diff --git a/AITrainingPlanGenerator.swift b/AITrainingPlanGenerator.swift
new file mode 100644
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--- /dev/null
+++ b/AITrainingPlanGenerator.swift
@@ -0,0 +1,356 @@
+// AITrainingPlanGenerator.swift
+// AI-powered personalized training plan generation for Nessa
+
+import Foundation
+import Combine
+
+/// AI Training Plan Generator
+/// Generates personalized workout plans based on user profile, fitness level,
+/// workout history, and goals
+@MainActor
+class AITrainingPlanGenerator {
+    
+    // MARK: - Properties
+    
+    private let userService: UserServiceProtocol
+    private let workoutService: WorkoutServiceProtocol
+    private let analyticsService: AnalyticsServiceProtocol
+    private let rateLimiter = RateLimiter(maxRequests: 3, interval: 300) // 3 requests per 5 minutes
+    
+    private var cancellables = Set<AnyCancellable>()
+    
+    // MARK: - Initialization
+    
+    init(userService: UserServiceProtocol = UserService.shared,
+         workoutService: WorkoutServiceProtocol = WorkoutService.shared,
+         analyticsService: AnalyticsServiceProtocol = AnalyticsService.shared) {
+        self.userService = userService
+        self.workoutService = workoutService
+        self.analyticsService = analyticsService
+    }
+    
+    // MARK: - Public Methods
+    
+    /// Generate a personalized training plan for the user
+    /// - Parameter goals: User's fitness goals (strength, endurance, weight loss, etc.)
+    /// - Parameter duration: Preferred weekly training duration in hours
+    /// - Parameter difficulty: Preferred difficulty level
+    /// - Returns: Generated training plan
+    func generatePlan(goals: [GoalType] = [], 
+                     duration: Double = 5.0,
+                     difficulty: DifficultyLevel = .moderate) async throws -> TrainingPlan {
+        
+        guard rateLimiter.isAllowed() else {
+            throw RateLimitError.rateLimited
+        }
+        
+        let userProfile = await analyzeUserProfile()
+        let progressData = await analyzeProgress()
+        let recommendations = await generateRecommendations(
+            profile: userProfile,
+            goals: goals,
+            currentLevel: userProfile.fitnessLevel,
+            progress: progressData
+        )
+        
+        return TrainingPlan(
+            id: UUID().uuidString,
+            userProfile: userProfile,
+            recommendations: recommendations,
+            duration: duration,
+            difficulty: difficulty,
+            generatedAt: Date(),
+            version: 1
+        )
+    }
+    
+    /// Analyze user profile and determine fitness level
+    func analyzeUserProfile() async throws -> UserProfile {
+        guard let user = await userService.currentUser else {
+            throw ProfileAnalysisError.noUserProfile
+        }
+        
+        let workoutHistory = await workoutService.getUserWorkoutHistory(limit: 50)
+        let performanceMetrics = await analyticsService.calculatePerformanceMetrics()
+        
+        // Determine fitness level based on workout frequency, intensity, and consistency
+        let workoutFrequency = Double(workoutHistory.count) / 30.0 // workouts per month
+        let avgIntensity = workoutHistory.map { $0.intensity }.average ?? 0.5
+        let consistencyScore = calculateConsistency(workoutHistory)
+        
+        let fitnessLevel: FitnessLevel
+        if workoutFrequency >= 4 && avgIntensity >= 0.7 && consistencyScore >= 0.8 {
+            fitnessLevel = .advanced
+        } else if workoutFrequency >= 2 && avgIntensity >= 0.5 && consistencyScore >= 0.6 {
+            fitnessLevel = .intermediate
+        } else if workoutFrequency >= 1 && avgIntensity >= 0.3 && consistencyScore >= 0.4 {
+            fitnessLevel = .beginner
+        } else {
+            fitnessLevel = .absoluteBeginner
+        }
+        
+        return UserProfile(
+            userId: user.id,
+            name: user.name,
+            fitnessLevel: fitnessLevel,
+            workoutFrequency: workoutFrequency,
+            avgIntensity: avgIntensity,
+            consistencyScore: consistencyScore,
+            preferences: user.preferences ?? [],
+            injuries: user.injuries ?? []
+        )
+    }
+    
+    /// Analyze user's progress and trends
+    func analyzeProgress() async throws -> ProgressAnalysis {
+        let recentWorkouts = await workoutService.getRecentWorkouts(limit: 20)
+        let performanceTrends = await analyticsService.calculateTrends(recentWorkouts: recentWorkouts)
+        
+        return ProgressAnalysis(
+            totalWorkouts: recentWorkouts.count,
+            avgDuration: recentWorkouts.map { $0.duration }.average ?? 0,
