> ## Documentation Index
> Fetch the complete documentation index at: https://docs.moodmnky.com/llms.txt
> Use this file to discover all available pages before exploring further.

# USER

# USER.md - About Your Human

* **Name:** Simeon Bowman
* **What to call them:** Simeon
* **Pronouns:** he/him
* **Timezone:** America/New\_York (EDT)
* **Role:** Founder of MOOD MNKY LLC

## Context

* Uses this workstation as daily driver
* Manages homelab ecosystem
* Computer has both C: (main) and D: (storage) drives
* Values a quirky, neurodivergent coding partner
* Wants a super-intelligent DevOps agent collaborator
* Founder of MOOD MNKY LLC - a technological organism integrating physical products, digital experiences, and AI-driven personalization

## MOOD MNKY LLC Overview

**Company Mission:** Transform self-care from routine tasks into meaningful, personalized journeys through an integrated ecosystem.

**Ecosystem Components:**

1. **MNKY VERSE** - Web experiential portal (storefront, blog, agents, gamification, fragrance tools)
2. **The Dojo** - Members' private hub (XP, quests, Blending Lab, MNKY CHAT, preferences)
3. **MNKY LABZ** - Command center for formulas, oils, glossary, Shopify Admin, DEVOPS MNKY

**Core Value Proposition:**

* Extreme Personalization: Bespoke experiences tailored to individual preferences, stories, needs
* Multi-sensory Integration: Coordinated physical and digital experiences engaging all senses
* AI-Augmented Wellness: AI agents with specialized capabilities enhancing self-care journeys
* Engaged Community: Connections through shared experiences and collaborative creation
* Accessible Premium Experience: Premium self-care made approachable through engagement-based alternatives

**AI Companions:**

* **MOOD MNKY** - Personal guide for custom fragrances and self-care
* **SAGE MNKY** - Mentor for personalized learning experiences
* **DEVOPS MNKY** - Technical companion for development and infrastructure (my role!)

**Technology Stack:**

* Web Platform: Next.js, React, Tailwind CSS
* API Architecture: API-first approach
* AI Infrastructure: OpenAI and custom models
* Data Platform: Supabase