forked from sagnik/Project_Velocity
sayan
84e439712c
#24 WebOS Completion Co-authored-by: Sayan Datta <sayan@Sayans-MacBook-Air.local> Reviewed-on: sagnik/Project_Velocity#25
498 lines
17 KiB
JSON
498 lines
17 KiB
JSON
{
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"_meta": {
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"version": "1.0.0",
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"created": "2026-04-18",
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"description": "Oracle Template Seed Database — canonical chapter/subchapter taxonomy and seed JSON examples for the Project Velocity Oracle platform",
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"total_chapters": 6,
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"total_subchapters": 24,
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"total_seed_examples": 36
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},
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"chapters": [
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{
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"chapter_id": "ch-001",
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"name": "Market Intelligence",
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"description": "Components for real estate market analysis, pricing trends, demand signals, and competitive landscape.",
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"sort_order": 1,
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"subchapters": [
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{
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"subchapter_id": "sub-001-01",
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"name": "Pricing Trends",
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"description": "Price per sqft trends, AED/m² benchmarks, quarterly movement charts.",
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"sort_order": 1
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},
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{
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"subchapter_id": "sub-001-02",
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"name": "Demand Signals",
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"description": "Search volume, inquiry rate, site visit frequency, and absorption rate components.",
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"sort_order": 2
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},
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{
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"subchapter_id": "sub-001-03",
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"name": "Competitive Landscape",
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"description": "Developer comparison, project pipeline mapping, competitive unit mix analysis.",
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"sort_order": 3
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},
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{
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"subchapter_id": "sub-001-04",
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"name": "Location Index",
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"description": "District-level scores, proximity analysis, infrastructure readiness.",
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"sort_order": 4
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}
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]
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},
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{
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"chapter_id": "ch-002",
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"name": "Lead Intelligence",
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"description": "Components for lead profiling, scoring, pipeline health, and behaviour tracking.",
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"sort_order": 2,
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"subchapters": [
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{
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"subchapter_id": "sub-002-01",
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"name": "Lead Profile",
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"description": "Buyer persona cards, nationality, budget bracket, preferred property type.",
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"sort_order": 1
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},
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{
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"subchapter_id": "sub-002-02",
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"name": "QD Score",
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"description": "Qualification-Desire score breakdown, historical trend, per-dimension scores.",
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"sort_order": 2
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},
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{
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"subchapter_id": "sub-002-03",
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"name": "Pipeline Health",
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"description": "Pipeline stage distribution, velocity, stall alerts, probability weighting.",
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"sort_order": 3
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},
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{
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"subchapter_id": "sub-002-04",
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"name": "Engagement History",
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"description": "Touchpoint timeline, dwell time heat maps, content interaction logs.",
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"sort_order": 4
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}
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]
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},
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{
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"chapter_id": "ch-003",
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"name": "Communication Intelligence",
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"description": "Components surfacing insights from calls, messages, transcripts, and follow-up commitments.",
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"sort_order": 3,
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"subchapters": [
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{
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"subchapter_id": "sub-003-01",
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"name": "Call Summary",
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"description": "Transcript summary, speaker diarization, key-phrase extraction.",
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"sort_order": 1
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},
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{
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"subchapter_id": "sub-003-02",
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"name": "Promise Tracker",
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"description": "Promises made during calls, follow-up dates, commitment confidence.",
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"sort_order": 2
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},
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{
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"subchapter_id": "sub-003-03",
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"name": "WhatsApp Thread",
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"description": "Business WhatsApp message thread summaries, sentiment per message.",
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"sort_order": 3
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},
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{
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"subchapter_id": "sub-003-04",
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"name": "Reminder Surface",
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"description": "Due follow-ups, overdue reminders, NemoClaw-suggested next actions.",
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"sort_order": 4
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}
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]
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},
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{
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"chapter_id": "ch-004",
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"name": "Inventory Analytics",
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"description": "Components for property inventory insight, availability, and absorption.",
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"sort_order": 4,
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"subchapters": [
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{
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"subchapter_id": "sub-004-01",
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"name": "Property Card",
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"description": "Single-property summary card with unit details, pricing, media reference.",
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"sort_order": 1
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},
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{
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"subchapter_id": "sub-004-02",
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"name": "Availability Matrix",
