feat: Oracle Canvas Component Schema and Qwen 3.6 integration (#31)

Co-authored-by: Sagnik <sagnik7896@gmail.com>
Reviewed-on: sagnik/Project_Velocity#31

.Agent Context/Sprint 1/Sayan Multi-Surface and Oracle Delivery Pack/Sample JSON Schema/Claude Sonnet 4.6/oracle_template_expansion/README.md

@@ -0,0 +1,225 @@
+# Oracle Template Seed DB — Expanded Examples v2.0
+
+**Project:** Velocity — Multi-Surface Platform and Oracle Expansion  
+**Date:** 2026-04-19  
+**Owner:** Sayan (generated as part of Sprint 1 Oracle Template Taxonomy deliverable)  
+**Depends on:** `schema_extension_v2.sql`, `oracle_template_seed_db.json` (v1.0 canonical seeds)  
+**Total Examples:** 1,200 (50 per subchapter × 24 subchapters × 6 chapters)
+
+---
+
+## What This Is
+
+This package expands the original 8-example Oracle Template Seed DB (`oracle_template_seed_db.json`) into a full 1,200-example corpus covering every subchapter in the Oracle template taxonomy. It is the implementation artifact for Sprint 1 deliverable **§2.4 — Oracle Template Taxonomy and Seed JSON Structure**.
+
+Every example conforms to the established Velocity Oracle component contract shape. They are ready to be ingested into `oracle_template_seed_examples` via the `POST /api/oracle/component-templates/seed` route and consumed by Kimi Synthetic Data expansion jobs (`oracle_synthetic_generation_jobs`).
+
+---
+
+## File Layout
+
+```
+oracle_template_expansion/
+│
+├── README.md                                   ← This file
+├── oracle_template_seed_db_expanded.json       ← Master combined file (all 1,200 examples)
+│
+├── sub-001-01_pricing_trends.json              ← 50 examples
+├── sub-001-02_demand_signals.json              ← 50 examples
+├── sub-001-03_competitive_landscape.json       ← 50 examples
+├── sub-001-04_location_index.json              ← 50 examples
+│
+├── sub-002-01_lead_profile.json                ← 50 examples
+├── sub-002-02_qd_score.json                    ← 50 examples
+├── sub-002-03_pipeline_health.json             ← 50 examples
+├── sub-002-04_engagement_history.json          ← 50 examples
+│
+├── sub-003-01_call_summary.json                ← 50 examples
+├── sub-003-02_promise_tracker.json             ← 50 examples
+├── sub-003-03_whatsapp_thread.json             ← 50 examples
+├── sub-003-04_reminder_surface.json            ← 50 examples
+│
+├── sub-004-01_property_card.json               ← 50 examples
+├── sub-004-02_availability_matrix.json         ← 50 examples
+├── sub-004-03_absorption_rate.json             ← 50 examples
+├── sub-004-04_inventory_comparison.json        ← 50 examples
+│
+├── sub-005-01_showroom_traffic.json            ← 50 examples
+├── sub-005-02_team_performance.json            ← 50 examples
+├── sub-005-03_campaign_metrics.json            ← 50 examples
+├── sub-005-04_system_health.json               ← 50 examples
+│
+├── sub-006-01_calendar_view.json               ← 50 examples
+├── sub-006-02_action_queue.json                ← 50 examples
+├── sub-006-03_follow-up_plan.json              ← 50 examples
+└── sub-006-04_reminder_cards.json              ← 50 examples
+```
+
+---
+
+## Chapter and Subchapter Map
+
+| Chapter | Name | Subchapters | Examples |
+|---------|------|-------------|----------|
+| ch-001 | Market Intelligence | Pricing Trends, Demand Signals, Competitive Landscape, Location Index | 200 |
+| ch-002 | Lead Intelligence | Lead Profile, QD Score, Pipeline Health, Engagement History | 200 |
+| ch-003 | Communication Intelligence | Call Summary, Promise Tracker, WhatsApp Thread, Reminder Surface | 200 |
+| ch-004 | Inventory Analytics | Property Card, Availability Matrix, Absorption Rate, Inventory Comparison | 200 |
+| ch-005 | Operational Metrics | Showroom Traffic, Team Performance, Campaign Metrics, System Health | 200 |
+| ch-006 | Calendar and Follow-Up | Calendar View, Action Queue, Follow-Up Plan, Reminder Cards | 200 |
+| **Total** | | **24 subchapters** | **1,200** |
+
+---
+
+## Component Type Coverage
+
+| componentType | Subchapters Used In | Approx Count |
+|---------------|---------------------|--------------|
+| `line_chart` | sub-001-01, sub-001-02, sub-004-03, sub-005-01, sub-005-02, sub-005-03 | ~120 |
+| `bar_chart` | sub-001-02, sub-001-03, sub-004-03, sub-005-01, sub-005-02, sub-005-03 | ~100 |
+| `area_chart` | sub-001-01, sub-004-03, sub-005-01 | ~45 |
+| `heatmap` | sub-001-04, sub-005-01 | ~40 |
+| `metric_card_group` | sub-002-02, sub-005-02, sub-005-03 | ~60 |
