Add Week 2 depth systems: research, events, competitors, talent, data
Tech tree with 21 research nodes across 5 categories (infrastructure, efficiency, generation, specialization, safety). Research page with category-grouped cards, progress tracking, prerequisite gating. Event engine with 34 events across industry/regulatory/PR/internal/market categories, weighted random firing, cooldowns, expiry, and choice modal with consequence preview. Events auto-expire with default choice. Competitor system with 3 rival AI labs (Prometheus AI, Nexus Labs, Titan Computing), personality-driven milestone progression, and comparison UI. Talent page with department hiring, headcount management, and key hire recruitment from a pool of 10 named characters with special abilities. Data marketplace with 8 purchasable datasets, user data flywheel from subscribers, and data system processing in tick loop. Era transition system checks revenue/capability/reputation thresholds. All new systems integrated into tick processor with notifications. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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import type { DepartmentId } from '@ai-tycoon/shared';
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/**
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* A recruitable key hire as it appears in the available pool.
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* `hiredAtTick` is omitted because the hire hasn't been recruited yet.
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*/
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export interface KeyHireTemplate {
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id: string;
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name: string;
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department: DepartmentId;
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specialAbility: string;
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description: string;
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requiredEra: string;
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effects: { type: string; value: number }[];
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salary: number;
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loyalty: number;
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}
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/**
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* Master pool of key hires the player can recruit throughout the game.
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* Salary is per-tick. Effect values are fractional multipliers (0.20 = +20%).
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*/
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export const KEY_HIRE_POOL: KeyHireTemplate[] = [
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// ── Research ──────────────────────────────────────────────────────────
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{
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id: 'hire_elena_vasquez',
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name: 'Dr. Elena Vasquez',
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department: 'research',
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specialAbility: 'Scaling Law Whisperer',
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description:
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'Former theoretical physicist who discovered three novel scaling laws. Her intuition for optimal compute allocation is uncanny.',
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requiredEra: 'foundation',
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effects: [{ type: 'research_speed', value: 0.2 }],
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salary: 3,
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loyalty: 0.7,
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},
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{
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id: 'hire_raj_patel',
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name: 'Dr. Raj Patel',
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department: 'research',
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specialAbility: 'Alignment Prodigy',
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description:
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'Published the seminal paper on constitutional training at age 24. Governments call him before passing AI regulation.',
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requiredEra: 'growth',
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effects: [
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{ type: 'research_speed', value: 0.1 },
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{ type: 'reputation', value: 0.15 },
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],
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salary: 4,
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loyalty: 0.85,
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},
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// ── Engineering ───────────────────────────────────────────────────────
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{
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id: 'hire_marcus_chen',
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name: 'Marcus Chen',
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department: 'engineering',
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specialAbility: 'Infrastructure Guru',
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description:
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'Built the internal orchestration layer at three hyperscalers. Can squeeze 40% more throughput out of any GPU cluster before lunch.',
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requiredEra: 'foundation',
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effects: [{ type: 'cost_reduction', value: 0.15 }],
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salary: 3,
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loyalty: 0.6,
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},
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{
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id: 'hire_yuki_tanaka',
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name: 'Yuki Tanaka',
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department: 'engineering',
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specialAbility: 'Latency Assassin',
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description:
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'Obsessed with shaving milliseconds. Once rewrote an entire inference stack on a red-eye flight and deployed it before landing.',
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requiredEra: 'foundation',
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effects: [
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{ type: 'training_speed', value: 0.15 },
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{ type: 'capability_boost', value: 0.05 },
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],
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salary: 2,
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loyalty: 0.55,
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},
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{
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id: 'hire_omar_hassan',
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name: 'Omar Hassan',
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department: 'engineering',
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specialAbility: 'Compiler Whisperer',
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description:
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'Wrote a custom ML compiler that rival labs tried to acqui-hire him just to get access to. His kernel optimizations are legendary.',
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requiredEra: 'growth',
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effects: [
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{ type: 'training_speed', value: 0.2 },
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{ type: 'cost_reduction', value: 0.1 },
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],
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salary: 4,
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loyalty: 0.65,
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},
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// ── Operations ────────────────────────────────────────────────────────
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{
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id: 'hire_diana_okafor',
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name: 'Diana Okafor',
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department: 'operations',
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specialAbility: 'Talent Magnet',
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description:
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'Her recruiting network spans every top CS program on the planet. Candidates accept offers just because she asked.',
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requiredEra: 'foundation',
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effects: [{ type: 'hiring_speed', value: 0.25 }],
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salary: 2,
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loyalty: 0.75,
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},
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{
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id: 'hire_liam_frost',
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name: 'Liam Frost',
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department: 'operations',
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specialAbility: 'Supply Chain Sorcerer',
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description:
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'Secured GPU allocations during the Great Chip Shortage when everyone else was on a two-year waitlist. Knows every fab manager by first name.',
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requiredEra: 'growth',
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effects: [
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{ type: 'cost_reduction', value: 0.1 },
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{ type: 'capability_boost', value: 0.1 },
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],
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salary: 3,
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loyalty: 0.7,
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},
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// ── Sales ─────────────────────────────────────────────────────────────
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{
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id: 'hire_sarah_kim',
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name: 'Sarah Kim',
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department: 'sales',
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specialAbility: 'Enterprise Closer',
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description:
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'Closed the largest SaaS deal in history before turning 30. Fortune 500 CIOs have her on speed dial.',
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requiredEra: 'foundation',
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effects: [{ type: 'revenue_boost', value: 0.25 }],
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salary: 3,
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loyalty: 0.5,
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},
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{
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id: 'hire_alex_reeves',
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name: 'Alex Reeves',
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department: 'sales',
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specialAbility: 'Developer Evangelist',
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description:
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'Their conference talks go viral every time. Open-source communities worship the ground they commit on.',
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requiredEra: 'foundation',
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effects: [
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{ type: 'reputation', value: 0.2 },
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{ type: 'revenue_boost', value: 0.1 },
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],
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salary: 2,
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loyalty: 0.6,
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},
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{
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id: 'hire_isabella_marquez',
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name: 'Isabella Marquez',
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department: 'sales',
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specialAbility: 'Government Liaison',
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description:
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'Former deputy tech advisor to three heads of state. Opens doors to public-sector contracts no one else can touch.',
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requiredEra: 'growth',
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effects: [
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{ type: 'revenue_boost', value: 0.15 },
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{ type: 'reputation', value: 0.1 },
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],
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salary: 5,
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loyalty: 0.8,
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},
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];
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