Personal Agent Supplement Pharmacokinetic Halflife Skill

Zero-dependency supplement pharmacokinetics modeler, elimination half-life decay tracker, competitive absorption conflict matrix evaluator, and optimal ingestion scheduler.

Architecture

flowchart TD
    OralDose[Compound Name, Dose mg, Elapsed Hours] --> PKModeler[One-Compartment Pharmacokinetic Modeler]
    PKModeler --> ActiveDose[Active Plasma Circulating Level mg]
    PKModeler --> WashoutCalc[95% Elimination & 99% Full Washout Latencies]
    RegimenStack[Daily Supplement Stack & Timestamps] --> InteractionEngine[Transporter Competition Matrix]
    InteractionEngine --> DMT1Filter[Divalent Cation Transporter Competition: Zn vs Fe vs Ca]
    InteractionEngine --> LipidCheck[Lipophilic Bioavailability Micelle Validation]
    InteractionEngine --> OptimizedSchedule[Staggered Chronobiological Regimen]

Quickstart

from client import PersonalAgentSupplementPharmacokineticHalflife

agent = PersonalAgentSupplementPharmacokineticHalflife()
res = agent.model_compound_clearance_curve(compound_name="caffeine", dose_mg=200.0, time_elapsed_hours=6.0)
print(f"Active Plasma Dose: {res['active_circulating_dose_mg']} mg | 95% Clear: {res['hours_until_95pct_clearance']} hrs")