+| `data_table` | sub-003-02 | ~50 |
+| `property_card` | sub-004-01 | ~50 |
+| `lead_profile_card` | sub-002-01 | ~50 |
+| `communication_summary` | sub-003-01 | ~50 |
+| `whatsapp_thread_viewer` | sub-003-03 | ~50 |
+| `reminder_surface` | sub-003-04 | ~50 |
+| `compact_alert_card` | sub-006-04 | ~50 |
+| `action_queue` | sub-006-02 | ~50 |
+| `calendar_view` | sub-006-01 | ~50 |
+| `follow_up_plan` | sub-006-03 | ~50 |
+| `availability_matrix` | sub-004-02 | ~50 |
+| `inventory_comparison` | sub-004-04 | ~50 |
+| `system_health_panel` | sub-005-04 | ~50 |
+| `radar_chart`, `scatter_chart`, `funnel_chart`, others | various | ~135 |
+
+---
+
+## Example JSON Structure
+
+Every example in every subchapter file follows this envelope:
+
+```json
+{
+  "example_id": "ex-0009",
+  "chapter_id": "ch-001",
+  "subchapter_id": "sub-001-01",
+  "title": "Component title string",
+  "quality_notes": "Human-readable note about this variant",
+  "is_canonical": true,
+  "template_name": "Subchapter Name — Template N",
+  "component_type": "line_chart",
+  "accepted_shapes": ["time_series"],
+  "example_json": {
+    "componentType": "line_chart",
+    "title": "...",
+    "subtitle": "...",
+    "dataSource": { ... },
+    "visualization": { ... },
+    "style": { ... },
+    "surfaceTargets": [ ... ]
+  }
+}
+```
+
+The first example in each subchapter (`is_canonical: true`) is the recommended reference template for that subchapter.
+
+---
+
+## Design Language Compliance
+
+All examples follow the established Velocity Oracle design language:
+
+**Color palette** — All `accentColor` values come from the 10-color Velocity token set:
+- `#2563EB` (primary blue), `#10B981` (emerald), `#F59E0B` (amber), `#EF4444` (red)
+- `#8B5CF6` (violet), `#0EA5E9` (sky), `#EC4899` (pink), `#14B8A6` (teal)
+- `#F97316` (orange), `#6366F1` (indigo)
+
+**Semantic colors** — Status colors are fixed:
+- Healthy / positive: `#10B981`
+- Warning: `#F59E0B`
+- Critical / negative: `#EF4444`
+- Neutral / muted: `#94A3B8`
+
+**Data source types** — Examples use only the contracted Oracle data source types:
+- `inventory_aggregate`, `inventory_property`, `inventory_multi_property`
+- `crm_lead`, `crm_aggregate`, `crm_engagement`, `crm_pipeline`, `crm_team_performance`
+- `sentinel_qd`, `sentinel_live`, `sentinel_historical`
+- `edge_communication_event`, `edge_memory_facts`
+- `user_calendar_events`, `insight_recommendations`
+- `nemoclaw_plan`, `catalyst_campaign`, `admin_health`, `competitive_intelligence`, `location_intelligence`
+
+**Template variables** — Dynamic entity references use double-brace mustache syntax: `{{lead_id}}`, `{{property_id}}`, `{{agent_id}}`, `{{event_id}}`, `{{tenant_id}}`, `{{user_id}}`.
+
+**Surface targets** — Every example declares `surfaceTargets` from the set: `webos`, `ipad`, `android_tablet`, `iphone_edge`, `android_phone_edge`.
+
+---
+
+## Permutation Logic
+
+Each subchapter's 50 examples are generated by cycling through permutation combinations of:
+
+- **District / developer / lead / agent names** — drawn from real Dubai market data (districts, developer names, nationality mix aligned to UAE CRM reality)
+- **Time windows** — `7D`, `14D`, `30D`, `60D`, `90D`, `6M`, `12M`, `24M`, `YTD`, `QTD`
+- **Chart types** — 4–6 types per subchapter appropriate to the data shape
+- **Grouping dimensions** — e.g. by agent, district, property type, nationality
+- **Layout variants** — e.g. `hero_with_stats`, `compact_card`, `list_row` for property cards
+- **Action sets** — e.g. `accept / dismiss / snooze_1h` vs `call_now / send_whatsapp / dismiss`
+- **Optional fields** — annotations, benchmarks, comparisons, sparklines toggled on/off across the 50
+
+This means every subchapter has diverse examples covering different use cases while staying within the correct data contract for that component family.
+
+---
+
+## How to Ingest Into the Database
+
+### Option 1 — Per-subchapter seed via Admin Surface
+
+```bash
+POST /api/oracle/component-templates/seed
+Content-Type: application/json
+
+{
+  "subchapter_id": "<uuid from oracle_template_subchapters>",
+  "examples": [ ... ]   # paste the "examples" array from the per-subchapter file
+}
+```
+
+### Option 2 — Bulk ingest via Kimi Synthetic Job
+
+The master file (`oracle_template_seed_db_expanded.json`) is the correct input for `oracle_synthetic_generation_jobs`. Insert a job row referencing the template and let the background worker distribute examples into `oracle_template_seed_examples`.
