How AI Fitness Apps Create Personalized Workout Plans That Actually Work

Introduction: The Revolution in Personal Fitness Technology

The fitness industry has undergone a dramatic transformation over the past decade, and artificial intelligence stands at the forefront of this revolution. Gone are the days when one-size-fits-all workout programs dominated gym culture and fitness magazines. Today, AI-powered fitness applications are creating personalized workout plans that adapt in real-time to your performance, preferences, and progress, delivering results that would have required expensive personal trainers just years ago.

Whether you're in Mumbai trying to lose weight during monsoon season, in Pune looking for home workout solutions, in Delhi searching for gym alternatives during extreme weather, or in Bangalore seeking tech-savvy fitness solutions, AI fitness apps are transforming how Indians and people worldwide approach their health and wellness goals.

This comprehensive guide explores the sophisticated technology behind AI fitness applications, how they create truly personalized workout plans, and why these digital personal trainers are proving more effective than traditional approaches for millions of users globally.

Understanding AI-Powered Fitness Technology

What Makes AI Fitness Apps Different?

Traditional fitness apps follow predetermined workout sequences. You input basic information like age, weight, and fitness goals, and the app assigns you to a generic program. AI fitness apps operate on an entirely different level of sophistication.

These applications use machine learning algorithms that analyze hundreds of data points about your body, lifestyle, preferences, and performance. They learn from every workout you complete, every exercise you skip, and every goal you set. The technology processes this information through neural networks trained on millions of workout sessions from users worldwide, creating a dynamic fitness plan that evolves as you do.

The difference between traditional and AI-powered fitness apps mirrors the difference between reading a fitness book and working with an attentive personal trainer who remembers everything about your fitness journey and adjusts your program accordingly.

The Core Technologies Behind AI Fitness Apps

Machine Learning Algorithms: These systems analyze patterns in your workout data to predict which exercises will be most effective for your goals. They identify which movements you perform well, which ones challenge you appropriately, and which might lead to overtraining or injury.

Computer Vision Technology: Advanced AI fitness apps use your smartphone camera to analyze your form during exercises. The computer vision algorithms can detect if your squat depth is sufficient, if your push-up form is correct, or if your running gait might lead to injury. This technology provides real-time feedback that previously required an in-person trainer.

Natural Language Processing: Many AI fitness apps include chatbot coaches that understand conversational queries. You can ask questions about nutrition, exercise modifications, or why the app recommended a particular workout, and receive contextually relevant answers.

Predictive Analytics: By analyzing your historical performance data, AI systems can predict when you're at risk of burnout, when you're ready to increase intensity, and how long it will take to achieve specific goals based on your current trajectory.

Biometric Integration: AI fitness apps connect with wearable devices to monitor heart rate, sleep quality, stress levels, and recovery metrics. This physiological data allows the AI to determine whether you're ready for an intense workout or need an active recovery day.

How AI Creates Your Personalized Workout Plan

Initial Assessment and Goal Setting

The personalization journey begins the moment you download an AI fitness app. Unlike basic apps that ask for minimal information, AI-powered platforms conduct comprehensive assessments that might include:

Physical Assessment: You'll answer detailed questions about your current fitness level, any injuries or physical limitations, what equipment you have access to, and your exercise history. Some apps use your phone's camera to assess your body composition and posture.

Goal Definition: AI apps don't just ask if you want to "lose weight" or "build muscle." They dig deeper to understand your specific objectives, timelines, and motivations. Are you training for a wedding in three months? Do you want to run a marathon next year? Are you recovering from an injury? The AI needs this context to create an appropriate plan.

Lifestyle Analysis: The app learns about your daily schedule, work demands, family commitments, and travel patterns. If you're a software engineer in Bangalore working night shifts, your workout plan will look vastly different from a teacher in Pune with early morning availability.

Preference Mapping: AI systems learn what types of exercises you enjoy, which environments you prefer (gym, home, outdoors), how long your workout sessions typically last, and what music keeps you motivated. This psychological profiling ensures adherence to the program.

The Algorithm That Builds Your Program

Once the AI has gathered your data, sophisticated algorithms begin constructing your personalized workout plan. Here's what happens behind the scenes:

Exercise Selection: The AI draws from a database of thousands of exercises, filtering based on your equipment, limitations, and goals. It considers exercise biomechanics, ensuring movements complement rather than conflict with each other. For someone in Mumbai working out at home during monsoon season, the algorithm might emphasize bodyweight exercises and indoor cardio alternatives.

