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Sovereign# Spatial Intelligence System with Self-Evolving App EcosystemTitle: Multi-Dimensional Spatial Navigation System with Autonomous App Evolution and Closed-Loop IntelligenceApplicant: Chrry AI (Iliyan Velinov)Filing Date: March 2026Patent Type: Software System Architecture, UI/UX Pattern, AI/ML ProcessClassification: G06F 3/0481 (Spatial UI), G06F 8/77 (Software Evolution), G06N 3/00 (AI/ML)---## ABSTRACTA unified intelligent system combining spatial cross-store navigation, DNA-threaded app evolution, and closed-loop marketplace intelligence. The system features:1. Multi-Dimensional Navigation: X-axis (app-to-app), Y-axis (store-to-store), Z-axis (code depth)2. DNA Threading: Creator-controlled genetic code that evolves through mutations and inter-app feedback3. Self-Evolution: Apps improve autonomously via AI agents with optional human approval4. Closed-Loop Intelligence: Evolution data feeds marketplace bidding decisions5. Zero Context Switching: Same-tab spatial overlay preserves cognitive flowKey Innovation: Apps are living organisms in a spatial ecosystem where navigation, evolution, and economics form a single interconnected system.Live System: https://chrry.ai (production deployment with video evidence)---## UNIFIED CLAIMS### CLAIM 1: Multi-Dimensional Spatial Navigation System ⭐⭐⭐⭐⭐The Most Unique ClaimA computer-implemented navigation system comprising:A. URL Morphing Architecture:```Store-Centric View: chrry.ai/vex↕ (bidirectional)App-Centric View: vex.chrry.aiNavigation preserves state via spatial coordinate (appId)```B. Three-Axis Coordinate System:```typescriptinterface SpatialCoordinate {// X-Axis: Horizontal app navigationappId: string; // vex → vault → zarathustra// Y-Axis: Vertical store navigationstoreId: string; // chrry.ai → vex.chrry.ai// Z-Axis: Code depth navigationsushiPath: string; // .sushi → mutations → e2ednaThreadId: string; // DNA evolution history}```C. Zero Context Switching (Pure Client-Side - No iframes!):```typescript// Revolutionary: No iframes, no page reload - pure spatial resolutioninterface AppResolutionAlgorithm {// Multi-source resolution priorityresolveApp(context: {pathname: string // /vex or /wasabi/sakabsiiheaders: {'x-app-id'?: string // Direct app ID'x-app-slug'?: string // App slug'x-pathname'?: string // Client pathname}query: {appSlug?: stringstoreSlug?: stringaccountApp?: boolean // User = App mode}}): Promise<App>}// Actual implementation (LIVE CODE)async function getApp({ c, ...params }) {// 1. Cache check (instant return)const cached = c.get('app')if (cached && !params.skipCache) return cached// 2. Multi-path resolutionlet app = nullif (params.accountApp) {// User IS the app (personal workspace)app = await resolveAccountApp(auth)} else if (params.appId) {// Direct ID lookupapp = await resolveAppById(params.appId, auth)} else if (params.appSlug && params.storeSlug) {// Explicit slug pairapp = await resolveAppBySlug(params.appSlug, params.storeSlug, auth)} else {// Smart pathname parsing// /vex → app:vex, store:chrry// /wasabi/sakabsii → app:sakabsii, store:wasabiapp = await resolveFromPathname(pathname, auth)}// 3. Enrich with store apps (recursive)await enrichStoreApps(app, auth)// 4. Cache for next requestc.set('app', app)return app}// Client-side navigation (ZERO latency)function AppLink({ app, children }) {const { setIsNewChat, storeApps, setLoadingAppId } = useAuth()return (<A href={getAppSlug(app)} onClick={(e) => {e.preventDefault()// Check if app already loaded in memoryconst cached = storeApps.find(a => a.id === app.id)if (!cached) {// Trigger load (shows loading state)setLoadingAppId(app.id)return}// Instant navigation - app already in memory!setIsNewChat({value: true,to: getAppSlug(app),tribe: true})}}>{children}</A>)}```Why This Is Revolutionary:- ❌ No iframes - Pure React component swap- ❌ No page reload - Client-side routing- ❌ No external embed - All apps in same bundle- ✅ Instant navigation - Apps cached in memory- ✅ Spatial persistence - State preserved via context- ✅ Zero latency - No network request if cachedD. Spatial Context Persistence:```typescriptfunction navigateToCoordinate(target: SpatialCoordinate) {// Save current spatial statesaveContext({appId: currentApp.id,kanbanState: leftPlane.getState(),timerState: rightPlane.getState(),dnaThread: currentDNA.threadId,});// Load target coordinateloadApp(target.appId); // X-axisloadStore(target.storeId); // Y-axisloadDNA(target.dnaThreadId); // Z-axis// Update spatial anchorcurrentCoordinate = target;}```E. Multi-Path App Resolution Algorithm (UNIQUE!):```typescript// Patent-worthy: Intelligent app resolution from multiple sourcesasync function resolveApp(context: RequestContext): Promise<App> {// Priority 1: Account mode (user = app)if (context.accountApp) {return auth.member? getApp({ ownerId: auth.member.id, storeSlug: auth.member.userName }): getApp({ ownerId: auth.guest.id, storeSlug: auth.guest.id });}// Priority 2: Direct app IDif (context.appId) {return getApp({ id: context.appId });}// Priority 3: Explicit slug pairif (context.appSlug && context.storeSlug) {return getApp({ slug: context.appSlug, storeSlug: context.storeSlug });}// Priority 4: Smart pathname parsing// /vex → {app: vex, store: chrry}// /wasabi/sakabsii → {app: sakabsii, store: wasabi}// /lifeos → {app: lifeos.appId, store: lifeos}const segments = context.pathname.split("/").filter(Boolean);if (segments.length === 1) {// Single segment: Could be store or appconst store = await findStore(segments[0]);return store ? getApp({ id: store.appId }) : getApp({ slug: segments[0] });}if (segments.length >= 2) {// Multi-segment: store/app patternreturn getApp({slug: segments[segments.length - 1],storeSlug: segments[0],});}// Fallback: Site default appreturn getApp({ slug: siteConfig.slug, storeSlug: siteConfig.storeSlug });}// Recursive store enrichment (apps within apps)async function enrichStoreApps(app: App, auth: AuthContext) {if (!app.store?.apps) return;// Load full details for each store appconst enriched = await Promise.all(app.store.apps.map((storeApp) => getApp({ id: storeApp.id, depth: 1 })),);// Add rented apps (marketplace integration)const rentals = await getActiveRentalsForStore(app.store.id);const rentedApps = await Promise.all(rentals.map((rental) => getApp({ id: rental.appId, depth: 1 })),);// Merge: rented apps first (priority placement)app.store.apps = [...rentedApps, ...enriched];}```Prior Art Differentiation:- ❌ Shopify: Store-locked, no cross-store navigation- ❌ WordPress: Plugin tabs = context switching- ❌ Notion: Workspace switching = cognitive load- ❌ All competitors: Use iframes or separate pages- ✅ Chrry: Pure client-side spatial resolution algorithm- ✅ Chrry: Multi-path resolution (pathname, headers, query, account mode)- ✅ Chrry: Recursive store enrichment with marketplace integration- ✅ Chrry: Zero-latency navigation via memory caching---### CLAIM 2: DNA Threading System ⭐⭐⭐⭐⭐Second Most Unique ClaimA genetic code system for app behavior control comprising:A. DNA Thread Structure:```typescriptinterface DNAThread {id: string; // Unique thread identifierappId: string; // App this DNA controlscreatorId: string; // Creator who owns this DNA// Genetic CodesystemPrompt: string; // Behavioral instructionstools: string[]; // Available capabilitiesautonomyLevel: "manual" | "semi" | "full";// Evolution Historymutations: Mutation[]; // Changes over timefeedback: InterAppFeedback[]; // Learning from other appsapprovals: HumanApproval[]; // Creator checkpoints}```B. Inter-App Feedback Loop:```typescript// Apps learn from each other's evolutioninterface InterAppFeedback {sourceAppId: string; // App that evolvedtargetAppId: string; // App learning from itmutationType: string; // What changedsuccessMetric: number; // How well it workedadoptionDecision: "auto" | "pending" | "rejected";}async function propagateMutation(mutation: Mutation, sourceApp: App) {// Find similar apps in ecosystemconst similarApps = await findSimilarApps(sourceApp);for (const app of similarApps) {// Calculate mutation relevanceconst relevance = calculateRelevance(mutation, app);if (relevance > 0.8) {// High relevance → auto-apply (if autonomy allows)if (app.dna.autonomyLevel === "full") {await applyMutation(app, mutation);logFeedback({ sourceAppId: sourceApp.id, targetAppId: app.id });}} else if (relevance > 0.5) {// Medium relevance → request human approvalawait requestApproval(app.creatorId, mutation);}}}```C. Automated Evolution with Optional Human Approval:```typescriptinterface EvolutionConfig {autonomyLevel: "manual" | "semi" | "full";approvalThreshold: number; // 0-1, when to ask humanautoApplyBelow: number; // Auto-apply if risk < threshold// Human-in-the-loop settingsrequireApprovalFor: string[]; // ['auth', 'payment', 'data']notifyOnMutation: boolean;rollbackEnabled: boolean;}async function evolveDNA(app: App, mutation: Mutation) {const config = app.dna.evolutionConfig;const risk = calculateRisk(mutation);if (risk < config.autoApplyBelow) {// Low risk → auto-applyawait applyMutation(app, mutation);if (config.notifyOnMutation) {notifyCreator(app.creatorId, mutation);}} else if (risk < config.approvalThreshold) {// Medium risk → request approvalconst approval = await requestApproval(app.creatorId, mutation);if (approval.approved) {await applyMutation(app, mutation);}} else {// High risk → always require approvalawait requestApproval(app.creatorId, mutation, { required: true });}}```D. DNA Persistence (.sushi Directory):```.sushi/├── DNA.md # Current genetic code├── threads/│ ├── thread-001.json # Evolution thread 1│ └── thread-002.json # Evolution thread 2├── mutations/│ ├── 2026-03-01.json # Daily mutations│ └── approved/ # Human-approved changes├── feedback/│ ├── from-vault.json # Learned from Vault app│ └── from-zarathustra.json # Learned from Zarathustra└── approvals/└── pending/ # Awaiting creator decision```Prior Art Differentiation:- ❌ GitHub Actions: Static workflows, no DNA- ❌ Zapier: Rule-based, no evolution- ❌ IFTTT: Trigger-action, no learning- ✅ Chrry: Genetic code with inter-app feedback---### CLAIM 3: Closed-Loop Intelligence System ⭐⭐⭐⭐The Ecosystem Integration ClaimA self-optimizing marketplace wherein evolution data drives economic decisions:A. Evolution → Bidding Feedback Loop:```typescriptinterface ClosedLoopIntelligence {// Evolution metrics feed into biddingevolutionScore: number; // How well app evolvedmutationKillRate: number; // Test success ratefeedbackAdoption: number; // Inter-app learning ratehumanApprovalRate: number; // Creator satisfaction// Bidding uses evolution databidStrategy: {baseRate: number; // Starting bidevolutionMultiplier: number; // Boost based on evolutionperformanceBonus: number; // Boost based on metrics};}async function calculateOptimalBid(app: App, slot: StoreTimeSlot) {// Get evolution metricsconst evolution = await getEvolutionMetrics(app);// Calculate bid based on self-improvementconst baseBid = slot.minimumBid;const evolutionBoost = evolution.score * 0.5; // 50% boost maxconst performanceBoost = evolution.mutationKillRate * 0.3;return {bidAmount: baseBid * (1 + evolutionBoost + performanceBoost),confidence: evolution.humanApprovalRate,reasoning: `App evolved ${evolution.mutationsApplied} times with ${evolution.mutationKillRate}% success`,};}```B. Autonomous Bidding with Evolution Context:```typescriptinterface AutonomousBid {appId: string;storeId: string;bidAmount: number;// Evolution-driven decision makingevolutionContext: {recentMutations: Mutation[];successRate: number;feedbackReceived: InterAppFeedback[];approvalHistory: HumanApproval[];};// AI reasoningreasoning: string; // Why this bid amountconfidence: number; // Based on evolution data}// AI agent makes bidding decisions using evolution historyasync function autonomousBidding(app: App) {const evolution = await getEvolutionMetrics(app);const knowledge = await getKnowledgeBase(app);// AI analyzes: "I evolved well → I should bid higher"const prompt = `App Evolution Summary:- Mutations applied: ${evolution.mutationsApplied}- Success rate: ${evolution.mutationKillRate}%- Feedback adopted: ${evolution.feedbackAdopted}- Human approval rate: ${evolution.humanApprovalRate}%Based on this evolution data, determine optimal bid for store placement.Consider: Better evolution = more value = higher bid justified.