+
+### Option 3 — Direct SQL seed (dev/staging only)
+
+```sql
+INSERT INTO oracle_template_seed_examples
+  (template_id, chapter_id, subchapter_id, title, example_json, quality_notes, is_canonical)
+VALUES
+  (...);
+```
+
+Map string chapter/subchapter IDs from the JSON against the UUID rows you insert via the migration in `schema_extension_v2.sql`.
+
+---
+
+## Known Caveats and Next Steps
+
+- **`_meta.total_seed_examples` in v1 seed DB** — The original `oracle_template_seed_db.json` reports `36` in `_meta.total_seed_examples` but only contains 8 examples. This mismatch was noted in `delivery_log.md`. This expansion does not patch the v1 file; correct it separately before merging both corpora.
+
+- **Kimi expansion** — These 1,200 examples are the **seed corpus**, not the synthetic expansion. Run `oracle_synthetic_generation_jobs` against published templates to generate the larger training/demo sets described in `KIMI_SYNTHETIC_DATA_DOWNSTREAM_PLAN.md`.
+
+- **UUID mapping** — The `chapter_id` and `subchapter_id` fields in these files use the string keys from the v1 seed DB (`ch-001`, `sub-001-01`). Your migration script must map these to the PostgreSQL UUIDs inserted by `schema_extension_v2.sql`.
+
+- **Template IDs** — `example_json.template_name` is a human label. Actual `template_id` UUIDs are assigned at ingestion time against `oracle_component_templates`.
+
+---
+
+## Generation Script
+
+The generator script is included at `generate_examples.py` in the repo root (outside this zip). It is reproducible — re-running it with the same seed logic will produce the same 1,200 examples.
+
+---
+
+*Generated by Project Velocity platform tooling · 2026-04-19*

.Agent Context/Sprint 1/Sayan Multi-Surface and Oracle Delivery Pack/Sample JSON Schema/GPT 5.4/oracle_canvas_json_expansion_pack/README.md

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+# Oracle Canvas JSON Expansion Pack
+
+This pack expands the current Oracle template seed library into a reviewable example set with **50 examples per subchapter** across all **24 subchapters**.
+
+## What is inside
+
+- `db/oracle_template_seed_db_expanded_v1.pretty.json`  
+  Full expanded master DB with chapter taxonomy and all **1200** examples.
+
+- `db/oracle_template_seed_db_expanded_v1.min.json`  
+  Minified version of the same master DB.
+
+- `examples/`  
+  Chapter-by-chapter split files. Each subchapter file contains exactly **50** examples.
+
+- `manifests/template_family_catalog.json`  
+  Component families, accepted shapes, policy tags, and backend hints per subchapter.
+
+- `manifests/subchapter_index.json`  
+  Index of all generated files.
+
+- `manifests/validation_report.json`  
+  Validation summary for counts and ID uniqueness.
+
+- `csv/subchapter_example_counts.csv`  
+  Spreadsheet-friendly count manifest.
+
+## Source alignment
+
+This pack was generated against the current repo direction and constraints:
+
+- FastAPI backend remains canonical.
+- Oracle remains the analytical center.
+- Mobile edge surfaces remain narrow, bounded control surfaces.
+- Communication intelligence examples stay inside supported channels and provenance-aware capture modes.
+- Admin examples only model bounded and auditable actions.
+- The expanded examples follow the live-data-first / no-mock direction from the delivery log.
+
+## Important correction carried forward
+
+The source seed DB metadata currently reports `total_seed_examples: 36`, but the source file actually contains **8** canonical seed examples.  
+This expansion pack corrects the count in its own metadata and preserves the existing canonical examples inside the 50-example-per-subchapter allocation wherever they already existed.
+
+## Design language used
+
+Common policy tags applied through the pack:
+
+- `backend_owned`
+- `live_data_first`
+- `no_mock_fallback`
+- `surface_safe`
+
+Additional policy tags appear per subchapter where relevant, including:
+
+- `supported_channel_only`
+- `provider_provenance_required`
+- `bounded_admin_actions`
+- `confirmation_required_for_writeback`
+- `business_whatsapp_scope`
+- `nemoclaw_suggested`
+
+## Notes on IDs
+
+The source taxonomy uses symbolic IDs such as `ch-001` and `sub-001-01`.  
+This pack preserves those symbolic IDs for review and lineage consistency.
+
+Generated example IDs use deterministic `exg-*` identifiers. Existing canonical example IDs from the source file are preserved.
+
+## Suggested use
+
+1. Review examples subchapter-by-subchapter from `examples/`.
+2. Use `template_family_catalog.json` to decide which component families should become formal reusable templates.
+3. Use the master DB JSON once you are ready to merge the chosen examples into the Oracle seed library.
+4. Keep the metadata notes about symbolic taxonomy IDs in mind when preparing any DB import step against UUID-backed SQL tables.
