{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_burnbacon","slug":"burnbacon","name":"BurnBacon","type":"product","url":"https://burnbacon.com","page_url":"https://unfragile.ai/burnbacon","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_burnbacon__cap_0","uri":"capability://planning.reasoning.ai.driven.personalized.workout.plan.generation","name":"ai-driven personalized workout plan generation","description":"Generates customized exercise routines by processing user input data (fitness level, goals, available equipment, time constraints) through an LLM-based planning engine that decomposes fitness objectives into weekly workout schedules with specific exercises, rep ranges, and rest periods. The system uses constraint-satisfaction reasoning to balance progressive overload principles with user availability and equipment limitations, producing structured workout plans that differ from generic templates by incorporating individual baseline metrics.","intents":["I need a workout plan tailored to my current fitness level without hiring a personal trainer","I want exercise recommendations that adapt to the equipment I have available at home","I need a structured plan that progresses over time based on my stated fitness goals"],"best_for":["Budget-conscious fitness enthusiasts aged 18-45 seeking personalized training without human coach overhead","Self-motivated individuals who can self-assess fitness level and commit to structured programs","Users with clear, measurable fitness goals (weight loss, muscle gain, endurance) rather than vague wellness intentions"],"limitations":["No real-time form correction or injury prevention — relies entirely on user self-assessment of exercise execution quality","Initial plan quality depends heavily on accuracy of user-provided baseline metrics; garbage-in-garbage-out problem if users misrepresent fitness level","Cannot account for undiagnosed injuries, mobility restrictions, or contraindications that a human trainer would identify through observation","Generates static weekly plans rather than truly adaptive real-time adjustments during workout sessions"],"requires":["User account with BurnBacon platform","Initial fitness assessment questionnaire completion (estimated 5-10 minutes)","Basic fitness knowledge to accurately self-assess current level (beginner/intermediate/advanced)","Access to equipment specified in generated plan or willingness to request modifications"],"input_types":["structured questionnaire responses (fitness level, goals, available equipment, weekly time commitment)","text descriptions of fitness objectives","numeric data (age, weight, current strength benchmarks)"],"output_types":["structured workout plan (JSON or formatted text with exercise name, sets, reps, rest periods)","weekly schedule with day-by-day exercise assignments","exercise descriptions with form cues (text-based, not video)"],"categories":["planning-reasoning","fitness-personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_burnbacon__cap_1","uri":"capability://planning.reasoning.adaptive.workout.intensity.and.exercise.substitution.based.on.user.feedback","name":"adaptive workout intensity and exercise substitution based on user feedback","description":"Monitors user-reported workout completion data (exercises performed, actual reps/sets completed vs. planned, perceived difficulty ratings) and uses feedback loops to adjust subsequent workout prescriptions. The system applies heuristic rules or lightweight ML models to detect when users are consistently underperforming (indicating plan is too hard) or overperforming (indicating insufficient progressive challenge), then modifies exercise selection, rep ranges, or intensity metrics in the next training cycle. Substitutions are drawn from a curated exercise database indexed by muscle group, equipment requirements, and difficulty tier.","intents":["I want my workout plan to get harder as I get stronger, not stay static","I need alternative exercises when the prescribed ones are too difficult or I don't have the equipment","I want the system to notice when I'm struggling and dial back intensity before I get injured"],"best_for":["Users who consistently log workout completion and provide honest difficulty feedback","Fitness enthusiasts progressing from beginner to intermediate levels who need structured progression","Users with variable equipment access who need frequent exercise substitutions"],"limitations":["Adaptation quality depends entirely on user logging accuracy and honesty — no sensor data or wearable integration to verify actual performance","Feedback loops operate on weekly or multi-week cycles, not real-time during-workout adjustments like a human trainer would provide","Exercise substitution database may be limited in breadth; niche exercises or equipment-specific movements may not have suitable alternatives","Cannot detect form degradation or injury risk from user feedback alone; relies on user self-reporting of pain or discomfort"],"requires":["User completion of post-workout logging (exercise name, actual reps/sets, difficulty rating on 1-10 scale)","At least 2-3 weeks of workout history to establish baseline performance patterns before meaningful adaptations occur","Curated exercise database with metadata (muscle groups, equipment, difficulty tier, substitution relationships)"],"input_types":["structured workout completion logs (exercise name, sets, reps, perceived difficulty 1-10)","user-reported pain or discomfort indicators","equipment availability changes"],"output_types":["modified workout plan with adjusted rep ranges or intensity","substitute exercise recommendations with rationale","progression indicators (e.g., 'ready to increase weight by 5 lbs')"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_burnbacon__cap_2","uri":"capability://planning.reasoning.integrated.nutrition.and.exercise.recommendation.synthesis","name":"integrated nutrition and exercise recommendation synthesis","description":"Combines workout plan generation with nutritional guidance by processing user goals, dietary preferences, and caloric expenditure estimates from exercise plans to produce coordinated recommendations. The system likely uses calorie balance calculations (TDEE estimation based on activity level from workout plan + user metrics) and macronutrient targeting (protein for muscle gain, carbs for endurance, etc.) to