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Preisser Solutions
LabsLAB

A fitness and nutrition plan built from your actual data — not a generic program.

An AI agent that ingests body composition measurements, reviews current exercise and nutrition research, and generates a fully personalized lifting regimen, nutrition plan, and weight-loss strategy tailored to the individual's specific numbers.

05 INPUTS04 OUTPUTS06 CAPABILITIES05 TECH

Generic fitness programs don't work as well as individualized ones because they can't account for the specific variables that actually drive outcomes: starting body composition, metabolic factors, training history, and the specific research findings most applicable to that individual's profile. Building a truly personalized program manually requires time and expertise that most people don't have access to.

The Personalized Fitness and Wellness Agent starts with the individual's body composition data — weight, body fat percentage, lean mass, measurements — and supplements that with current research on training protocols, nutrition science, and weight-loss methodology. From that combined input, it produces three coordinated outputs: a lifting regimen with progression structure, a nutrition plan with macronutrient targets and timing, and a weight-loss strategy with expected trajectory.

The agent demonstrates what AI personalization-at-scale can produce in any domain requiring individualized recommendations. The same framework that reads body composition data and generates fitness recommendations can be reconfigured for any input-to-recommendation workflow — client onboarding, product matching, service customization.

Currently a working proof-of-concept built for personal use; productizing on request.

Capabilities

  1. 01

    Body composition data analysis

    Ingests weight, body fat percentage, lean mass, and measurement data to establish the individual's baseline and inform program design.

  2. 02

    Current research integration

    Pulls and synthesizes current exercise science and nutrition research applicable to the individual's profile — not generic advice, but research-grounded guidance.

  3. 03

    Personalized lifting regimen generation

    Produces a structured lifting program with exercise selection, volume, frequency, and progression logic tailored to the individual's goals and starting point.

  4. 04

    Macronutrient and nutrition planning

    Generates caloric targets, macronutrient ratios, and meal timing guidance calibrated to the individual's body composition, training load, and weight-loss objective.

  5. 05

    Weight-loss trajectory modeling

    Projects expected weight and body composition change over time under the recommended program, giving the individual a realistic timeline rather than a generic promise.

  6. 06

    Adaptable personalization framework

    The underlying framework — ingest individual data, harvest relevant research, generate personalized recommendations — is extensible to any domain requiring scaled individualization.

How it works

  1. 01

    Data intake

    The individual inputs body composition measurements, training history, goals, dietary preferences, and schedule constraints through a structured intake form.

  2. 02

    Research synthesis

    The agent reviews current exercise science and nutrition research applicable to the individual's profile and goals, identifying the protocols with the strongest evidence basis.

  3. 03

    Program generation

    A lifting regimen, nutrition plan, and weight-loss strategy are generated together as a coordinated program — each element calibrated to the individual's specific data.

  4. 04

    Trajectory modeling

    Expected body composition change is projected over the program timeframe based on the individual's starting point and the recommended caloric deficit or surplus.

  5. 05

    Output delivery

    The complete program is delivered in a structured format with supporting research citations so the individual understands the rationale behind each recommendation.

Inputs & Outputs

What it takes in

  • Body composition measurements (weight, body fat %, lean mass)Manual entry / structured form
  • Training history and current fitness levelQuestionnaire / structured intake
  • Goals (weight loss, muscle gain, performance)Structured intake
  • Dietary preferences and restrictionsStructured intake
  • Available training schedule and equipmentStructured intake

What it sends out

  • Personalized lifting program with progression structureStructured document / PDF
  • Nutrition plan with caloric and macronutrient targetsStructured document / PDF
  • Weight-loss strategy with trajectory projectionStructured document
  • Research citations supporting key recommendationsAppended references

Use cases

  • Use this when you want a fitness and nutrition program built from your actual body composition numbers rather than a generic 12-week template.

  • Use this when you want research-backed recommendations rather than fitness influencer protocols — evidence-grounded guidance for your specific profile.

  • Use this as a demonstration of the AI personalization-at-scale pattern — showing what individualized recommendations look like when produced by an AI agent rather than a human consultant.

  • Use this when you're evaluating whether the personalization framework could apply to your own domain — client onboarding, product matching, or service customization at scale.

Want this personalization framework for your domain?

Preisser Solutions can scope a production version of the fitness wellness agent or adapt the same personalization framework to your specific recommendation use case.

Discuss productizing this