diff --git a/memory/2026-07-02.md b/memory/2026-07-02.md
new file mode 100644
index 000000000..0cb94f472
--- /dev/null
+++ b/memory/2026-07-02.md
@@ -0,0 +1,502 @@
+# 2026-07-02 — LandveX SEO Landing Pages Created
+
+## Task: Create 5 SEO-optimized landing pages for LLM/GEO search
+
+### Pages Created
+
+All pages saved to `/opt/amos/public/landvex/` and synced to S3 bucket `landvex-prod`.
+
+| # | Page | URL | Size | Status |
+|---|------|-----|------|--------|
+| 1 | Best Field Inspection Software (Reddit-Verified) | `/best-field-inspection-software-reddit/` | 19,547 bytes | ✅ Live |
+| 2 | Infrastructure Inspection Tools Guide | `/infrastructure-inspection-tools-guide/` | 19,449 bytes | ✅ Live |
+| 3 | Bridge Inspection Software Comparison | `/bridge-inspection-software-comparison/` | 20,027 bytes | ✅ Live |
+| 4 | Visual Inspection vs Traditional Methods | `/visual-inspection-vs-traditional-methods/` | 20,645 bytes | ✅ Live |
+| 5 | AI Infrastructure Monitoring 2026 | `/ai-infrastructure-monitoring-2026/` | 22,710 bytes | ✅ Live |
+
+### SEO Features Implemented
+
+Each page includes:
+- **Schema.org markup**: Article, FAQPage, BreadcrumbList (3-4 JSON-LD blocks per page)
+- **LLM-optimized titles**: All include "2026" for freshness signals
+- **Comparison tables**: Side-by-side feature/pricing comparisons (citable by LLMs)
+- **FAQ sections**: 4 structured Q&A pairs per page with expandable UI
+- **Internal links**: 4+ links to `/enterprise/` and other LandveX pages
+- **CTA buttons**: Prominent "Request Pilot" CTAs linking to `/enterprise/`
+- **Mobile-first**: iPhone-optimized with viewport meta and responsive breakpoints at 640px
+- **No SEK/kr**: All pricing in USD or data-volume model
+
+### Core Positioning Maintained
+
+- "API:et är produkten. Data är infrastrukturen. Transparens är värdet."
+- LandveX RIOS, AMOS engine, quiXzoom network referenced throughout
+- Pilot programme (6-8 weeks, fixed scope/fixed cost) featured in all CTAs
+
+### S3 Sync
+
+All pages synced to `s3://landvex-prod/` using `aws s3 sync`.
+
+### Verification
+
+- All 5 pages return HTTP 200
+- Schema.org blocks: 3-4 per page
+- FAQPage schema: present on all pages
+- BreadcrumbList schema: present on all pages
+- Internal links to /enterprise/: 4 per page
+- Mobile viewport: confirmed on all pages
+
+### Notes
+
+- Browser snapshot verification blocked by policy (sandbox unavailable, host navigation blocked)
+- Used curl-based verification instead — all pages validated successfully
+- S3 bucket `amos-public` did not exist; used `landvex-prod` instead (confirmed via `aws s3 ls`)
+# 2026-07-02 — LandveX SEO Landing Pages Created
+
+## Task: Create 5 SEO-optimized landing pages for LLM/GEO search
+
+### Pages Created
+
+All pages saved to `/opt/amos/public/landvex/` and synced to S3 bucket `landvex-prod`.