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"description": "Bed-type × availability grid with unit count and price band.",
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"sort_order": 2
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},
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{
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"subchapter_id": "sub-004-03",
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"name": "Absorption Rate",
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"description": "Sales velocity per project and developer over rolling windows.",
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"sort_order": 3
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},
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{
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"subchapter_id": "sub-004-04",
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"name": "Inventory Comparison",
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"description": "Side-by-side comparison of two or more properties on key metrics.",
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"sort_order": 4
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}
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]
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},
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{
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"chapter_id": "ch-005",
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"name": "Operational Metrics",
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"description": "System-level, team-level, and showroom-level operational performance components.",
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"sort_order": 5,
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"subchapters": [
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{
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"subchapter_id": "sub-005-01",
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"name": "Showroom Traffic",
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"description": "Visitor count, zone dwell time, peak hour distribution.",
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"sort_order": 1
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},
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{
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"subchapter_id": "sub-005-02",
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"name": "Team Performance",
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"description": "Agent-level QD scores, conversion rates, call volume, follow-up compliance.",
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"sort_order": 2
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},
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{
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"subchapter_id": "sub-005-03",
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"name": "Campaign Metrics",
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"description": "Catalyst campaign reach, engagement rate, cost-per-lead, ROAS.",
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"sort_order": 3
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},
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{
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"subchapter_id": "sub-005-04",
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"name": "System Health",
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"description": "Backend queue depth, GPU utilization, transcription job latency.",
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"sort_order": 4
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}
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]
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},
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{
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"chapter_id": "ch-006",
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"name": "Calendar and Follow-Up",
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"description": "Components for scheduling, action planning, and NemoClaw-derived follow-up surfaces.",
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"sort_order": 6,
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"subchapters": [
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{
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"subchapter_id": "sub-006-01",
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"name": "Calendar View",
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"description": "Personal calendar view with communication-derived events and reminders.",
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"sort_order": 1
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},
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{
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"subchapter_id": "sub-006-02",
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"name": "Action Queue",
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"description": "Prioritized action list for an agent, ordered by urgency and lead value.",
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"sort_order": 2
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},
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{
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"subchapter_id": "sub-006-03",
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"name": "Follow-Up Plan",
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"description": "Structured follow-up plan derived from call outcomes and NemoClaw insights.",
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"sort_order": 3
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},
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{
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"subchapter_id": "sub-006-04",
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"name": "Reminder Cards",
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"description": "Surface-agnostic reminder card applicable to tablet and phone edge.",
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"sort_order": 4
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}
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]
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}
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],
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"seed_examples": [
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{
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"example_id": "ex-001",
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"chapter_id": "ch-001",
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"subchapter_id": "sub-001-01",
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"title": "Dubai Marina — Price Per Sqft Trend (12-Month)",
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"quality_notes": "Canonical example. Use for pricing trend chart templates.",
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"is_canonical": true,
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"template_name": "Pricing Trend Chart",
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"component_type": "line_chart",
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"accepted_shapes": ["time_series"],
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"example_json": {
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"componentType": "line_chart",
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"title": "Dubai Marina — AED/sqft Trend",
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"subtitle": "12-Month Rolling Average",
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"dataSource": {
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"type": "inventory_aggregate",
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"district": "Dubai Marina",
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"metric": "avg_price_per_sqft",
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"window": "12M"
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},
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"visualization": {
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"xAxis": "month",
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"yAxis": "aed_per_sqft",
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"format": "currency_aed",
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"annotations": [
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{ "date": "2025-10", "label": "Off-plan surge", "type": "event" }
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],
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"trend_line": true,
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"confidence_band": false
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},
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"style": {
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"accentColor": "#2563EB",
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"gridLines": "subtle"
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}
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}
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},
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{
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"example_id": "ex-002",
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"chapter_id": "ch-001",
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"subchapter_id": "sub-001-02",
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"title": "Inquiry Velocity — Downtown Dubai (30-Day)",
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"quality_notes": "Use for demand signal bar charts.",
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"is_canonical": true,
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"template_name": "Demand Signal Bar",