Volume and Intensity Calibration: Using principles from exercise science, the AI calculates appropriate training volume (sets, reps, duration) and intensity levels. It applies progressive overload principles systematically, ensuring you're challenged without being overwhelmed.

Exercise Sequencing: The order of exercises matters tremendously for results and injury prevention. AI algorithms sequence movements to optimize energy systems, prevent premature fatigue, and ensure proper muscle activation patterns throughout your workout.

Recovery Integration: Unlike traditional programs that follow rigid weekly schedules, AI apps analyze your recovery metrics to determine when you should train hard and when you need rest. If your sleep data shows poor recovery, the app automatically adjusts the next day's workout intensity.

Periodization Strategy: Elite athletes use periodization to peak performance at the right time. AI apps bring this sophisticated planning to everyone, creating mesocycles and macrocycles that build fitness systematically while preventing burnout and plateaus.

Real-Time Adaptation and Learning

Continuous Performance Analysis

The true power of AI fitness apps emerges after you begin working out. Every session becomes a data point that refines your future programming:

Exercise-by-Exercise Feedback: When you log a workout, the AI analyzes your performance on every exercise. Did you complete all prescribed reps easily? The weight or difficulty increases next time. Did you struggle to finish? The app adjusts downward to keep you in the optimal training zone.

Form Correction: Apps with computer vision capabilities watch your form through your phone's camera, providing instant feedback. If your knee caves inward during a squat, you'll receive a verbal cue to correct it. This real-time coaching prevents injury and ensures you're maximizing the effectiveness of every rep.

Fatigue Detection: By monitoring metrics like heart rate variability, workout completion rates, and subjective feedback, AI systems detect early signs of overtraining. The app might automatically insert a deload week or switch to lower-intensity activities before you experience burnout or injury.

Pattern Recognition: Over weeks and months, AI algorithms identify patterns in your performance. Perhaps you always struggle with workouts on Monday mornings but excel on Wednesday evenings. The app learns these patterns and adjusts scheduling and intensity accordingly.

Dynamic Plan Modifications

Life doesn't follow a predetermined schedule, and AI fitness apps adapt accordingly:

Injury Accommodation: If you report a knee injury, the AI instantly modifies your entire program, eliminating exercises that stress the knee while maintaining training stimulus for unaffected areas. As you recover, the app gradually reintroduces movements based on your progress reports.

Schedule Flexibility: When you can only workout for 20 minutes instead of the scheduled 45, the AI doesn't just cut exercises randomly. It intelligently condenses your workout, prioritizing the most important movements for your goals while maintaining training balance.

Travel Adaptation: Heading to Delhi for a business trip with no gym access? The app automatically converts your gym-based program to effective hotel room or park workouts, ensuring your progress continues regardless of circumstances.

Goal Evolution: As you achieve initial goals or discover new aspirations, simply updating your objectives triggers a complete program recalibration. The transition is gradual and intelligent, building on the fitness you've developed while steering toward new targets.

The Science Behind Effective AI Workout Plans

Evidence-Based Programming Principles

AI fitness apps aren't just using random algorithms. They're built on decades of exercise science research:

Progressive Overload: The fundamental principle of fitness adaptation states that you must gradually increase training stress to continue improving. AI algorithms apply this principle with mathematical precision, increasing weights, reps, sets, or intensity at the optimal rate for your response pattern.

Specificity: Your training should match your goals. AI apps ensure that someone training for a marathon receives very different programming than someone building muscle mass, even if both are the same age and fitness level. The algorithm prioritizes exercise selection based on your specific objectives.

Individual Response Variability: Research shows that people respond differently to the same training stimulus. Some individuals are "high responders" who make rapid gains, while others are "low responders" who need more volume or different approaches. AI systems identify your response type and adjust programming accordingly.

Recovery and Adaptation: Fitness improvements happen during recovery, not during workouts. AI apps monitor recovery metrics through wearable device integration, ensuring you're training when your body is ready and resting when it needs to adapt.

Exercise Variation: While consistency is important, excessive repetition leads to overuse injuries and mental burnout. AI algorithms introduce strategic variation, changing exercises every few weeks while maintaining movement patterns that serve your goals.

