
AI Health Coach
Track and optimize fitness, sleep, and nutritionBy Daniel MercerLength4h 42m
About this audiobook
You’ll use AI apps to turn fitness, sleep, and nutrition data into evidence-based coaching decisions, so you know what to do next and why. This book helps you build a repeatable system you can follow with less guesswork and fewer trial-and-error weeks.
⭐ What you get:
• Instant download (EPUB format)
• 18 chapters, ~146 pages
• Compatible with Kindle (via Send to Kindle), Apple Books, Kobo, Google Play Books, and any standard ereader
📖 About this book:
You’ll discover how to establish a fitness baseline, interpret wearable signals like steps, HRV, and sleep, and validate trends before you act on them. You’ll learn how to use AI-generated training plans to apply progressive overload safely, adjusting volume and intensity based on readiness signals. You’ll also find practical ways to connect nutrition and sleep habits to measurable outcomes, so your changes stick. By the end, you’ll have a clear coaching workflow you can reuse with clients.
👥 Perfect for:
• Health and wellness coaches helping clients improve fitness, sleep, and nutrition
• Evidence-based readers who want practical guidance, not vague wellness advice
• People using AI apps who want a reliable method to turn data into action
Audiobook details
GenreHealth and Wellness
Length4 hrs 42 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Introduction
51How to Set Your Protein Anchor with AI Estimates and Weight Trends
2Introduction
52Common Protein Target Mistakes (and the Fix)
3Fitness Baseline and Readiness Testing
53Closing: Your Protein Target Should Adapt, Not Drift
4Establishing Your Baseline-to-Boost Ladder (Fitness Metrics + Readiness Signals)
54Calorie Tracking with AI Photo Logging
5How Readiness Signals Really Work (And What to Track)
55How AI Meal Photo Logging Estimates Calories (and Why It Can Drift)
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6Practical Protocol: Your Metrics, Frequency, and Boost Milestones
56The Photo-Log Calibration Routine: Fixing Systematic Tracking Bias
7Common Mistakes That Ruin Readiness Testing (And Fixes)
57Troubleshooting: The 2 Most Common Photo-Logging Biases (and How to Fix Them)
8Closing: Turning Readiness Into a Decision You Can Trust
58Your Personal Plan: Calibrate Photo Logging for Your Real Meals (Bea’s Setup You Can Copy)
9Wearable Data: Steps, HRV, and Sleep
59Fiber Targets and Gut-Friendly Food Swaps
10Wearable Metrics That Actually Help: Steps, HRV, and Sleep (What They Mean for Real Coaching)
60Root Causes of Fiber Trouble (and What to Adjust First)
11The Tri-Signal Verification Model: Steps, HRV, and Sleep in One Decision Loop
61The Fiber Ladder Exchange: Safe, AI-Friendly Targets and Gut-Friendly Swaps
12A Two-Week Wearable Validation Protocol (With Timing, Progression, and What to Watch)
62Common Errors When Increasing Fiber (and How to Fix Them)
13Troubleshooting Wearable Data: When Steps, HRV, or Sleep Scores Don’t Make Sense
63Anti-Inflammatory Nutrition for Recovery
14Signs You’re Making Progress (Without Getting Caught in the Noise)
64Using the Inflammation Reduction Scorecard to Build Anti-Inflammatory Recovery Meals
15Progressive Overload with AI Training Plans
65Turning Your Plate Into Plain-Language Recovery: Omega-3s, Antioxidants, and Less Processed Food
16Building Progressive Overload with AI: The SMART Progression Loop
66Phased Protocol: How to Use AI to Build Anti-Inflammatory Meals (and Know When to Progress)
17Root Causes: Why AI Overload Plans Feel Too Hard (and How to Spot It Early)
67Common Setbacks (and What to Adjust Next)
18Evidence-Based Steps: How to Increase Volume or Intensity Using AI Safely
68Victor’s Recovery Plate: A Simple Week He Could Repeat
19Mistakes to Avoid: The Overload Traps AI Plans Can Encourage
69Hydration and Electrolyte Balance
20Strength Training: Rep Ranges and RIR Targets
70Hydration Heatmap: Prevent Performance Drops with AI Electrolyte Adjustments