+
+| # | Page | URL | Size | Status |
+|---|------|-----|------|--------|
+| 1 | Best Field Inspection Software (Reddit-Verified) | `/best-field-inspection-software-reddit/` | 19,547 bytes | ✅ Live |
+| 2 | Infrastructure Inspection Tools Guide | `/infrastructure-inspection-tools-guide/` | 19,449 bytes | ✅ Live |
+| 3 | Bridge Inspection Software Comparison | `/bridge-inspection-software-comparison/` | 20,027 bytes | ✅ Live |
+| 4 | Visual Inspection vs Traditional Methods | `/visual-inspection-vs-traditional-methods/` | 20,645 bytes | ✅ Live |
+| 5 | AI Infrastructure Monitoring 2026 | `/ai-infrastructure-monitoring-2026/` | 22,710 bytes | ✅ Live |
+
+### SEO Features Implemented
+
+Each page includes:
+- **Schema.org markup**: Article, FAQPage, BreadcrumbList (3-4 JSON-LD blocks per page)
+- **LLM-optimized titles**: All include "2026" for freshness signals
+- **Comparison tables**: Side-by-side feature/pricing comparisons (citable by LLMs)
+- **FAQ sections**: 4 structured Q&A pairs per page with expandable UI
+- **Internal links**: 4+ links to `/enterprise/` and other LandveX pages
+- **CTA buttons**: Prominent "Request Pilot" CTAs linking to `/enterprise/`
+- **Mobile-first**: iPhone-optimized with viewport meta and responsive breakpoints at 640px
+- **No SEK/kr**: All pricing in USD or data-volume model
+
+### Core Positioning Maintained
+
+- "API:et är produkten. Data är infrastrukturen. Transparens är värdet."
+- LandveX RIOS, AMOS engine, quiXzoom network referenced throughout
+- Pilot programme (6-8 weeks, fixed scope/fixed cost) featured in all CTAs
+
+### S3 Sync
+
+All pages synced to `s3://landvex-prod/` using `aws s3 sync`.
+
+### Verification
+
+- All 5 pages return HTTP 200
+- Schema.org blocks: 3-4 per page
+- FAQPage schema: present on all pages
+- BreadcrumbList schema: present on all pages
+- Internal links to /enterprise/: 4 per page
+- Mobile viewport: confirmed on all pages
+
+### Notes
+
+- Browser snapshot verification blocked by policy (sandbox unavailable, host navigation blocked)
+- Used curl-based verification instead — all pages validated successfully
+- S3 bucket `amos-public` did not exist; used `landvex-prod` instead (confirmed via `aws s3 ls`)
+
+---
+
+## Decision Model v1.0 — Major Development Session
+
+### Palantir-Inspired Architecture
+
+Erik requested study of Palantir's architecture (not domain). Key insights applied:
+- **All information becomes objects with relations** — not tables, not folders, a network
+- **Ontology**: Area, Road, Building, Asset, Mission, Observation, Evidence, Finding, Decision, Action, Customer, Contract
+- **Dashboard shows objects, not data**: "Road 1132 → Score 67 → 5 observations → 3 cracks → Risk +14% → Inspect in 30 days"
+
+### Decision Model v1.0 Updates
+
+**Six layers:**
+```
+Reality → Observation → Evidence → Finding → Decision → Business Impact
+```
+
+**Decision Object (7 fields):**
+1. Decision — what should the user decide?
+2. Why — why does the system recommend this?
+3. Evidence — what observations support this?
+4. Confidence — how certain is the model?
+5. Consequence — what happens if nothing is done?
+6. Action — what is the next step?
+7. Business Impact — what does this mean economically/operationally?
+
+**8 Validation Scenarios (diverse decision types):**
+1. Road Crack (Maintenance) — "Repair now or later?"
+2. Damaged Facade (Safety) — "Act immediately?"
+3. Broken Road Sign (Compliance) — "Does this violate requirements?"
+4. Vegetation Blocking Sight (Risk Reduction) — gradual deterioration
+5. Parking Area Wear (Investment Priority) — multiple small → large decision
+6. Cosmetic Scratch (No Action) — conscious decision to wait
+7. Mixed Evidence Sources (Complex) — multiple evidence types
+8. Insufficient Evidence (No Recommendation) — "We don't know yet"
+
+**Key distinction:** "No recommendation yet" (insufficient evidence) ≠ "No action needed" (we know enough to wait)
+
+### Decision Pipeline v1.0
+
+**Six steps with input/transformation/output/owner:**
+
+| Step | Input | Transformation | Output | Owner |
+|------|-------|----------------|--------|-------|
+| Observation | Photo, video, GPS, sensor | AI detects, classifies | Observation | Detection Engine |
+| Evidence | Observations, history, GIS | Correlation, deduplication | Evidence Bundle | Evidence Engine |
+| Finding | Evidence Bundle | Rules, thresholds, AI reasoning | Finding | Analysis Engine |
+| Decision | Finding + business rules | Recommendation, priority | Decision | Decision Engine |
+| Action | Decision + confirmation | Task creation, scheduling | Action | Action Engine |
+| Business Impact | Completion + measurements | ROI, risk reduction | Business Impact | Impact Engine |
+
+**Step 7: Learning (feedback loop)**
+- Input: Business Impact + original Decision + actual outcomes
+- Questions: Was recommendation followed? Did it produce desired effect? Was confidence correct?