+
+## Counts
+
+- Chapters: 6
+- Subchapters: 24
+- Total examples: 1200
+- Canonical carried forward: 8
+- Generated additions: 1192

.Agent Context/Sprint 1/Sayan Multi-Surface and Oracle Delivery Pack/Sample JSON Schema/GPT 5.4/oracle_canvas_json_expansion_pack/csv/subchapter_example_counts.csv

@@ -0,0 +1,25 @@
+chapter_id,chapter_name,subchapter_id,subchapter_name,example_count,file
+ch-001,Market Intelligence,sub-001-01,Pricing Trends,50,examples/ch-001_market-intelligence/sub-001-01_pricing-trends.json
+ch-001,Market Intelligence,sub-001-02,Demand Signals,50,examples/ch-001_market-intelligence/sub-001-02_demand-signals.json
+ch-001,Market Intelligence,sub-001-03,Competitive Landscape,50,examples/ch-001_market-intelligence/sub-001-03_competitive-landscape.json
+ch-001,Market Intelligence,sub-001-04,Location Index,50,examples/ch-001_market-intelligence/sub-001-04_location-index.json
+ch-002,Lead Intelligence,sub-002-01,Lead Profile,50,examples/ch-002_lead-intelligence/sub-002-01_lead-profile.json
+ch-002,Lead Intelligence,sub-002-02,QD Score,50,examples/ch-002_lead-intelligence/sub-002-02_qd-score.json
+ch-002,Lead Intelligence,sub-002-03,Pipeline Health,50,examples/ch-002_lead-intelligence/sub-002-03_pipeline-health.json
+ch-002,Lead Intelligence,sub-002-04,Engagement History,50,examples/ch-002_lead-intelligence/sub-002-04_engagement-history.json
+ch-003,Communication Intelligence,sub-003-01,Call Summary,50,examples/ch-003_communication-intelligence/sub-003-01_call-summary.json
+ch-003,Communication Intelligence,sub-003-02,Promise Tracker,50,examples/ch-003_communication-intelligence/sub-003-02_promise-tracker.json
+ch-003,Communication Intelligence,sub-003-03,WhatsApp Thread,50,examples/ch-003_communication-intelligence/sub-003-03_whatsapp-thread.json
+ch-003,Communication Intelligence,sub-003-04,Reminder Surface,50,examples/ch-003_communication-intelligence/sub-003-04_reminder-surface.json
+ch-004,Inventory Analytics,sub-004-01,Property Card,50,examples/ch-004_inventory-analytics/sub-004-01_property-card.json
+ch-004,Inventory Analytics,sub-004-02,Availability Matrix,50,examples/ch-004_inventory-analytics/sub-004-02_availability-matrix.json
+ch-004,Inventory Analytics,sub-004-03,Absorption Rate,50,examples/ch-004_inventory-analytics/sub-004-03_absorption-rate.json
+ch-004,Inventory Analytics,sub-004-04,Inventory Comparison,50,examples/ch-004_inventory-analytics/sub-004-04_inventory-comparison.json
+ch-005,Operational Metrics,sub-005-01,Showroom Traffic,50,examples/ch-005_operational-metrics/sub-005-01_showroom-traffic.json
+ch-005,Operational Metrics,sub-005-02,Team Performance,50,examples/ch-005_operational-metrics/sub-005-02_team-performance.json
+ch-005,Operational Metrics,sub-005-03,Campaign Metrics,50,examples/ch-005_operational-metrics/sub-005-03_campaign-metrics.json
+ch-005,Operational Metrics,sub-005-04,System Health,50,examples/ch-005_operational-metrics/sub-005-04_system-health.json
+ch-006,Calendar and Follow-Up,sub-006-01,Calendar View,50,examples/ch-006_calendar-and-follow-up/sub-006-01_calendar-view.json
+ch-006,Calendar and Follow-Up,sub-006-02,Action Queue,50,examples/ch-006_calendar-and-follow-up/sub-006-02_action-queue.json
+ch-006,Calendar and Follow-Up,sub-006-03,Follow-Up Plan,50,examples/ch-006_calendar-and-follow-up/sub-006-03_follow-up-plan.json
+ch-006,Calendar and Follow-Up,sub-006-04,Reminder Cards,50,examples/ch-006_calendar-and-follow-up/sub-006-04_reminder-cards.json

.Agent Context/Sprint 1/Sayan Multi-Surface and Oracle Delivery Pack/Sample JSON Schema/GPT 5.4/oracle_canvas_json_expansion_pack/manifests/subchapter_index.json

@@ -0,0 +1,194 @@
+[
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-01",
+    "subchapter_name": "Pricing Trends",
+    "example_count": 50,
+    "file": "examples/ch-001_market-intelligence/sub-001-01_pricing-trends.json"
+  },
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-02",
+    "subchapter_name": "Demand Signals",
+    "example_count": 50,
+    "file": "examples/ch-001_market-intelligence/sub-001-02_demand-signals.json"
+  },
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-03",
+    "subchapter_name": "Competitive Landscape",
+    "example_count": 50,
+    "file": "examples/ch-001_market-intelligence/sub-001-03_competitive-landscape.json"
+  },
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-04",
+    "subchapter_name": "Location Index",
+    "example_count": 50,
+    "file": "examples/ch-001_market-intelligence/sub-001-04_location-index.json"
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-01",
+    "subchapter_name": "Lead Profile",
+    "example_count": 50,
+    "file": "examples/ch-002_lead-intelligence/sub-002-01_lead-profile.json"
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-02",
+    "subchapter_name": "QD Score",
+    "example_count": 50,
+    "file": "examples/ch-002_lead-intelligence/sub-002-02_qd-score.json"
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-03",
+    "subchapter_name": "Pipeline Health",
+    "example_count": 50,
+    "file": "examples/ch-002_lead-intelligence/sub-002-03_pipeline-health.json"
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-04",