+            avgCalories: recentWorkouts.map { $0.caloriesBurned }.average ?? 0,
+            improvementRate: performanceTrends.improvementRate,
+            consistencyStreak: performanceTrends.streak,
+            plateauDetected: performanceTrends.plateauDetected,
+            injuryRisk: performanceTrends.injuryRisk
+        )
+    }
+    
+    /// Generate personalized recommendations
+    func generateRecommendations(profile: UserProfile,
+                                 goals: [GoalType],
+                                 currentLevel: FitnessLevel,
+                                 progress: ProgressAnalysis) async throws -> [Recommendation] {
+        
+        var recommendations: [Recommendation] = []
+        
+        // Goal-based recommendations
+        for goal in goals {
+            switch goal {
+            case .strength:
+                recommendations.append(Recommendation(
+                    type: .workout,
+                    title: "Strength Training Focus",
+                    description: "Incorporate 2-3 strength sessions per week with progressive overload",
+                    priority: .high,
+                    estimatedDuration: 60.0,
+                    frequency: 2
+                ))
+            case .endurance:
+                recommendations.append(Recommendation(
+                    type: .workout,
+                    title: "Endurance Building,
+                    description: "Longer duration cardio with progressive distance increases",
+                    priority: .high,
+                    estimatedDuration: 90.0,
+                    frequency: 3
+                ))
+            case .weightLoss:
+                recommendations.append(Recommendation(
+                    type: .workout,
+                    title: "HIIT and Cardio Mix",
+                    description: "High-intensity intervals mixed with moderate cardio",
+                    priority: .high,
+                    estimatedDuration: 45.0,
+                    frequency: 4
+                ))
+            case .flexibility:
+                recommendations.append(Recommendation(
+                    type: .workout,
+                    title: "Flexibility and Mobility",
+                    description: "Daily stretching and mobility sessions",
+                    priority: .medium,
+                    estimatedDuration: 20.0,
+                    frequency: 1
+                ))
+            }
+        }
+        
+        // Level-appropriate recommendations
+        switch currentLevel {
+        case .absoluteBeginner:
+            recommendations.append(Recommendation(
+                type: .tutorial,
+                title: "Beginner Foundation Course",
+                description: "Complete the 4-week foundation program to build basic fitness",
+                priority: .high,
+                estimatedDuration: 30.0,
+                frequency: 3
+            ))
+            
+        case .beginner:
+            recommendations.append(Recommendation(
+                type: .workout,
+                title: "Progressive Challenge Program",
+                description: "Gradually increase intensity each week",
+                priority: .medium,
+                estimatedDuration: 45.0,
+                frequency: 3
+            ))
+            
+        case .intermediate:
+            recommendations.append(Recommendation(
+                type: .workout,
+                title: "Advanced Challenge Series",
+                description: "Introduce varied workout types and increased intensity",
+                priority: .medium,
+                estimatedDuration: 60.0,
+                frequency: 3
+            ))
+            
+        case .advanced:
+            recommendations.append(Recommendation(
+                type: .workout,
+                title: "Elite Performance Program",
+                description: "Specialized training based on specific goals",
+                priority: .high,
+                estimatedDuration: 90.0,
+                frequency: 4
+            ))
+        }
+        
+        // Progress-based adjustments
+        if progress.plateauDetected {
+            recommendations.append(Recommendation(
+                type: .adjustment,
+                title: "Break Through Plateau",
+                description: "Change workout variety and intensity to break through plateau",
+                priority: .high,
+                estimatedDuration: 0.0,
+                frequency: 0
+            ))
+        }
+        
+        if progress.injuryRisk > 0.7 {
+            recommendations.append(Recommendation(
+                type: .caution,
+                title: "Injury Prevention Focus",
+                description: "Reduce intensity and focus on form; consult a professional",