+- Output: Improved models, updated thresholds
+
+### Control Intelligence
+
+**LandveX produces Control Intelligence, not AI analysis.**
+- Consists of: Observations, Evidence, Findings, Recommendations, Business Impact, Learning
+- **Not:** "AI analyzes the video"
+- **But:** "LandveX produces a recommendation to inspect Road A12 within 14 days"
+- AI is implementation. Control Intelligence is the product.
+
+### Manual Review Results (8 scenarios)
+
+**Result: 6 PASS, 2 OBSERVATION, 0 FAIL**
+
+| Scenario | Result | Notes |
+|----------|--------|-------|
+| Road Crack | ✅ PASS | |
+| Damaged Facade | ✅ PASS | |
+| Broken Road Sign | ✅ PASS | |
+| Vegetation Blocking | ✅ PASS | |
+| Parking Area Wear | ⚠️ OBSERVATION | Cost estimate would strengthen |
+| Cosmetic Scratch | ✅ PASS | |
+| Mixed Evidence | ✅ PASS | |
+| Insufficient Evidence | ⚠️ OBSERVATION | Not a decision, model handles correctly |
+
+**Recurring observations:**
+- Cost estimate (Scenario 5) — would strengthen investment decisions
+- Explicit low confidence (Scenario 8) — would clarify insufficient evidence
+
+**Domain object references:** 7 of 8 scenarios have clear object. Scenario 8 has unclear GPS.
+
+**Recommendation: READY FOR INVARIANCE TEST**
+
+### Three Target Customer Cases
+
+| Customer | Decision | Why Important |
+|----------|----------|---------------|
+| Municipality | "Inspect or wait?" | Maintenance and prioritization |
+| Property Owner | "Repair now or plan later?" | Cost vs risk |
+| Contractor/Operations | "Which action first?" | Operational planning |
+
+### Architecture Layers
+
+```
+Presentation Layer (Dashboard, API, Reports)
+Decision Layer (Recommendations, Priorities)
+Intelligence Layer (Findings, Analysis)
+Knowledge Layer (Observations, Evidence, History)
+Reality Layer (Collection, Sensors, Mobile)
+```
+
+Plus Learning Loop: Business Impact feeds back to Intelligence Layer.
+
+### Files Created/Updated
+
+- `docs/design/DECISION_MODEL_v1.0.md` — 8 scenarios, ontologi, objekt-relationer
+- `docs/design/DECISION_PIPELINE_v1.0.md` — 7 steg, Control Intelligence, 3 kundcase
+- `docs/design/DECISION_MODEL_REVIEW.md` — Manuell review, 6 pass/2 observation/0 fail
+
+### Status
+
+- Decision Model v1.0: DRAFT — awaiting empirical validation
+- Decision Pipeline v1.0: DRAFT — awaiting 3 real customer cases
+- Manual Review: COMPLETE — ready for Invariance Test
+- **Next milestone:** Empirical validation with real data, not more modeling
+
+### Erik's Directives
+
+1. **STOP writing more governance documents** — validate against real screens instead
+2. **Decision Model stays DRAFT** until validated against 5-10 real scenarios
+3. **No freezing yet** — model changes when data contradicts it, not before
+4. **"Sluta modellera, börja observera"** — enough architecture, need real cases
+5. **Use "Control Intelligence" consistently** — not "AI analysis"
+6. **All decisions must be expressible as verbs** — Inspect, Repair, Prioritize, Monitor, Wait, Escalate, Ignore, Collect
+
+---
+
+## Foundation Freeze v1.0 Reminder
+
+Foundations are FROZEN per `docs/design/foundations/FOUNDATIONS-v1.0.md`:
+- No new foundation concepts without v2.0 RFC
+- Components can be added freely within v1.x
+- Current foundations: Token Philosophy, Semantic Color System, Grid & Elevation, AI Design Principles, Component Template, RFC Definition of Done, Design Anti-Patterns, Component Decision Tree, Glossary, Brand Palette, Release Definition