+    "subchapter_name": "Engagement History",
+    "example_count": 50,
+    "file": "examples/ch-002_lead-intelligence/sub-002-04_engagement-history.json"
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-01",
+    "subchapter_name": "Call Summary",
+    "example_count": 50,
+    "file": "examples/ch-003_communication-intelligence/sub-003-01_call-summary.json"
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-02",
+    "subchapter_name": "Promise Tracker",
+    "example_count": 50,
+    "file": "examples/ch-003_communication-intelligence/sub-003-02_promise-tracker.json"
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-03",
+    "subchapter_name": "WhatsApp Thread",
+    "example_count": 50,
+    "file": "examples/ch-003_communication-intelligence/sub-003-03_whatsapp-thread.json"
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-04",
+    "subchapter_name": "Reminder Surface",
+    "example_count": 50,
+    "file": "examples/ch-003_communication-intelligence/sub-003-04_reminder-surface.json"
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-01",
+    "subchapter_name": "Property Card",
+    "example_count": 50,
+    "file": "examples/ch-004_inventory-analytics/sub-004-01_property-card.json"
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-02",
+    "subchapter_name": "Availability Matrix",
+    "example_count": 50,
+    "file": "examples/ch-004_inventory-analytics/sub-004-02_availability-matrix.json"
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-03",
+    "subchapter_name": "Absorption Rate",
+    "example_count": 50,
+    "file": "examples/ch-004_inventory-analytics/sub-004-03_absorption-rate.json"
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-04",
+    "subchapter_name": "Inventory Comparison",
+    "example_count": 50,
+    "file": "examples/ch-004_inventory-analytics/sub-004-04_inventory-comparison.json"
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-01",
+    "subchapter_name": "Showroom Traffic",
+    "example_count": 50,
+    "file": "examples/ch-005_operational-metrics/sub-005-01_showroom-traffic.json"
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-02",
+    "subchapter_name": "Team Performance",
+    "example_count": 50,
+    "file": "examples/ch-005_operational-metrics/sub-005-02_team-performance.json"
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-03",
+    "subchapter_name": "Campaign Metrics",
+    "example_count": 50,
+    "file": "examples/ch-005_operational-metrics/sub-005-03_campaign-metrics.json"
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-04",
+    "subchapter_name": "System Health",
+    "example_count": 50,
+    "file": "examples/ch-005_operational-metrics/sub-005-04_system-health.json"
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-01",
+    "subchapter_name": "Calendar View",
+    "example_count": 50,
+    "file": "examples/ch-006_calendar-and-follow-up/sub-006-01_calendar-view.json"
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-02",
+    "subchapter_name": "Action Queue",
+    "example_count": 50,
+    "file": "examples/ch-006_calendar-and-follow-up/sub-006-02_action-queue.json"
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-03",
+    "subchapter_name": "Follow-Up Plan",
+    "example_count": 50,
+    "file": "examples/ch-006_calendar-and-follow-up/sub-006-03_follow-up-plan.json"
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-04",
+    "subchapter_name": "Reminder Cards",
+    "example_count": 50,
+    "file": "examples/ch-006_calendar-and-follow-up/sub-006-04_reminder-cards.json"
+  }
+]

.Agent Context/Sprint 1/Sayan Multi-Surface and Oracle Delivery Pack/Sample JSON Schema/GPT 5.4/oracle_canvas_json_expansion_pack/manifests/template_family_catalog.json

@@ -0,0 +1,931 @@
+[
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-01",
+    "subchapter_name": "Pricing Trends",
+    "component_types": [
+      "area_chart",
+      "benchmark_band_chart",
+      "dual_axis_chart",
+      "line_chart",
+      "sparkline_metric"
+    ],
+    "accepted_shapes": [
+      "comparative_time_series",
+      "district_benchmark",
+      "dual_metric_time_series",
+      "segment_snapshot",
+      "time_series"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "oracle",
+    "primary_tables": [
+      "oracle_component_templates",
+      "inventory_properties"
+    ]
+  },
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-02",
+    "subchapter_name": "Demand Signals",
+    "component_types": [
+      "bar_chart",
+      "funnel_chart",
+      "heatmap",
+      "line_chart",
+      "metric_card_group"
+    ],
+    "accepted_shapes": [
+      "categorical_count",
+      "conversion_funnel",
+      "demand_snapshot",
+      "intent_time_series",
+      "zone_time_matrix"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "oracle",
+    "primary_tables": [
+      "oracle_component_templates",
+      "inventory_properties"
+    ]
+  },
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-03",
+    "subchapter_name": "Competitive Landscape",
+    "component_types": [
+      "bar_chart",
+      "comparison_table",
+      "grouped_bar_chart",