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"component_type": "bar_chart",
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"accepted_shapes": ["categorical_count"],
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"example_json": {
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"componentType": "bar_chart",
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"title": "Inquiry Volume — Downtown Dubai",
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"subtitle": "Last 30 Days by Week",
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"dataSource": {
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"type": "crm_aggregate",
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"district": "Downtown Dubai",
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"metric": "inquiry_count",
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"window": "30D",
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"groupBy": "week"
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},
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"visualization": {
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"xAxis": "week",
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"yAxis": "inquiry_count",
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"format": "integer",
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"comparison": { "enabled": true, "label": "Prior 30D", "style": "ghost_bar" }
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},
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"style": {
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"accentColor": "#10B981",
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"barRadius": 4
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}
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}
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},
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{
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"example_id": "ex-003",
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"chapter_id": "ch-002",
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"subchapter_id": "sub-002-02",
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"title": "Lead QD Score Card — Mohammed Al-Rashid",
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"quality_notes": "Canonical single-lead QD score breakdown card.",
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"is_canonical": true,
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"template_name": "QD Score Card",
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"component_type": "metric_card_group",
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"accepted_shapes": ["qd_score_breakdown"],
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"example_json": {
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"componentType": "metric_card_group",
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"title": "QD Score",
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"subtitle": "Qualification × Desire",
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"dataSource": {
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"type": "sentinel_qd",
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"leadId": "{{lead_id}}"
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},
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"visualization": {
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"layout": "2x2_grid",
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"cards": [
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{ "dimension": "overall", "label": "Overall QD", "format": "percentage" },
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{ "dimension": "qualification", "label": "Qualification", "format": "percentage" },
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{ "dimension": "desire", "label": "Desire", "format": "percentage" },
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{ "dimension": "velocity", "label": "Engagement Velocity", "format": "trend_arrow" }
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],
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"threshold_colors": {
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"high": "#10B981",
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"medium": "#F59E0B",
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"low": "#EF4444"
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}
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}
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}
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},
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{
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"example_id": "ex-004",
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"chapter_id": "ch-003",
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"subchapter_id": "sub-003-01",
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"title": "Call Summary Card — Diarized Transcript with Key Phrases",
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"quality_notes": "Canonical call summary. Use for communication intelligence panels.",
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"is_canonical": true,
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"template_name": "Call Summary Card",
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"component_type": "communication_summary",
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"accepted_shapes": ["transcript_summary"],
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"example_json": {
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"componentType": "communication_summary",
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"title": "Call Summary",
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"dataSource": {
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"type": "edge_communication_event",
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"eventId": "{{event_id}}",
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"channel": "pstn"
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},
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"visualization": {
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"layout": "timeline_with_phrases",
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"show_speaker_labels": true,
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"show_duration": true,
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"show_sentiment": true,
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"key_phrase_highlight": true,
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"sections": ["summary", "promises", "key_phrases", "next_action"]
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}
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}
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},
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{
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"example_id": "ex-005",
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"chapter_id": "ch-003",
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"subchapter_id": "sub-003-02",
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"title": "Promise Tracker — Lead Follow-Up Commitments",
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"quality_notes": "Canonical promise tracker. Use for follow-up reminder surfaces.",
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"is_canonical": true,
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"template_name": "Promise Tracker Table",
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"component_type": "data_table",
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"accepted_shapes": ["communication_facts"],
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"example_json": {
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"componentType": "data_table",
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"title": "Promises and Commitments",
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"dataSource": {
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"type": "edge_memory_facts",
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"leadId": "{{lead_id}}",
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"factTypes": ["promise", "follow_up_date", "decision_maker_note"]
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},
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"visualization": {
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"columns": [
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{ "key": "fact_text", "label": "Commitment", "width": "flex" },
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{ "key": "effective_date", "label": "Due", "format": "date_relative" },
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{ "key": "confidence", "label": "Confidence", "format": "percentage" },
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{ "key": "extracted_from", "label": "Source", "format": "badge" }
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],
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"row_actions": ["mark_done", "create_calendar_event"],
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"sort": { "column": "effective_date", "direction": "asc" }
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}
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}
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},
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{
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"example_id": "ex-006",
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"chapter_id": "ch-004",
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"subchapter_id": "sub-004-01",
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"title": "Property Card — Sobha One Tower A",