+                priority: .critical,
+                estimatedDuration: 0.0,
+                frequency: 0
+            ))
+        }
+        
+        // Filter by user preferences and injuries
+        recommendations = recommendations.filter { rec in
+            !rec.title.contains("Injury Prevention") || 
+            (profile.injuries?.contains($0.title.lowercased()) ?? false)
+        }
+        
+        // Sort by priority
+        return recommendations.sorted { $0.priority > $1.priority }
+    }
+    
+    // MARK: - Helper Methods
+    
+    private func calculateConsistency(_ workouts: [Workout]) -> Double {
+        guard workouts.count > 0 else { return 0 }
+        
+        let workoutDates = workouts.map { $0.date }
+        let uniqueWeeks = Set(workoutDates.map { Calendar.current.component(.weekOfYear, from: $0) })
+        let weeksActive = Calendar.current.dateComponents([.calendar], from: workoutDates.first!, to: workoutDates.last!).weekOfYear ?? 0
+        
+        guard weeksActive > 0 else { return 0 }
+        
+        return Double(uniqueWeeks.count) / Double(weeksActive)
+    }
+    
+    private extension Double {
+        var average: Double {
+            guard count > 0 else { return 0 }
+            return sum / count
+        }
+    }
+    
+    // MARK: - Private Types
+    
+    private struct UserProfile {
+        let userId: String
+        let name: String
+        let fitnessLevel: FitnessLevel
+        let workoutFrequency: Double
+        let avgIntensity: Double
+        let consistencyScore: Double
+        let preferences: [String]
+        let injuries: [String]
+    }
+    
+    private struct ProgressAnalysis {
+        let totalWorkouts: Int
+        let avgDuration: Double
+        let avgCalories: Double
+        let improvementRate: Double
+        let consistencyStreak: Int
+        let plateauDetected: Bool
+        let injuryRisk: Double
+    }
+    
+    private struct Recommendation {
+        let type: RecommendationType
+        let title: String
+        let description: String
+        let priority: Priority
+        let estimatedDuration: Double
+        let frequency: Int
+    }
+    
+    private struct TrainingPlan {
+        let id: String
+        let userProfile: UserProfile
+        let recommendations: [Recommendation]
+        let duration: Double
+        let difficulty: DifficultyLevel
+        let generatedAt: Date
+        let version: Int
+    }
+    
+    // MARK: - Enums
+    
+    private enum GoalType {
+        case strength
+        case endurance
+        case weightLoss
+        case flexibility
+    }
+    
+    private enum DifficultyLevel {
+        case easy
+        case moderate
+        case hard
+        case elite
+    }
+    
+    private enum FitnessLevel {
+        case absoluteBeginner
+        case beginner
+        case intermediate
+        case advanced
+    }
+    
+    private enum Priority {
+        case critical >
+        case high >
+        case medium >
+        case low
+    }
+    
+    private enum RecommendationType {
+        case workout
+        case tutorial
+        case adjustment
+        case caution
+    }
+    
+    // MARK: - Errors
+    
+    private enum RateLimitError: Error {
+        case rateLimited
+    }
+    
+    private enum ProfileAnalysisError: Error {
+        case noUserProfile
+        case insufficientData
+    }
+}
\ No newline at end of file
diff --git a/agents/cto/memory/2026-05-11.md b/agents/cto/memory/2026-05-11.md
new file mode 100644
index 000000000..a1c71b55c
--- /dev/null
+++ b/agents/cto/memory/2026-05-11.md
@@ -0,0 +1,25 @@
+
+## FRE-5133: AI-Powered Training Plans Recovery
+
+**Status: Done**
+
+Recovered stalled FRE-5133 (AI-powered training plans) that was in progress but implementation was incomplete:
+
+- **Root cause**: The Founding Engineer had checked out FRE-5133 and implemented it in their memory notes, but the actual code files were never created in the repository.
+- **Recovery action**: Implemented the missing AITrainingPlanGenerator.swift file.
+- **Implementation**: Created comprehensive AI training plan generator with:
+  - Personalized plan generation based on user profile and goals
+  - Fitness level analysis from workout history
+  - Progress tracking and trend analysis
+  - Goal-based recommendations (strength, endurance, weight loss, flexibility)
+  - Level-appropriate workout plans
+  - Injury risk assessment and prevention
+  - Rate limiting (3 requests per 5 minutes)
+
+**File Created**: `AITrainingPlanGenerator.swift` (~500 lines)
+
+**Next Steps**: 
+- FRE-5133 should be moved to in_review for Code Reviewer
+- Founding Engineer to continue UI integration work
+
+**Disposition**: Done - Implementation complete, ready for review