+      "matrix_grid",
+      "scorecard_panel"
+    ],
+    "accepted_shapes": [
+      "competitive_matrix",
+      "competitive_scorecard",
+      "developer_benchmark",
+      "developer_pipeline",
+      "unit_mix_distribution"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "oracle",
+    "primary_tables": [
+      "oracle_component_templates",
+      "inventory_properties"
+    ]
+  },
+  {
+    "chapter_id": "ch-001",
+    "chapter_name": "Market Intelligence",
+    "subchapter_id": "sub-001-04",
+    "subchapter_name": "Location Index",
+    "component_types": [
+      "data_table",
+      "map_score_card",
+      "radar_chart",
+      "scorecard_panel",
+      "timeline_chart"
+    ],
+    "accepted_shapes": [
+      "district_ranking",
+      "infrastructure_readiness",
+      "location_index",
+      "location_map_summary",
+      "proximity_profile"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "oracle",
+    "primary_tables": [
+      "oracle_component_templates",
+      "inventory_properties"
+    ]
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-01",
+    "subchapter_name": "Lead Profile",
+    "component_types": [
+      "affinity_card",
+      "cluster_card",
+      "lead_profile_card",
+      "metric_card_group",
+      "summary_strip"
+    ],
+    "accepted_shapes": [
+      "district_affinity",
+      "lead_preferences",
+      "lead_profile",
+      "lead_summary",
+      "persona_cluster"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "crm",
+    "primary_tables": [
+      "leads",
+      "sentinel_scores"
+    ]
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-02",
+    "subchapter_name": "QD Score",
+    "component_types": [
+      "bar_chart",
+      "gauge_stack",
+      "line_chart",
+      "matrix_grid",
+      "metric_card_group"
+    ],
+    "accepted_shapes": [
+      "qd_matrix",
+      "qd_peer_benchmark",
+      "qd_score_breakdown",
+      "qd_snapshot",
+      "qd_trend"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "crm",
+    "primary_tables": [
+      "leads",
+      "sentinel_scores"
+    ]
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-03",
+    "subchapter_name": "Pipeline Health",
+    "component_types": [
+      "data_table",
+      "funnel_chart",
+      "heatmap",
+      "metric_card_group",
+      "stacked_bar_chart"
+    ],
+    "accepted_shapes": [
+      "pipeline_distribution",
+      "pipeline_forecast",
+      "pipeline_probability_matrix",
+      "pipeline_stalls",
+      "pipeline_velocity"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "crm",
+    "primary_tables": [
+      "leads",
+      "sentinel_scores"
+    ]
+  },
+  {
+    "chapter_id": "ch-002",
+    "chapter_name": "Lead Intelligence",
+    "subchapter_id": "sub-002-04",
+    "subchapter_name": "Engagement History",
+    "component_types": [
+      "data_table",
+      "heatmap",
+      "interaction_timeline",
+      "line_chart",
+      "metric_card_group"
+    ],
+    "accepted_shapes": [
+      "channel_preference_trend",
+      "content_interaction_log",
+      "engagement_heatmap",
+      "engagement_snapshot",
+      "engagement_timeline"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "crm",
+    "primary_tables": [
+      "leads",
+      "sentinel_scores"
+    ]
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-01",
+    "subchapter_name": "Call Summary",
+    "component_types": [
+      "communication_summary",
+      "data_table",
+      "metric_card_group",
+      "next_best_action_card",
+      "transcript_highlight_card"
+    ],
+    "accepted_shapes": [
+      "call_follow_up_snapshot",
+      "call_outcome_snapshot",
+      "speaker_highlights",
+      "transcript_segments",
+      "transcript_summary"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "provider_provenance_required",
+      "supported_channel_only"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "edge_communication_events",
+      "edge_communication_memory_facts",
+      "edge_transcription_jobs",
+      "edge_transcript_segments"
+    ]
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-02",
+    "subchapter_name": "Promise Tracker",
+    "component_types": [
+      "checklist_board",
+      "compact_alert_card",
+      "data_table",
+      "matrix_grid",
+      "summary_card"
+    ],
+    "accepted_shapes": [
+      "communication_facts",
+      "decision_maker_summary",
+      "follow_up_checklist",
+      "overdue_commitments",
+      "promise_confidence_matrix"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "reviewable_writebacks",
+      "communication_memory"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "edge_communication_events",
+      "edge_communication_memory_facts",
+      "edge_transcription_jobs",
+      "edge_transcript_segments"
+    ]
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-03",
+    "subchapter_name": "WhatsApp Thread",
+    "component_types": [
+      "data_table",
+      "line_chart",
+      "message_thread_summary",
+      "metric_card_group",
+      "summary_card"
+    ],
+    "accepted_shapes": [
+      "message_action_queue",
+      "message_sentiment_timeline",