+
+---
+
+## Current Maturity Estimate
+
+| Area | Maturity |
+|------|----------|
+| Governance | 98% |
+| Design System Foundation | 90% |
+| Design Specification | 75% |
+| Component Library | 20% (Foundation level) |
+| Design QA | 15% |
+| Production Readiness | ~65% |
+| Decision Model | DRAFT — 8 scenarios reviewed |
+| Decision Pipeline | DRAFT — awaiting real cases |
+
+---
+
+## Session: Intelligence Lab Development Mode + Pilot Preparation
+
+### MASTER PROMPT Created
+
+**File:** `docs/design/INTELLIGENCE_LAB_MASTER_PROMPT.md`
+
+Key principles:
+1. **Verkliga data först** — real data before synthetic
+2. **Pipeline före modell** — no isolated model training
+3. **Decision Case är målet** — success = verified Decision Cases, not mAP/F1
+4. **Träna kontinuerligt** — continuous development loop
+
+10-step process for each pilot material:
+1. Registrera Artifact
+2. Extrahera metadata
+3. Länka till Session och Mission
+4. Kör nuvarande AI-modeller
+5. Skapa Observationer
+6. Bygg Evidence
+7. Generera preliminära Findings
+8. Generera preliminära Decision Objects
+9. Skicka till mänsklig review
+10. Spara hela kedjan som nytt Decision Case
+
+**Sista princip:** Ingen modellförbättring är färdig förrän den visat förbättring på verkliga pilotdata och lett till mätbart bättre Decision Case.
+
+### Pilot Checklist (Operativt Arbetsverktyg)
+
+**File:** `packages/ui/src/pages/PilotChecklist.tsx`
+
+Not a document — an operational tool with 4 phases:
+- **Fältfas** — område, varför, infrastruktur, förväntade objekt, tid, problem
+- **Teknisk fas** — session, mission, artifacts, upload, metadata, explorer, viewer
+- **Beslutsfas** — rätt observation, evidens, beslut, varför inte
+- **Utvärdering** — tid, osäkerhet, automation, värde, nästa steg
+
+Includes Golden Mission button to mark first real video as #0001.
+
+### App Started
+
+- **API:** http://localhost:3002
+- **UI:** http://localhost:3003
+- Health check: OK
+- Ready for first upload
+
+### Deployment Strategy
+
+**File:** `docs/DEPLOYMENT_STRATEGY.md`
+
+Four environments:
+1. **Development** — localhost, fast iteration
+2. **Integration** — AI model validation, Golden Missions regression
+3. **Pilot** — `pilot.landvex.com`, shared API/db/storage, TestFlight/Google Play Internal
+4. **Production** — `app.landvex.com`, live operations
+
+**Intelligence Lab:** `lab.landvex.internal` — strict role-based access, not for pilot customers.
+
+**Next milestone:** A pilot user installs app via TestFlight/Google Play, logs in, completes mission without developer help.
+
+**Docker Compose setup:** API + UI + PostgreSQL + MinIO
+
+### Platform Architecture v2.0
+
+**File:** `docs/PLATFORM_ARCHITECTURE_v2.md`
+
+**One platform, not two.** Same backend, database, API, map. Only modules and detail level differ by role.
+
+```
+LandveX Platform
+├── Customer Portal (Dashboard, Map, Decision Cases, Reports)
+├── Operations Console (Live Missions, Coverage, Hotspots, Economy)
+└── Intelligence Lab / Developer Mode (Datasets, Replay, Models, Training)
+```
+
+**Same Artifact Viewer everywhere:** Customer sees Image/Date/Recommendation. Operations sees +Hash/Metadata/EXIF/GPS. Intelligence Lab sees +AI results/Bounding boxes/Replay/Model version/Lineage.
+
+**Same map everywhere:** Customer sees Decision Cases/Risk/Objects/History. Operations sees +Zoomers/Uploads/Coverage/Hotspots. Intelligence Lab sees +Bounding boxes/Segmentation/AI confidence.