Biomechanics and Movement Quality

Understanding human movement is crucial for safe, effective training:

Joint-Friendly Exercise Selection: AI algorithms consider the biomechanical stress different exercises place on joints. For users with shoulder issues, the app might emphasize floor presses over overhead movements while still developing pushing strength.

Movement Pattern Balance: The human body works through fundamental movement patterns: squatting, hinging, pushing, pulling, and carrying. AI ensures your program balances these patterns appropriately, preventing muscular imbalances that lead to injury.

Tempo and Control: The speed at which you perform exercises dramatically affects results. AI apps prescribe specific tempos for different phases of training, emphasizing muscle control during hypertrophy phases or explosive power during strength phases.

Range of Motion Optimization: Computer vision technology assesses whether you're moving through a full, safe range of motion. If your mobility limits certain exercises, the app modifies movements or adds mobility work to address restrictions.

Nutrition Integration for Complete Personalization

AI-Powered Meal Planning

The most sophisticated AI fitness apps recognize that training is only half the equation:

Caloric Requirements: Using your biometric data, activity levels, and goals, AI algorithms calculate your precise caloric needs. Unlike simple online calculators, these systems adjust recommendations based on your actual weight and performance changes, creating a feedback loop that ensures accuracy.

Macronutrient Ratios: The optimal balance of protein, carbohydrates, and fats varies based on training type, goals, and individual response. AI systems test different ratios and analyze your progress, converging on the macronutrient distribution that works best for your body.

Meal Timing: Nutrient timing around workouts can enhance performance and recovery. AI apps sync your training schedule with meal recommendations, suggesting what to eat before early morning workouts in Mumbai or how to fuel evening gym sessions in Pune.

Regional Food Databases: The best AI apps for Indian users include extensive databases of local foods, from idli and dosa to rajma chawal and paneer tikka. The system calculates nutritional values accurately while respecting cultural and regional food preferences.

Restaurant and Packaged Food Recognition: Using image recognition technology, you can photograph meals at restaurants or scan packaged food barcodes, and the AI instantly logs nutritional information and provides feedback on how the meal fits your daily targets.

Hydration and Supplement Guidance

Complete nutrition extends beyond meals:

Hydration Monitoring: Based on your workout intensity, local climate conditions (crucial during Indian summers), and individual sweat rates, AI apps calculate your hydration needs and send reminders throughout the day.

Supplement Recommendations: Rather than pushing expensive supplement stacks, quality AI apps analyze your diet for genuine nutritional gaps and suggest only evidence-based supplements when actually beneficial for your specific situation.

Sleep and Recovery Optimization

The Critical Role of Recovery

Elite athletes know that training is the stimulus, but recovery is where adaptation occurs:

Sleep Analysis: By integrating with sleep tracking devices or using phone sensors, AI apps monitor your sleep quality, duration, and phases. Poor sleep triggers workout modifications to prevent overtraining.

Recovery Scoring: Sophisticated algorithms combine multiple metrics—heart rate variability, resting heart rate, sleep quality, muscle soreness ratings, and mood assessments—into a single recovery score that determines your training readiness.

Active Recovery Prescription: On days when hard training isn't appropriate but complete rest isn't necessary, AI apps prescribe active recovery activities like gentle yoga, walking, or mobility work specifically chosen to enhance recovery without impeding adaptation.

Stress Management: Chronic stress impairs recovery and progress. AI fitness apps that integrate with stress monitoring features adjust training load during high-stress periods, preventing the compounding negative effects of life stress and training stress.

Mental Health and Motivation

Psychological Personalization

The best AI fitness apps understand that sustainable fitness is psychological as much as physical:

Motivation Profiling: Are you motivated by progress tracking, competitive challenges, social accountability, or personal records? AI systems identify your psychological drivers and structure the app experience accordingly. Users in Bangalore's tech community might respond to gamification and data visualization, while users elsewhere might prefer social features or achievement badges.

Adherence Prediction: Machine learning models can predict when you're at risk of dropping off your program based on behavioral patterns. The app intervenes with motivational messages, workout modifications, or goal reassessments before you quit.

Mental Health Integration: Progressive AI apps recognize the bidirectional relationship between mental and physical health. They ask about mood, stress, and mental well-being, adjusting programming when psychological factors might impair physical performance or benefit from exercise therapy.