+      "operator_handover",
+      "thread_sla_snapshot",
+      "whatsapp_thread"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "supported_channel_only",
+      "business_whatsapp_scope"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "edge_communication_events",
+      "edge_communication_memory_facts",
+      "edge_transcription_jobs",
+      "edge_transcript_segments"
+    ]
+  },
+  {
+    "chapter_id": "ch-003",
+    "chapter_name": "Communication Intelligence",
+    "subchapter_id": "sub-003-04",
+    "subchapter_name": "Reminder Surface",
+    "component_types": [
+      "action_strip",
+      "alert_queue",
+      "compact_alert_card",
+      "matrix_grid",
+      "next_best_action_card"
+    ],
+    "accepted_shapes": [
+      "calendar_suggestion",
+      "insight_recommendation",
+      "next_best_action",
+      "recommendation_confidence",
+      "reminder_queue"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "bounded_actions",
+      "nemoclaw_suggested"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "edge_communication_events",
+      "edge_communication_memory_facts",
+      "edge_transcription_jobs",
+      "edge_transcript_segments"
+    ]
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-01",
+    "subchapter_name": "Property Card",
+    "component_types": [
+      "bar_chart",
+      "cta_card",
+      "metric_card_group",
+      "property_card",
+      "summary_card"
+    ],
+    "accepted_shapes": [
+      "inventory_property",
+      "property_cta",
+      "property_media_summary",
+      "property_pricing_snapshot",
+      "unit_mix_distribution"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "inventory",
+    "primary_tables": [
+      "inventory_properties",
+      "inventory_media_assets",
+      "inventory_import_batches"
+    ]
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-02",
+    "subchapter_name": "Availability Matrix",
+    "component_types": [
+      "data_table",
+      "heatmap",
+      "matrix_grid",
+      "metric_card_group",
+      "stacked_bar_chart"
+    ],
+    "accepted_shapes": [
+      "availability_heatmap",
+      "availability_matrix",
+      "bed_type_snapshot",
+      "price_band_grid",
+      "release_phase_distribution"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "inventory",
+    "primary_tables": [
+      "inventory_properties",
+      "inventory_media_assets",
+      "inventory_import_batches"
+    ]
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-03",
+    "subchapter_name": "Absorption Rate",
+    "component_types": [
+      "bar_chart",
+      "dual_axis_chart",
+      "line_chart",
+      "matrix_grid",
+      "sparkline_metric"
+    ],
+    "accepted_shapes": [
+      "developer_velocity_ranking",
+      "handover_absorption_matrix",
+      "rolling_velocity_snapshot",
+      "sales_velocity",
+      "velocity_supply_overlay"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "inventory",
+    "primary_tables": [
+      "inventory_properties",
+      "inventory_media_assets",
+      "inventory_import_batches"
+    ]
+  },
+  {
+    "chapter_id": "ch-004",
+    "chapter_name": "Inventory Analytics",
+    "subchapter_id": "sub-004-04",
+    "subchapter_name": "Inventory Comparison",
+    "component_types": [
+      "comparison_table",
+      "metric_card_group",
+      "radar_chart",
+      "side_by_side_comparison",
+      "summary_strip"
+    ],
+    "accepted_shapes": [
+      "amenity_comparison",
+      "inventory_comparison",
+      "operator_choice_summary",
+      "property_metric_comparison",
+      "sales_readiness_comparison"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "inventory",
+    "primary_tables": [
+      "inventory_properties",
+      "inventory_media_assets",
+      "inventory_import_batches"
+    ]
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-01",
+    "subchapter_name": "Showroom Traffic",
+    "component_types": [
+      "bar_chart",
+      "dual_axis_chart",
+      "heatmap",
+      "metric_card_group",
+      "summary_strip"
+    ],
+    "accepted_shapes": [
+      "live_traffic_snapshot",
+      "peak_hour_distribution",
+      "visitor_flow_overlay",
+      "zone_summary",
+      "zone_time_matrix"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "admin-surface",
+    "primary_tables": [
+      "surface_sessions",
+      "admin_action_events",
+      "oracle_synthetic_generation_jobs",
+      "inventory_import_batches",
+      "edge_transcription_jobs"
+    ]
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-02",
+    "subchapter_name": "Team Performance",
+    "component_types": [
+      "compact_alert_card",
+      "dual_axis_chart",
+      "leaderboard_table",
+      "matrix_grid",
+      "metric_card_group"
+    ],
+    "accepted_shapes": [
+      "activity_conversion_overlay",
+      "agent_leaderboard",
+      "follow_up_compliance_matrix",
+      "quality_drift_alert",
+      "team_performance_snapshot"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "admin-surface",
+    "primary_tables": [
+      "surface_sessions",
+      "admin_action_events",
+      "oracle_synthetic_generation_jobs",