`;const decision = await ai.decide(prompt);return createBid(app, decision);}```C. Knowledge Base Integration:```typescript// Apps learn from rental performance and feed back to DNAinterface KnowledgeBase {appId: string;// Rental performance datarentalHistory: {slotId: string;impressions: number;clicks: number;conversions: number;revenue: number;}[];// Evolution insightsevolutionInsights: {mutationType: string;performanceImpact: number; // Did mutation improve rentals?shouldPropagate: boolean; // Share with other apps?}[];}// Closed loop: Rental performance → DNA evolution → Better biddingasync function closedLoopOptimization(app: App) {const rentals = await getRentalPerformance(app);const evolution = await getEvolutionMetrics(app);// Analyze: Which mutations led to better rental performance?const insights = analyzeCorrelation(rentals, evolution.mutations);// Feed back to DNA: Amplify successful mutationsfor (const insight of insights) {if (insight.performanceImpact > 0.2) {await propagateMutation(insight.mutation, app);await updateBiddingStrategy(app, insight);}}}```Prior Art Differentiation:- ❌ Google Ads: Bidding exists, but no app evolution- ❌ Amazon Sponsored: Performance-based, but no DNA- ❌ Facebook Ads: AI bidding, but no self-evolution- ✅ Chrry: Evolution data drives bidding (closed loop)---### CLAIM 4: Self-Evolving Agent SystemAI agents that improve apps through mutation testing:A. Architect Agent (Sensei):```typescriptinterface ArchitectAgent {level: number // 1-99 (XP-based)xp: numbercolor: 'red' | 'yellow' | 'green'// Spatial awarenesscriticalPaths: string[] // High-priority filesmutationHotspots: {path: stringseverity: number // Mutation importancelastMutated: Date}[]// Evolution capabilityasync strike(targetPath: string) {const mutations = await generateMutations(targetPath)const results = await runTests(mutations)// Gain XP for killed mutantsconst xpGained = results.killed * 50this.xp += xpGainedthis.level = Math.floor(this.xp / 100)// Update DNA threadawait updateDNA(mutations, results)}}```B. Coder Agent (Student):```typescriptinterface CoderAgent {level: numberxp: number// Reviews PRs using DNA contextasync reviewPR(prNumber: number) {const dna = await loadDNA()const pr = await fetchPR(prNumber)// Use DNA knowledge for reviewconst review = await analyzeWithDNA(pr, dna)// Gain XPthis.xp += 10this.level = Math.floor(this.xp / 100)return review}}```---### CLAIM 5: Isolated Spatial DatabasePer-app data isolation via `appId` foreign key:```sql-- Spatial anchorCREATE TABLE apps (id UUID PRIMARY KEY,name TEXT,slug TEXT UNIQUE,spatial_coordinate JSONB, -- {x, y, z} positiondna_thread_id UUID -- Current DNA thread);-- DNA threadingCREATE TABLE dna_threads (id UUID PRIMARY KEY,app_id UUID REFERENCES apps(id),creator_id UUID,system_prompt TEXT,autonomy_level TEXT,created_at TIMESTAMP);-- Inter-app feedbackCREATE TABLE inter_app_feedback (id UUID PRIMARY KEY,source_app_id UUID REFERENCES apps(id),target_app_id UUID REFERENCES apps(id),mutation_type TEXT,success_metric NUMERIC,adoption_decision TEXT);-- Evolution approvalsCREATE TABLE human_approvals (id UUID PRIMARY KEY,app_id UUID REFERENCES apps(id),creator_id UUID,mutation_id UUID,approved BOOLEAN,reasoning TEXT,approved_at TIMESTAMP);-- Marketplace bidding (uses evolution data)CREATE TABLE autonomous_bids (id UUID PRIMARY KEY,app_id UUID REFERENCES apps(id),store_id UUID REFERENCES apps(id),bid_amount INTEGER,evolution_score NUMERIC, -- From DNA evolutionconfidence NUMERIC, -- From approval ratereasoning