generate meal suggestions or dietary guidelines that complement the exercise regimen. Recommendations are presented as a unified fitness strategy rather than isolated exercise and nutrition modules.","intents":["I want exercise and nutrition recommendations that work together toward my goal, not separately","I need to understand how many calories my workout plan burns and how to eat to support my fitness goals","I want meal suggestions that align with my workout schedule and dietary preferences"],"best_for":["Users with clear body composition goals (weight loss, muscle gain) where nutrition is critical to success","Individuals seeking holistic fitness guidance without hiring separate nutritionists and trainers","Users willing to log dietary intake or accept general meal suggestions without detailed tracking"],"limitations":["Nutrition recommendations are generic macronutrient targets, not personalized meal plans — requires user to translate targets into actual food choices","No integration with food logging apps or nutrition tracking platforms; users must manually correlate recommendations with actual intake","Cannot account for food allergies, intolerances, or cultural dietary restrictions unless explicitly stated in user profile","Caloric expenditure estimates from workouts are rough approximations; actual TDEE varies significantly by metabolism, age, and body composition","No medical or registered dietitian oversight — recommendations may be inappropriate for users with metabolic disorders or medical conditions"],"requires":["User dietary preferences and restrictions (vegetarian, vegan, gluten-free, etc.)","Caloric expenditure data from generated workout plan","User-stated fitness goal with measurable target (e.g., 'lose 10 lbs in 12 weeks')","Optional: current dietary habits or food preferences for personalization"],"input_types":["user fitness goal and timeline","dietary preferences and restrictions","workout plan with exercise volume and estimated caloric burn","optional: current body metrics (weight, body fat %, muscle mass)"],"output_types":["daily or weekly caloric targets","macronutrient targets (protein, carbs, fat in grams or percentages)","meal suggestions or food category recommendations","timing guidance (pre/post-workout nutrition)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_burnbacon__cap_3","uri":"capability://data.processing.analysis.progress.tracking.and.analytics.dashboard","name":"progress tracking and analytics dashboard","description":"Aggregates user workout completion data, body metrics (weight, measurements, photos), and performance benchmarks (strength gains, endurance improvements) into a visual dashboard that displays progress toward fitness goals over time. The system likely calculates derived metrics (weekly average workout adherence %, strength progression rate, estimated time-to-goal based on current trajectory) and visualizes trends through charts and summary cards. This capability enables users to see whether their current plan is working and identify stagnation or rapid progress patterns.","intents":["I want to see if my workouts are actually moving me toward my goal","I need to track my strength gains and body composition changes over weeks and months","I want to know if I'm on pace to hit my fitness goal by my target date"],"best_for":["Data-driven fitness enthusiasts who are motivated by quantified progress metrics","Users with long-term fitness goals (12+ weeks) who need to monitor trajectory and adjust plans","Individuals who benefit from visual feedback and trend analysis to maintain motivation"],"limitations":["Analytics quality depends entirely on consistency and accuracy of user-logged data; missing or inaccurate logs produce misleading trends","Body composition tracking (muscle vs. fat loss) requires advanced metrics (DEXA, bioimpedance) that most users don't have; weight alone is a crude proxy","Trend analysis requires minimum 4-8 weeks of data to be statistically meaningful; early-stage users see noisy, unreliable projections","Estimated time-to-goal calculations assume linear progress, which is unrealistic for fitness (plateaus, deloads, injury recovery)","Advanced analytics features likely behind paywall in freemium model, limiting free-tier users to basic progress visualization"],"requires":["Consistent user logging of workouts (exercises, sets, reps, weight used)","Periodic body metric updates (weight, optional: measurements, body fat %, photos)","Minimum 2-4 weeks of logged data for meaningful trend analysis","Clear fitness goal with measurable target and timeline"],"input_types":["workout completion logs with performance data (weight lifted, reps, sets)","body metrics (weight, measurements, body fat %, progress photos)","user-reported subjective metrics (energy level, sleep quality, soreness)"],"output_types":["progress dashboard with charts (weight trend, strength progression, workout adherence)","summary cards (total workouts completed, average adherence %, estimated time-to-goal)","performance benchmarks (personal records, strength gains over time)","trend analysis and alerts (e.g., 'no progress in 3 weeks, consider plan adjustment')"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_burnbacon__cap_4","uri":"capability://automation.workflow.freemium.access.tier.with.premium.feature.gating","name":"freemium access tier with premium feature gating","description":"Implements a freemium business model where core workout plan generation and basic progress tracking are available to free users, while advanced features (detailed analytics, specialized workout splits, nutrition meal planning, priority support) are restricted to paid premium subscribers. The system uses account-level feature flags or subscription status checks to control access to premium capabilities, likely with upsell prompts or feature preview screens that encourage free users to upgrade when they encounter paywalls.","intents":["I want to try personalized AI fitness planning without paying upfront","I need basic workout plans and progress tracking without premium features","I'm willing to pay for advanced analytics and specialized training programs"],"best_for":["Fitness beginners exploring personalized training who want low-risk entry","Budget-conscious users who can get value from basic plans without premium features","Users willing to upgrade when they outgrow free tier