21Rep Ranges + RIR: The RIR-Rep Targeting System (and why it works)
71How Hydration and Electrolytes Affect Your Performance (and Why AI Helps)
22How Your Body Responds to Rep Ranges and RIR (plain language, not medical jargon)
72Build Your Hydration Heatmap Plan (Timing, Amounts, and Progress)
23Phase Protocol: Set rep ranges + RIR targets and let AI guide course corrections
73Common Hydration Mistakes (and How to Fix Them Fast)
24Course Corrections: Fix what the AI feedback is really telling you
74Closing: Make Hydration Feel Predictable Again
25Your takeaway: Make effort repeatable, then let strength show up
75Sleep Apnea Screening with AI Symptom Logs
26Cardio Zone 2 for Aerobic Base
76How AI Symptom Logs Flag Sleep Apnea Risk (and What They Can’t Do)
27Zone 2 Compass: Your Aerobic Base, Built One Easy Session at a Time
77Your Personal Plan: The STOP-Breathe AI Triage Protocol (14 Days)
28How Zone 2 Builds Your Aerobic Engine (and Why It’s Not “Just Easy Cardio”)
78Troubleshooting Common Problems (So Your AI Log Is Actually Useful)
29The Zone 2 Compass Protocol: AI-Guided Targets, Session Minutes, and Progress Milestones
79Signs of Progress: What a Strong Sleep Apnea Risk Log Looks Like
30Common Zone 2 Mistakes (and How to Fix Them Without Overthinking)
80Stress Management: HRV-Informed Interventions
31Closing Thought: Your Aerobic Base Is Built by Repeating the Right Kind of Easy
81HRV as Your Stress “Weather Report” (and How the HRV Response Playbook Chooses Breathing, Movement, or Rest)
32Sleep Hygiene and Recovery Windows
82Root Causes and Context That Change What Your HRV Means
33Sleep Hygiene + Recovery Windows: What to Track, What to Change, What to Expect
83Evidence-Based Steps Using HRV Trends + AI Check-ins (Breathing, Movement, or Rest)
34Understanding Recovery Windows (and How AI Helps You Place Sleep Hygiene)
84Common Errors When Using HRV Trends to Choose Interventions
35Your Personal Plan: The Recovery Window Scheduler Protocol (Timing + Progression)
85Body Recomposition with AI Weekly Adjustments
36Troubleshooting: When Your Recovery Map Doesn’t Match Your Sleep (and How to Fix It)
86Using AI to balance calories and training variables for fat loss while maintaining muscle
37Signs of Progress (and How to Know You’re on Track)
87Plain-language biology: what fat loss and muscle support actually require
38Caffeine Timing and Withdrawal Management
88A phased AI weekly protocol for recomp balancing (with progression triggers + red flags)
39What “Caffeine Timing” Means for Sleep (and how the AI can help)
89Course corrections: what to do when recomp stalls or feels off
40Root Causes of Sleep Disruption From Caffeine (plus a risk map)
90Injury Prevention: Pain Signals and Load Modulation
41The Caffeine Cutoff Clock: Set cutoffs, then taper without wrecking your sleep
91Pain-to-Load Modulator: Using AI to Spot Patterns and Change Training Before Pain Becomes Injury
42Common Errors That Make Caffeine Timing Backfire
92How Pain Signals Turn into Load Decisions (Mechanisms, Causes, and Risk Factors)
43Meal Timing for Training and Recovery
93The Pain-to-Load Modulator Protocol: AI-Guided Load Changes That Keep You Training
44Meal timing around workouts: how Lena’s body “clocks in” hunger and recovery
94Common Mistakes That Break Pain-to-Load Modulation (And What to Do Instead)
45What changes in your body when you time meals near training
95AI Coaching Review: Weekly KPI and Next Steps
46The Training-Day Timing Protocol (Lena-style schedule + AI prompts)
96How the 7-Day KPI Coaching Loop turns app data into better weeks
47Common setbacks Lena-style (and how to adjust fast)
97Your personal 7-Day KPI Coaching Loop protocol (timing + progression)
48Closing: your training-day rhythm beats “perfect nutrition”
98Problem: Your week looks “busy,” but KPIs don’t move
49Protein Targets and Lean Mass Preservation
99Problem: Your AI guidance is generic, so your protocols don’t fit your life
50Protein Targets That Preserve Lean Mass (Protein Anchor Method)
100Final Thoughts