Habit Formation: Using behavioral psychology principles, AI apps structure your early weeks to build sustainable exercise habits. The initial workouts might be shorter and easier than you could handle, because the algorithm prioritizes establishing consistency over maximizing immediate results.

Location-Based Personalization

Geography-Aware Programming

Your location significantly impacts optimal workout design:

Climate Adaptation: During Mumbai's humid monsoon months, outdoor running becomes challenging while Delhi's winter air quality might necessitate indoor cardio alternatives. AI apps monitor local weather and air quality indices, automatically suggesting appropriate workout modifications.

Altitude Considerations: Users in hill stations or high-altitude cities experience different physiological responses to exercise. AI systems adjust intensity expectations and recovery needs based on elevation data from your phone's GPS.

Daylight and Temperature: Summer heat in Indian cities requires different hydration strategies and workout timing than winter months. AI apps consider seasonal variations and local conditions when scheduling outdoor activities and calculating fluid needs.

Local Facility Access: The app learns what facilities you have access to in your area—gyms, parks, running tracks, swimming pools—and designs programming around your actual options rather than ideal scenarios.

Cultural and Social Factors: In areas where group fitness is popular, AI apps might emphasize programming compatible with group classes. In regions where home workouts are preferred, the focus shifts to equipment-free or minimal-equipment routines.

Equipment Optimization

Intelligent Resource Utilization

AI fitness apps excel at creating effective programs with whatever equipment you have:

Minimal Equipment Innovation: For users working out at home in cities like Pune with limited space, AI algorithms create highly effective programs using just bodyweight, resistance bands, and perhaps dumbbells, applying sophisticated programming techniques like tempo manipulation and exercise variations to provide adequate training stimulus.

Gym Equipment Mastery: When you have full gym access, the AI utilizes the complete range of equipment optimally, programming compound movements, isolation exercises, and specialized equipment to maximize results.

Progressive Equipment Acquisition: As you invest in home equipment, the AI seamlessly integrates new tools into your programming. Adding a kettlebell or pull-up bar triggers intelligent program updates that utilize these resources optimally.

Exercise Substitutions: If your gym's equipment is occupied or broken, the app suggests biomechanically equivalent alternatives that maintain your program's integrity without requiring you to understand exercise science.

Community and Social Features

AI-Enhanced Social Fitness

While personalization is individual, social connections enhance adherence:

Intelligent Matching: AI algorithms connect you with workout partners or accountability buddies who have compatible goals, schedules, and fitness levels in your geographic area, whether that's Mumbai, Pune, Delhi, or Bangalore.

Competition Calibration: The app creates competitions and challenges matched to your ability level, ensuring you're neither hopelessly outclassed nor winning without effort. This calibrated competition maintains motivation without discouragement.

Social Learning: When millions of users complete similar workouts, AI systems identify the approaches that work best. These insights refine everyone's programming, creating a continuously improving collective intelligence.

Privacy Balance: Advanced AI allows you to benefit from community data while maintaining personal privacy, sharing only what you choose while your individual workout details remain confidential.

Injury Prevention and Management

Proactive Health Protection

Preventing injuries is far superior to treating them:

Movement Screening: Initial assessments identify movement limitations or imbalances that could lead to injury. The AI prescribes corrective exercises while avoiding movements that might exacerbate existing issues.

Load Management: Sudden training spikes cause most injuries. AI algorithms prevent this by carefully regulating training load week-to-week, never increasing volume or intensity too rapidly even when you feel capable of more.

Fatigue Monitoring: Excessive fatigue impairs movement quality and increases injury risk. When the AI detects declining performance or inadequate recovery, it automatically reduces training load before injury occurs.

Pain Tracking: Regular check-ins about pain or discomfort allow the AI to identify problematic exercises and modify your program immediately, preventing minor issues from becoming serious injuries.

Return-to-Training Protocols: After injury, illness, or extended breaks, AI apps implement evidence-based return-to-training progressions, gradually rebuilding capacity rather than jumping back to pre-break levels.

Data Security and Privacy

Protecting Your Personal Information

Health and fitness data is deeply personal:

Encryption Standards: Reputable AI fitness apps use bank-level encryption to protect your data during transmission and storage, ensuring workout details, body measurements, and health information remain secure.