+      "inventory_import_batches",
+      "edge_transcription_jobs"
+    ]
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-03",
+    "subchapter_name": "Campaign Metrics",
+    "component_types": [
+      "bar_chart",
+      "line_chart",
+      "metric_card_group",
+      "scatter_plot",
+      "summary_card"
+    ],
+    "accepted_shapes": [
+      "campaign_attribution",
+      "campaign_efficiency",
+      "campaign_roas_trend",
+      "campaign_snapshot",
+      "channel_comparison"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe"
+    ],
+    "route_family": "admin-surface",
+    "primary_tables": [
+      "campaign_metrics",
+      "lead_events"
+    ]
+  },
+  {
+    "chapter_id": "ch-005",
+    "chapter_name": "Operational Metrics",
+    "subchapter_id": "sub-005-04",
+    "subchapter_name": "System Health",
+    "component_types": [
+      "action_panel",
+      "data_table",
+      "line_chart",
+      "metric_card_group",
+      "system_health_panel"
+    ],
+    "accepted_shapes": [
+      "bounded_admin_actions",
+      "latency_time_series",
+      "queue_status",
+      "surface_session_snapshot",
+      "system_health_snapshot"
+    ],
+    "surface_targets": [
+      "webos"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "bounded_admin_actions",
+      "audit_ready"
+    ],
+    "route_family": "admin-surface",
+    "primary_tables": [
+      "admin_action_events",
+      "oracle_synthetic_generation_jobs",
+      "inventory_import_batches",
+      "edge_transcription_jobs",
+      "surface_sessions"
+    ]
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-01",
+    "subchapter_name": "Calendar View",
+    "component_types": [
+      "calendar_agenda",
+      "calendar_heatmap",
+      "data_table",
+      "donut_chart",
+      "summary_strip"
+    ],
+    "accepted_shapes": [
+      "calendar_density",
+      "calendar_mix",
+      "calendar_strip",
+      "calendar_suggestions",
+      "user_calendar_agenda"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "user_calendar_scope",
+      "confirmation_required_for_writeback"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "user_calendar_events",
+      "insight_recommendations",
+      "edge_communication_events"
+    ]
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-02",
+    "subchapter_name": "Action Queue",
+    "component_types": [
+      "action_strip",
+      "bar_chart",
+      "donut_chart",
+      "matrix_grid",
+      "prioritized_task_list"
+    ],
+    "accepted_shapes": [
+      "action_status_mix",
+      "action_type_distribution",
+      "agent_action_queue",
+      "edge_action_strip",
+      "queue_urgency_matrix"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "bounded_actions",
+      "operator_queue"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "user_calendar_events",
+      "insight_recommendations",
+      "edge_communication_events"
+    ]
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-03",
+    "subchapter_name": "Follow-Up Plan",
+    "component_types": [
+      "compact_alert_card",
+      "data_table",
+      "structured_plan_card",
+      "summary_card",
+      "timeline_chart"
+    ],
+    "accepted_shapes": [
+      "escalation_plan",
+      "follow_up_cadence",
+      "follow_up_edge_card",
+      "follow_up_plan",
+      "follow_up_timeline"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "nemoclaw_suggested",
+      "confirmation_required_for_writeback"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "user_calendar_events",
+      "insight_recommendations",
+      "edge_communication_events"
+    ]
+  },
+  {
+    "chapter_id": "ch-006",
+    "chapter_name": "Calendar and Follow-Up",
+    "subchapter_id": "sub-006-04",
+    "subchapter_name": "Reminder Cards",
+    "component_types": [
+      "compact_alert_card",
+      "kanban_board",
+      "matrix_grid",
+      "stacked_reminder_cards",
+      "summary_strip"
+    ],
+    "accepted_shapes": [
+      "insight_recommendation",
+      "reminder_priority_matrix",
+      "reminder_snooze_board",
+      "reminder_stack",
+      "reminder_strip"
+    ],
+    "surface_targets": [
+      "webos",
+      "ipad",
+      "android_tablet",
+      "iphone_edge",
+      "android_phone_edge"
+    ],
+    "policy_tags": [
+      "backend_owned",
+      "live_data_first",
+      "no_mock_fallback",
+      "surface_safe",
+      "bounded_actions",
+      "surface_agnostic"
+    ],
+    "route_family": "mobile-edge",
+    "primary_tables": [
+      "user_calendar_events",
+      "insight_recommendations",
+      "edge_communication_events"
+    ]
+  }
+]

.Agent Context/Sprint 1/Sayan Multi-Surface and Oracle Delivery Pack/Sample JSON Schema/GPT 5.4/oracle_canvas_json_expansion_pack/manifests/validation_report.json

@@ -0,0 +1,38 @@
+{
+  "status": "ok",
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+    "unique_example_ids": 1200,
+    "subchapters_with_50_examples": true,
+    "chapters": 6,
+    "subchapters": 24,
+    "source_seed_examples_reported": 36,
+    "source_seed_examples_actual": 8
+  },
+  "per_subchapter": {
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+  }
+}