docs: LandveX Intelligence Lab v1.1 — Architecture + Pipelines + Immutability

- Added architecture diagram:
  - Developer UI / Training API / Experiment API
  - Event Bus / Queue
  - Storage Layer (S3/R2 + PostgreSQL + Neo4j)
  - Processing Pipelines

- Seven separate pipelines (not one big AI loop):
  1. Ingestion — raw images/video/GPS/EXIF → Raw Dataset
  2. Dataset — sort, deduplicate, quality control → Validated Dataset
  3. Annotation — AI suggestions, manual correction → Verified Dataset
  4. Training — hyperparameters, checkpoints, GPU → Model Artifact
  5. Evaluation — precision, recall, F1, decision accuracy → Report
  6. Replay — compare model versions → Regression Report
  7. Decision Validation — full chain → Validation Report

- Bucket structure: raw-images, raw-video, missions, datasets,
  annotations, training, models, replays, evaluation,
  decision-cases, field-trials, exports, archives

- AI Job Queue: all jobs asynchronous (Upload → Queue → Worker → GPU → Storage → Notification)

- Core principles updated:
  - All artifacts immutable and versioned
  - Every change traceable to experiment, model, dataset, decision

- Dashboard shows: Datasets (Healthy/Needs Review/Corrupted),
  Training Jobs, Decision Cases, Replay Jobs

- Decision Cases emphasized as most important asset

Rationale: Separate pipelines make system easier to debug, improve,
and swap components. Immutability aligns with E-001 Git/traceability
principles. Decision Cases become the unique asset over time.

docs/design/LANDVEX_INTELLIGENCE_LAB.md

@@ -10,12 +10,22 @@
 
 ---
 
-## Core Principle
+## Core Principles
 
 **LandveX Intelligence Lab does not produce AI models. It produces verified Control Intelligence.**
 
 This is an internal tool. Never a customer product.
 
+**All artifacts are immutable and versioned.**
+- Raw images are never modified
+- Annotations are versioned
+- Models are versioned
+- Evaluation reports are versioned
+- Decision Cases are versioned
+- Replay results are saved as new artifacts
+
+**Every change must be traceable to a specific experiment, model version, dataset, and decision.**
+
 ---
 
 ## Repository
@@ -31,6 +41,28 @@ Separate from:
 
 ---
 
+## Architecture
+
+```
+LandveX Intelligence Lab
+│
+┌─────────────────┼─────────────────┐
+│                 │                 │
+Developer UI    Training API    Experiment API
+│                 │                 │
+└─────────────────┴─────────────────┘
+│
+Event Bus / Queue
+│
+─────────────────────────────────────────────────────
+Storage Layer
+Images │ Videos │ Missions │ Models │ Logs
+S3/R2 Buckets + PostgreSQL + Neo4j
+─────────────────────────────────────────────────────
+│
+Processing Pipelines
+```
+
 ## Navigation
 
 ```
@@ -43,7 +75,7 @@ Dashboard
 ├── Decision Cases
 ├── Replay
 ├── Validation
-├── Deploy (Promote Model)
+├── Promote Model
 └── Settings
 ```
 
@@ -55,26 +87,26 @@ Shows AI status, not business data.
 
 ```
 ┌─────────────────────────────────────┐
-│ Models                              │
-│ Detection v12                       │
-│ Segmentation v5                     │
-│ OCR v3                              │
-│ Decision Model v1.0                 │
-├─────────────────────────────────────┤
 │ Datasets                            │
-│ Roads, Buildings, Signs             │
+│ Healthy: 12                         │
-│ Vegetation, Drainage                │
+│ Needs Review: 3                     │
+│ Corrupted: 0                        │
 ├─────────────────────────────────────┤
 │ Training Jobs                       │
 │ Running: 2                          │
 │ Queued: 1                           │
-│ Failed: 0                           │
 │ Completed: 47                       │
+│ Failed: 0                           │
 ├─────────────────────────────────────┤
 │ Decision Cases                      │
 │ Validated: 23                       │
 │ Pending: 5                          │
 │ Rejected: 2                         │
+├─────────────────────────────────────┤
+│ Replay Jobs                         │
+│ Ready: 8                            │
+│ Running: 1                          │
+│ Finished: 34                        │
 └─────────────────────────────────────┘
 ```
 
@@ -108,9 +140,19 @@ Video → Frame → Bounding boxes → Detected objects → Evidence → Finding
 
 ---
 
-## Decision Case
+## Decision Cases
 
-First-class objects:
+**The most important asset.**
+
+Not images. Not videos. Not AI models.
+
+But:
+```
+Observation → Evidence → Finding → Decision → Outcome → Learning
+```
+
+After a few years, hundreds of thousands of verified Decision Cases.
+Not just a training dataset — a library of how real observations lead to real decisions and real outcomes.
 
 ```
 Case #4232
@@ -169,7 +211,7 @@ Regression Tests
 
 ---
 
-## Deploy (Promote Model)
+## Promote Model (Not Deploy)
 
 ```
 Development → Validation → Pilot → Production
@@ -195,6 +237,91 @@ Link experiment protocol to real development and validation data.
 
 ---
 
+## Processing Pipelines
+
+### 1. Ingestion Pipeline
+
+**Input:** Images, video, GPS, EXIF, metadata
+**Checks:** Checksums, versioning
+**Output:** Raw Dataset
+
+### 2. Dataset Pipeline
+
+**Input:** Raw Dataset
+**Checks:** Sort, deduplicate, quality control, resolution, blur detection, GPS validation
+**Output:** Validated Dataset
+
+### 3. Annotation Pipeline
+
+**Input:** Validated Dataset
+**Process:** AI suggestions, manual correction, label versions, consensus
+**Output:** Verified Dataset
+
+### 4. Training Pipeline
+
+**Input:** Verified Dataset
+**Process:** Start training, hyperparameters, checkpoints, GPU jobs
+**Output:** Model Artifact
+
+### 5. Evaluation Pipeline
+
+**Input:** Model Artifact
+**Metrics:** Precision, recall, F1, decision accuracy, regression
+**Output:** Evaluation Report
+
+### 6. Replay Pipeline
+
+**Input:** Old missions, Model v14, Model v15
+**Process:** Run both models, compare differences
+**Output:** Regression Report
+
+### 7. Decision Validation Pipeline
+
+**Input:** Observation
+**Process:** Full chain — Observation → Evidence → Finding → Decision → Business Impact
+**Output:** Decision Validation Report
+
+---
+
+## Bucket Structure
+
+```
+raw-images/
+raw-video/
+missions/
+datasets/
+annotations/
+training/
+models/
+replays/
+evaluation/
+decision-cases/
+field-trials/
+exports/
+archives/
+```
+
+All content is versioned:
+```
+model-v14/
+model-v15/
+model-v16/
+```
+
+---
+
+## AI Job Queue
+
+All jobs are asynchronous:
+
+```
+Upload → Queue → Worker → GPU → Storage → Notification
+```
+
+Not synchronous API calls.
+
+---
+
 ## What This Tool Collects
 
 - Model training