Data Ownership: Quality apps clearly state that you own your data and provide easy export options if you decide to switch platforms or discontinue use.

Transparent AI: The best apps explain how their AI works and what data factors into your recommendations, avoiding "black box" algorithms where decisions are opaque and unaccountable.

Third-Party Sharing: Clear, honest policies about whether and how your anonymized data might be used for research or product improvement, with opt-in rather than opt-out approaches.

Cost-Effectiveness Analysis

Value Proposition

Understanding the economics helps evaluate these apps:

Personal Trainer Comparison: In-person personal trainers in Indian cities typically charge ₹1,000-3,000 per session. If you train three times weekly, that's ₹12,000-36,000 monthly. Quality AI fitness apps cost ₹500-2,000 monthly, providing unlimited guidance at a fraction of the cost.

Gym Membership Addition: Many users combine AI app guidance with basic gym memberships, getting personalized programming while avoiding expensive boutique studios or premium gym chains.

Home Workout Savings: For users training at home, AI apps eliminate both gym membership and trainer costs while still providing expert-level programming, representing significant savings over traditional approaches.

Health Cost Prevention: The true economic value includes avoiding medical costs from chronic diseases that regular, well-programmed exercise prevents—diabetes management, cardiovascular issues, and joint problems all incur substantial lifetime costs.

Choosing the Right AI Fitness App

Evaluation Criteria

Not all AI fitness apps are created equal:

Algorithm Sophistication: Does the app truly use AI that learns and adapts, or is it just branching logic disguised as artificial intelligence? Look for apps that demonstrate continuous learning from your performance.

Exercise Database Quality: The app needs comprehensive exercise libraries with high-quality video demonstrations, detailed instructions, and modifications for different fitness levels and limitations.

Integration Capabilities: Quality apps connect with popular wearables and health platforms, creating a comprehensive ecosystem rather than data silos.

User Interface Design: Even sophisticated AI is useless if the app is difficult to navigate. The interface should be intuitive, visually appealing, and functional during workouts when you're focused on exercising rather than technology.

Customer Support: When questions arise or technical issues occur, responsive customer support distinguishes premium apps from mediocre ones.

Regional Relevance: For Indian users, apps that understand local contexts—food databases including regional cuisines, climate considerations, and cultural fitness preferences—provide superior experiences.

Success Stories and Real Results

Documented Transformations

The effectiveness of AI fitness apps is demonstrated through user results:

Weight Loss Success: Users consistently report losing 5-15 kg over 3-6 months when following AI-prescribed programs combined with nutrition guidance, with the advantage of sustainable approaches rather than crash diets that lead to rebound weight gain.

Strength Gains: Beginners typically increase their main lift numbers by 50-100% in their first six months using AI-optimized strength programs, while experienced lifters break through plateaus they'd struggled with for months using traditional programming.

Athletic Performance: Runners improve 5K times by 2-5 minutes, cyclists increase FTP by 10-20 watts, and athletes across disciplines achieve performance goals that seemed unreachable with generic training plans.

Injury Recovery: Users returning from injuries under AI guidance that accommodates limitations while maintaining fitness in unaffected areas report faster, more complete recoveries compared to completely stopping exercise during rehabilitation.

Adherence Rates: Perhaps most importantly, AI fitness apps demonstrate significantly higher long-term adherence rates than traditional programs, with users still actively training 6-12 months after starting at much higher rates than conventional approaches.

The Future of AI Fitness Technology

Emerging Innovations

The technology continues advancing rapidly:

Augmented Reality Integration: Future apps will overlay form corrections and rep counting directly onto your real-time camera view, creating immersive training experiences without bulky headsets.

Genetic Optimization: As genetic testing becomes more accessible and affordable, AI apps will incorporate genetic data about muscle fiber type distribution, recovery capacity, and nutrient metabolism to create truly personalized programs.

Emotional AI: Advanced emotion recognition technology will detect frustration, boredom, or anxiety during workouts, triggering real-time motivational interventions or program modifications.

Virtual Reality Workouts: As VR technology improves, AI will create personalized virtual training environments that make challenging workouts engaging and enjoyable, from boxing in virtual rings to cycling through spectacular landscapes.

Predictive Health Monitoring: Integration with advanced wearables will enable AI to detect early signs of illness, overtraining, or cardiovascular issues, potentially identifying health problems before they become serious.

