path works.",
};
/* ─── N=5 — Role Generalization ──────────────────────────────────────────── */
export const COHORT_N5 = {
    cohortId: "cohort_n5_role_variance",
    layer: "N5",
    users: [
        USERS.founder_homen,
        USERS.banker_sarah,
        USERS.ceo_marcus,
        USERS.researcher_lin,
        USERS.student_aisha,
    ],
    sessionsPerUser: 1,
    timeHorizons: ["same_session"],
    description: "5 users with different roles analyze the same entity. Proves role adaptation without hallucination.",
};
/* ─── N=10 — Repeated-Session Stability ──────────────────────────────────── */
export const COHORT_N10 = {
    cohortId: "cohort_n10_session_stability",
    layer: "N10",
    users: [
        USERS.founder_homen,
        USERS.banker_sarah,
        USERS.ceo_marcus,
        USERS.researcher_lin,
        USERS.student_aisha,
    ],
    sessionsPerUser: 2,
    timeHorizons: ["same_session", "next_day"],
    description: "5 users × 2 sessions each. Session 2 tests: remembered context, surfaced delta, refreshed packet. Proves session continuity.",
};
/* ─── N=100 — Longitudinal Compounding ───────────────────────────────────── */
export const COHORT_N100 = {
    cohortId: "cohort_n100_longitudinal",
    layer: "N100",
    users: Object.values(USERS),
    sessionsPerUser: 10,
    timeHorizons: ["same_session", "same_day", "next_day", "weekly", "monthly", "quarterly"],
    description: "10 users × 10 sessions across time horizons. Tests compounding memory, packet reuse, repeat-cognition avoidance, regression resistance.",
};
/* ─── All Cohorts ────────────────────────────────────────────────────────── */
export const ALL_COHORTS = [COHORT_N1, COHORT_N5, COHORT_N10, COHORT_N100];
export const ALL_USERS = USERS;
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