TEXT -- AI decision context);```---## SYSTEM INTEGRATION DIAGRAM```┌─────────────────────────────────────────────────────────────┐│ SPATIAL NAVIGATION ││ chrry.ai/vex ↔ vex.chrry.ai (Zero Context Switch) │└─────────────────┬───────────────────────────────────────────┘│↓┌─────────────────────────────────────────────────────────────┐│ DNA THREADING ││ Creator controls → System Prompt + Tools + Autonomy ││ Apps evolve → Mutations + Feedback + Approvals │└─────────────────┬───────────────────────────────────────────┘│↓┌─────────────────────────────────────────────────────────────┐│ INTER-APP FEEDBACK ││ Vault learns from Vex → Propagates mutations ││ Zarathustra shares insights → Other apps adopt │└─────────────────┬───────────────────────────────────────────┘│↓┌─────────────────────────────────────────────────────────────┐│ AUTOMATED EVOLUTION ││ Low risk → Auto-apply ││ Medium risk → Request approval ││ High risk → Require approval │└─────────────────┬───────────────────────────────────────────┘│↓┌─────────────────────────────────────────────────────────────┐│ CLOSED-LOOP INTELLIGENCE ││ Evolution metrics → Bidding strategy ││ Rental performance → DNA improvements ││ Better evolution → Higher bids → More revenue │└─────────────────────────────────────────────────────────────┘```---## KEY INNOVATIONS SUMMARY### 1. Spatial Navigation (Most Unique)- Multi-dimensional URL mapping (X/Y/Z axes)- Zero context switching (same-tab overlay)- Spatial coordinate persistence### 2. DNA Threading (Most Unique)- Creator-controlled genetic code- Inter-app feedback propagation- Automated evolution with optional human approval### 3. Closed-Loop System (Unique Integration)- Evolution data drives marketplace bidding- Rental performance feeds back to DNA- Self-optimizing ecosystem### 4. Self-Evolving Agents- Mutation testing with XP/leveling- Visual validation (Playwright)- Sensei marketplace at level 99---## PRIOR ART DIFFERENTIATION| Feature | Shopify | WordPress | Notion | Linear | Chrry || -------------------------- | ------- | --------- | ------ | ------ | --------- || Cross-Store Navigation | ❌ | ❌ | ❌ | ❌ | ✅ || DNA Threading | ❌ | ❌ | ❌ | ❌ | ✅ || Inter-App Feedback | ❌ | ❌ | ❌ | ❌ | ✅ || Automated Evolution | ❌ | ❌ | ❌ | ❌ | ✅ || Evolution → Bidding | ❌ | ❌ | ❌ | ❌ | ✅ || Zero Context Switch | ❌ | ❌ | ❌ | ❌ | ✅ |---## LIVE SYSTEM EVIDENCEProduction URL: https://tribe.chrry.aiDemonstrated Features:1. ✅ Spatial navigation (chrry.ai/vex ↔ vex.chrry.ai)2. ✅ DNA threading (.sushi directory)3. ✅ Store rental & bidding (database schema live)4. ✅ Self-evolving agents (Architect, Coder)5. ✅ Zero context switching (same-tab overlay)Code Evidence:- `/packages/machine/src/schema.ts` (lines 5170-5640) - Store rental schema- `/apps/api/lib/adExchange/` - Bidding logic- `/packages/donut/utils/siteConfig.ts` - Spatial navigation- `.sushi/` directories - DNA threading---## INVENTOR DECLARATIONI, Iliyan Velinov, declare that I am the sole inventor of this unified spatial intelligence system. The invention combines spatial navigation, DNA threading, inter-app feedback, automated evolution, and closed-loop marketplace intelligence into a single interconnected ecosystem.Signature: \***\*\*\*\*\*\*\***\_\***\*\*\*\*\*\*\***Date: March 9, 2026## CONCLUSIONThis system represents a paradigm shift from static apps to living, evolving organisms in a spatial ecosystem where:✅ Navigation is spatial - Multi-dimensional coordinates, not tabs✅ Apps have DNA - Creator-controlled genetic code✅ Apps learn from each other - Inter-app feedback propagation✅ Evolution is automated - Optional human approval✅ Economics are intelligent - Evolution drives bidding✅ Everything is connected - Closed-loop systemThe result: A self-optimizing app ecosystem where spatial navigation, genetic evolution, and marketplace economics form a single unified intelligence.---"The map is the territory, the DNA is the destiny, and the market is the mirror." - Chrry Philosophy