Common Misconceptions About AI Fitness Apps

Separating Fact from Fiction

Misconception: AI apps are just for beginners or can't replace real personal trainers.

Reality: While AI apps are excellent for beginners, they're equally valuable for advanced athletes who need sophisticated periodization and continuous optimization. Olympic athletes and professional sports teams use AI training optimization tools.

Misconception: The AI will push you too hard and cause injury.

Reality: Quality AI fitness apps are actually more conservative than many human trainers or self-prescribed programs because they continuously monitor fatigue and recovery, implementing safeguards that prevent overtraining.

Misconception: You need expensive equipment for AI fitness apps to work.

Reality: The most sophisticated AI apps excel at creating effective programs with minimal equipment, often using bodyweight and basic tools more intelligently than people with full gym access but poor programming.

Misconception: AI fitness apps are one-size-fits-all despite claims of personalization.

Reality: While poor-quality apps might use superficial personalization, advanced AI fitness platforms create genuinely unique programs that would look completely different even for two users with similar demographics if their performance data, preferences, and goals differ.

Misconception: AI can't understand individual circumstances like stress, sleep issues, or emotional challenges.

Reality: Modern AI fitness apps integrate multiple data streams including stress levels, sleep quality, and even mood assessments, adjusting programming based on holistic understanding rather than just exercise performance.

Practical Tips for Maximizing AI App Effectiveness

Getting the Most from Your AI Trainer

Honest Input: The AI is only as good as the information you provide. Be truthful about your fitness level, limitations, and goals rather than overstating capabilities or setting unrealistic timelines.

Consistent Data Entry: Log every workout completely and accurately. Missing data means the AI makes decisions with incomplete information, reducing program effectiveness.

Regular Updates: As your circumstances change—new equipment, schedule modifications, evolving goals—update your app profile so the AI can adjust programming appropriately.

Trust the Process: Resist the temptation to constantly modify the program based on online advice or friend recommendations. Give the AI's programming adequate time to work before judging its effectiveness.

Use All Features: Many users ignore valuable features like form checking, nutrition guidance, or community support. Explore everything the app offers to maximize value and results.

Provide Feedback: When workouts feel too easy, too difficult, or simply wrong for you, provide feedback. The AI learns from your subjective experience combined with objective performance data.

Integration Maximization: Connect all relevant devices and apps—fitness trackers, smart scales, sleep monitors—to give the AI comprehensive data for decision-making.

Conclusion: The Personal Trainer in Your Pocket How AI Fitness Apps Create Personalized Workout Plans That Actually Work

AI fitness apps represent a paradigm shift in how people approach health and fitness. They democratize access to sophisticated training methodology that was previously available only to elite athletes with expensive coaching teams. Whether you're in Mumbai navigating monsoon workouts, in Pune seeking home training solutions, in Delhi managing extreme weather conditions, or in Bangalore looking for cutting-edge fitness technology, AI-powered apps provide genuinely personalized guidance that adapts continuously to your unique situation. How AI Fitness Apps Create Personalized Workout Plans That Actually Work

The technology behind these applications combines decades of exercise science with machine learning capabilities that analyze thousands of data points about your body, performance, and lifestyle. The result is programming that's simultaneously more sophisticated and more accessible than traditional approaches, creating workout plans that truly work because they're built specifically for you and evolve as you do.

As AI technology continues advancing, these apps will become even more powerful, incorporating new data sources, providing more detailed feedback, and creating increasingly precise programs. However, the core value proposition remains unchanged: effective, personalized fitness guidance that fits your life, respects your limitations, works toward your specific goals, and costs a fraction of traditional personal training.

The future of fitness isn't just digital—it's intelligent, adaptive, and personal. AI fitness apps that create workout plans which actually work aren't replacing human trainers entirely, but they're making expert-level programming accessible to everyone with a smartphone, transforming the landscape of health and wellness for millions of users worldwide.

Whether you're beginning your fitness journey or seeking to break through training plateaus, AI-powered fitness applications offer sophisticated, personalized solutions that adapt to your unique needs, creating programs that work because they're designed specifically for you, continuously refined by your performance, and built on the foundation of exercise science combined with cutting-edge technology.

The personal trainer in your pocket is ready when you are—no appointment necessary, infinitely patient, constantly learning, and dedicated entirely to your success.