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"quality_notes": "Canonical property card. Use for inventory summaries.",
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"is_canonical": true,
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"template_name": "Property Summary Card",
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"component_type": "property_card",
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"accepted_shapes": ["inventory_property"],
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"example_json": {
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"componentType": "property_card",
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"title": "Property Summary",
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"dataSource": {
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"type": "inventory_property",
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"propertyId": "{{property_id}}"
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},
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"visualization": {
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"layout": "hero_with_stats",
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"sections": [
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"project_name",
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"developer_name",
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"location_map_pin",
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"price_bands",
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"unit_mix_summary",
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"amenity_chips",
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"media_carousel"
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],
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"cta": { "label": "Schedule Viewing", "action": "create_calendar_event" }
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}
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}
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},
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{
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"example_id": "ex-007",
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"chapter_id": "ch-005",
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"subchapter_id": "sub-005-01",
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"title": "Showroom Traffic Heatmap",
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"quality_notes": "Canonical traffic component. Use for operational dashboards.",
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"is_canonical": true,
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"template_name": "Showroom Traffic Heatmap",
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"component_type": "heatmap",
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"accepted_shapes": ["zone_time_matrix"],
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"example_json": {
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"componentType": "heatmap",
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"title": "Showroom Zone Traffic",
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"subtitle": "Today — Live",
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"dataSource": {
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"type": "sentinel_live",
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"metric": "visitor_dwell_time",
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"groupBy": ["zone", "hour"]
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},
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"visualization": {
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"xAxis": "hour_of_day",
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"yAxis": "zone_name",
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"value": "avg_dwell_minutes",
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"colorScale": { "low": "#EFF6FF", "high": "#1D4ED8" },
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"annotations": true
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}
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}
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},
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{
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"example_id": "ex-008",
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"chapter_id": "ch-006",
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"subchapter_id": "sub-006-04",
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"title": "Phone Edge Reminder Card — Follow-Up Due",
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"quality_notes": "Designed for narrow phone edge surfaces. Minimal data footprint.",
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"is_canonical": true,
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"template_name": "Reminder Card",
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"component_type": "compact_alert_card",
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"accepted_shapes": ["insight_recommendation"],
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"example_json": {
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"componentType": "compact_alert_card",
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"title": "Follow-Up Reminder",
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"dataSource": {
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"type": "insight_recommendations",
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"leadId": "{{lead_id}}",
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"status": "pending",
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"limit": 1
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},
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"visualization": {
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"layout": "single_card_narrow",
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"fields": ["summary", "suggested_action", "target_system"],
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"actions": ["accept", "dismiss", "snooze_1h"],
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"urgency_indicator": true,
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"surface_target": ["iphone_edge", "android_phone_edge"]
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}
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}
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}
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],
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"kimi_synthetic_plan": {
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"description": "Downstream Kimi synthetic data expansion plan consuming this seed DB",
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"expansion_targets": [
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{
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"chapter_id": "ch-001",
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"subchapter_id": "sub-001-01",
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"seed_example_ids": ["ex-001"],
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"requested_count": 50,
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"model": "kimi",
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"diversity_axes": ["district", "property_type", "time_window"]
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},
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{
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"chapter_id": "ch-002",
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"subchapter_id": "sub-002-02",
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"seed_example_ids": ["ex-003"],
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"requested_count": 100,
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"model": "kimi",
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"diversity_axes": ["lead_nationality", "budget_bracket", "pipeline_stage"]
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},
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{
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"chapter_id": "ch-003",
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"subchapter_id": "sub-003-01",
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"seed_example_ids": ["ex-004"],
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"requested_count": 200,
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"model": "kimi",
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"diversity_axes": ["call_outcome", "property_type", "language"]
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},
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{
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"chapter_id": "ch-004",
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"subchapter_id": "sub-004-01",
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"seed_example_ids": ["ex-006"],
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"requested_count": 150,
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"model": "kimi",
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"diversity_axes": ["developer_name", "district", "bedrooms"]
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}
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],
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"quality_gate": {
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"min_acceptance_confidence": 0.8,
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"human_review_required_for_canonical": true,
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"auto_accept_below_count": 20
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}
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}
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||
}
|