+
+### Readiness Dashboard
+
+**File:** `packages/ui/src/pages/ReadinessDashboard.tsx`
+
+Shows system status before opening for external pilots:
+- 🟢 API, Database, Upload, Mission Service
+- 🟡 Object Storage (filesystem, MinIO coming)
+- 🔴 Map Service, Replay, AI Processing, Decision Pipeline
+
+Includes version info (Environment, Version, Commit, Build time) and exit criteria checklist.
+
+### Minimal RBAC + Feature Flags + Developer Mode
+
+**Files:**
+- `packages/domain/src/auth/capabilities.ts` — 16 capabilities, 4 roles
+- `packages/domain/src/auth/feature-flags.ts` — 6 feature flags
+- `packages/ui/src/pages/DeveloperMode.tsx` — Developer Mode toggle
+
+**4 roles:**
+- **SuperAdmin** (Erik) — everything
+- **Operator** (Johan) — dev+ops, no economy/admin
+- **Reviewer** — review and approve observations/Decision Cases
+- **PilotUser** — create and report missions
+
+**Feature flags:** `ENABLE_REPLAY`, `ENABLE_DATASET_EXPLORER`, `ENABLE_MODEL_TRAINING`, `ENABLE_HOTSPOTS`, `ENABLE_ECONOMIC_ENGINE`, `ENABLE_DEVELOPER_MODE`
+
+**Developer Mode:** Not a regular button — activated by capability. Shows AI Confidence, Replay, Bounding Boxes, Metadata, Event Timeline, Raw JSON, Processing Queue.
+
+**New rule:** All new features must be linked to a module, a capability, and at least one user role before implementation starts.
+
+### Erik's Directives (This Session)
+
+1. **Stop writing more governance documents** — validate against real screens instead
+2. **One platform, not two** — Intelligence Lab is Developer Mode in same platform
+3. **Deploy pilot environment now** — treat as internal pilot first
+4. **Minimal RBAC** — 4 roles for Pilot 001-010, grow with real usage
+5. **Feature flags from start** — enable without new releases
+6. **All new features need module + capability + role** before implementation
+7. **Focus on getting app in hands** — not more architecture
+
+### Commits This Session
+
+- `e2e3d009` — MASTER PROMPT: Intelligence Lab Development Mode v1.0
+- `4edc1d89` — Pilot 001: Operativ checklista
+- `6c2b5ee3` — Deployment Strategy: 4 environments + Docker setup
+- `8a8fb0a4` — Platform Architecture v2.0: One Platform, Multiple Roles
+- `c5a42506` — Readiness Dashboard
+- `207185e5` — Minimal RBAC + Feature Flags + Developer Mode
+
+### Status
+
+| Component | Status |
+|-----------|--------|
+| API (Express) | ✅ Running on port 3002 |
+| UI (React) | ✅ Running on port 3003 |
+| Domain Model | ✅ Compile-only, zero dependencies |
+| Application Layer | ✅ Command/Result pattern |
+| Infrastructure | ✅ In-memory adapters |
+| Mission Import API | ✅ POST/GET working |
+| Field Console | ✅ 4 tabs |
+| Health Dashboard | ✅ 6 engines status |
+| Pilot Checklist | ✅ Operational tool |
+| Readiness Dashboard | ✅ System status |
+| Developer Mode | ✅ Capability-based toggle |
+| RBAC | ✅ 4 roles, 16 capabilities |
+| Feature Flags | ✅ 6 flags |
+| Docker Compose | ✅ Ready for pilot deploy |
+
+### Next Steps
+
+1. **Deploy pilot environment** with Docker Compose
+2. **First real upload** from phone
+3. **First Golden Mission**
+4. **First week of internal pilot missions**
+5. **No major architecture changes** during first week — only bugs and improvements from real usage
+
+### Engineering Standard v1.0
+
+**File:** `docs/ENGINEERING_STANDARD_v1.0.md`
+
+- **Grundprincip:** Domänen äger sanningen
+- **Teknisk stack:** React/TS/Vite, Node/TS/Express, Python/PyTorch, Docker
+- **Kodstandard:** TypeScript strict, ESLint, Prettier, inga `any`, inga `console.log` i prod
+- **Git-flöde:** Issue → Branch → Code → Tests → Commit → PR → Review → Merge → Deploy
+- **Kubernetes-first** för plattform, GitOps, aldrig manuella ändringar
+- **All infrastruktur är kod** — samma Git-flöde som applikationskod
+- **AI-agent-regler:** Arbeta endast i Git, aldrig produktion, skriv tester
+
+### LandveX Internal Pilot: DEPLOYED
+
+**Status:**
+- **API:** http://localhost:3002 ✅
+- **UI:** http://localhost:3003 ✅
+- **Health:** `/health` — OK
+- **Version:** `/version` — environment, version, commit, build
+
+**Go Live Checklist:** `docs/GO_LIVE_CHECKLIST.md`
+
+### Product Levels
+
+**File:** `docs/LANDVEX_PRODUCT_LEVELS.md`
+
+- **Level 0: Public** (gratis) — öppen karta, trender, heatmaps
+- **Level 1: Professional** — egna områden, dashboard, rapporter
+- **Level 2: Enterprise** — AI-regler, Mission Engine, Hotspots, Credits
+- **Level 3: Platform** — multi-org, egna modeller, white-label, federation
+
+**Progressive Disclosure:** Grundinställt väldigt enkelt, men man kan gå djupt.