capabilities"],"limitations":["Free tier likely provides generic or limited workout plan variety; specialized splits (powerlifting, hypertrophy, endurance) probably premium-only","Advanced progress analytics (body composition tracking, detailed strength progression, time-to-goal estimates) likely behind paywall","Nutrition recommendations may be limited to basic macronutrient targets in free tier; detailed meal planning premium-only","Premium features create artificial scarcity and may frustrate users who feel free tier is intentionally limited","Conversion funnel depends on effective upsell messaging; poor messaging results in low premium adoption"],"requires":["Free user account creation with email or social login","Optional: payment method on file for premium subscription (if user chooses to upgrade)","Subscription status tracking and feature flag system in application architecture"],"input_types":["user account creation data (email, password or OAuth token)","subscription status (free or premium tier)","feature access requests"],"output_types":["feature availability status (enabled/disabled based on subscription)","upsell prompts and paywall screens for premium features","subscription management interface (upgrade, downgrade, cancel)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_burnbacon__cap_5","uri":"capability://data.processing.analysis.user.fitness.level.self.assessment.and.baseline.metric.collection","name":"user fitness level self-assessment and baseline metric collection","description":"Guides users through a structured questionnaire that captures baseline fitness data (current strength benchmarks, cardiovascular fitness level, mobility limitations, available equipment, weekly time commitment, specific goals) and self-assessed fitness level (beginner/intermediate/advanced). The system uses this data to establish initial constraints for workout plan generation and to calibrate exercise difficulty, rep ranges, and progression rates. Assessment results are stored as user profile data that persists across sessions and informs all subsequent plan generation and adaptation.","intents":["I need to accurately communicate my current fitness level so the AI generates appropriate plans","I want to specify my available equipment and time commitment upfront","I need to document any mobility limitations or injuries that should influence my workout plan"],"best_for":["Fitness beginners who need structured guidance on self-assessing their fitness level","Users with specific constraints (limited equipment, time, mobility issues) that must be captured upfront","Individuals who benefit from a one-time comprehensive assessment rather than piecemeal data entry"],"limitations":["Assessment accuracy depends entirely on user honesty and self-awareness; users often overestimate fitness level or underestimate limitations","Questionnaire cannot detect undiagnosed injuries, mobility restrictions, or contraindications that a human trainer would identify through observation","Baseline strength benchmarks (e.g., '1RM bench press') require user to have tested these metrics; many beginners haven't and must estimate","Assessment is static (one-time) rather than continuous; users must manually update profile if circumstances change (new equipment, injury, time availability)","No video form check or movement screening; relies entirely on user self-report"],"requires":["User account creation","15-30 minutes to complete comprehensive fitness assessment questionnaire","Honest self-assessment of current fitness level and limitations","Optional: access to equipment or gym to test baseline strength benchmarks"],"input_types":["structured questionnaire responses (fitness level, goals, equipment, time commitment)","text descriptions of mobility limitations or injuries","numeric baseline metrics (current strength benchmarks, body weight, age)"],"output_types":["user fitness profile with baseline metrics and constraints","difficulty tier assignment (beginner/intermediate/advanced)","equipment and time availability constraints","mobility or injury considerations for plan generation"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["User account with BurnBacon platform","Initial fitness assessment questionnaire completion (estimated 5-10 minutes)","Basic fitness knowledge to accurately self-assess current level (beginner/intermediate/advanced)","Access to equipment specified in generated plan or willingness to request modifications","User completion of post-workout logging (exercise name, actual reps/sets, difficulty rating on 1-10 scale)","At least 2-3 weeks of workout history to establish baseline performance patterns before meaningful adaptations occur","Curated exercise database with metadata (muscle groups, equipment, difficulty tier, substitution relationships)","User dietary preferences and restrictions (vegetarian, vegan, gluten-free, etc.)","Caloric expenditure data from generated workout plan","User-stated fitness goal with measurable target (e.g., 'lose 10 lbs in 12 weeks')"],"failure_modes":["No real-time form correction or injury prevention — relies entirely on user self-assessment of exercise execution quality","Initial plan quality depends heavily on accuracy of user-provided baseline metrics; garbage-in-garbage-out problem if users misrepresent fitness level","Cannot account for undiagnosed injuries, mobility restrictions, or contraindications that a human trainer would identify through observation","Generates static weekly plans rather than truly adaptive real-time adjustments during workout sessions","Adaptation quality depends entirely on user logging accuracy and honesty — no sensor data or wearable integration to verify actual performance","Feedback loops operate on weekly or multi-week cycles, not real-time during-workout adjustments like a human trainer would provide","Exercise substitution database may be limited in breadth; niche exercises or equipment-specific movements may not have suitable alternatives","Cannot detect form degradation or injury risk from user feedback alone; relies on user self-reporting of pain or discomfort","Nutrition recommendations are generic macronutrient targets, not personalized meal plans — requires user to translate targets into actual food choices","No integration with food logging apps or nutrition tracking platforms; 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