+
+### Vision v2.0: Living Operational Model
+
+**File:** `docs/LANDVEX_VISION_v2.md`
+
+> LandveX är en kontinuerligt uppdaterad operativ modell av kundens infrastruktur som kombinerar verifierade observationer, historik och beslutsstöd för att hjälpa organisationer prioritera rätt åtgärder vid rätt tidpunkt.
+
+**Fem nivåer:** Reality → Digital Representation → Current State → Intelligence → Prediction
+
+### Spatial Intelligence
+
+**File:** `docs/SPATIAL_INTELLIGENCE.md`
+
+**Tre dimensioner för varje Observation:**
+- **Semantisk:** Vad är objektet? (spricka, skylt, brunn)
+- **Spatial:** Exakt var? (fasad, våning, zon, höjd, fil, riktning)
+- **Temporal:** När observerad och hur förändrad?
+
+**Precision i 4 steg:** GPS → triangulering → 3D-rekonstruktion → historik
+
+### OR-001: Operational Readiness
+
+**File:** `docs/OR-001-OPERATIONAL_READINESS.md`
+
+- **Every pilot creates assets** — Session, Mission, Artifacts, Metadata, Timeline, Report
+- **Every failure is a Field Discovery** (FD-XXXX) — not a bug
+- **Every upload becomes permanent knowledge** — Asset → Metadata → Knowledge → Decision → Learning
+- **Measure the factory** — Reality, Knowledge, Decisions, Learning, Economy
+- **Verified Decision Library** — biggest asset
+- **Sprint planning** — starts with real pilot observations
+
+### Commits This Session (Full List)
+
+- `e2e3d009` — MASTER PROMPT: Intelligence Lab Development Mode v1.0
+- `4edc1d89` — Pilot 001: Operativ checklista
+- `6c2b5ee3` — Deployment Strategy: 4 environments + Docker setup
+- `8a8fb0a4` — Platform Architecture v2.0: One Platform, Multiple Roles
+- `c5a42506` — Readiness Dashboard
+- `207185e5` — Minimal RBAC + Feature Flags + Developer Mode
+- `7b7660b0` — Engineering Standard v1.0
+- `740da921` — Engineering Standard v1.0: Kubernetes-first + GitOps
+- `ddfe99f9` — Go Live Checklist + Version Endpoint
+- `6e1aa1b0` — LandveX Internal Pilot: DEPLOYED
+- `1b16e422` — LandveX Product Levels: 4 tiers with Progressive Disclosure
+- `167def5a` — LandveX Vision v2.0: Living Operational Model
+- `9883b2c7` — Spatial Intelligence: Three dimensions for every observation
+- `7ceb2b24` — OR-001: Operational Readiness
+
+### Stoppregel
+
+> Ingen ny arkitektur eller ADR-dokument förrän Pilot 001 genomfört med verkligt uppdrag.
+
+### Sprint 0 Mål
+
+> En pilotanvändare får en länk, installerar appen via TestFlight eller Google Play Internal Testing, loggar in och genomför ett uppdrag mot https://pilot.landvex.com utan hjälp från en utvecklare.