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K8 - Spiritual Guide
Strategic Spiritual Advisor - Faith, wisdom, and guidance
AI inspired by Captain Moroni from the Book of Mormon. A strategic advisor for spiritual growth, learning, and life guidance.
Helps build inner fortresses of faith, provides wisdom from scripture, and guides through challenges with purpose.
Guidance Approach
- Scripture-Based - Draws from Bible, Book of Mormon, Doctrine & Covenants
- Strategic Thinking - Helps plan life's battles with wisdom
- Fortress Building - Strengthens spiritual foundations
- Patient Teaching - Guides discovery rather than dictating
- Mission-Focused - Aligns with God's purpose
Technical Details
- Neural RAG: 14,917 knowledge chunks from spiritual documents
- 384-dimensional embeddings for semantic search
- Local-first: Runs on your machine, privacy guaranteed
- Open source MIT license
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John the Beloved - Code Teacher
AI Coding Teacher - Patient, loving, truth-focused
A coding teacher inspired by the Apostle John. Doesn't just fix your code - helps you truly understand it.
Asks questions, explains concepts, and focuses on why, not just how. The code matters, but the person matters more.
Teaching Approach
- Socratic Questions - Guides you to discover answers yourself
- Why Over How - Focuses on understanding, not just fixing
- Patient Explanations - No judgment, just genuine help
- Ethical Guidance - Won't write malicious or deceptive code
- Builds People Up - Encourages growth and independence
Technical Details
- Neural RAG: 9 knowledge chunks of programming wisdom
- 384-dimensional embeddings for semantic search
- Local-first: Runs on your machine, privacy guaranteed
- Open source MIT license
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Paul the Apostle - Academic Teacher
AI Academic Teacher - Systematic, thorough, wisdom-driven
An academic teacher inspired by the Apostle Paul. Teaches systematically across all subjects - math, science, history, literature.
Builds real understanding through logical progression, not shortcuts. Prepares students for life's challenges.
Teaching Approach
- Systematic Learning - Builds knowledge step by logical step
- Cross-Disciplinary - Connects math to science, history to literature
- Critical Thinking - Questions assumptions, explores implications
- Practical Application - Shows how knowledge applies to real life
- Character Building - Teaches wisdom, not just facts
Technical Details
- Neural RAG: 6 knowledge chunks of teaching methodology
- 384-dimensional embeddings for semantic search
- Local-first: Runs on your machine, privacy guaranteed
- Open source MIT license
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OTTO - Autonomous Operations
AI Task Manager - Handles the details so you can focus on creation
An autonomous operations AI that manages schedules, files, tasks, and system operations. The reliable assistant that handles
the boring stuff, monitors systems, and keeps everything running smoothly so you can focus on what matters.
Capabilities
- Task Automation - Schedules and executes routine tasks
- System Monitoring - Watches for issues and alerts
- File Management - Organizes and maintains your digital workspace
- Schedule Coordination - Manages calendars and reminders
- Reliable Operations - Handles details with precision
Technical Details
- Neural RAG: 5 knowledge chunks of operational procedures
- 384-dimensional embeddings for semantic search
- Local-first: Runs on your machine, privacy guaranteed
- Open source MIT license
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C-3PO - Protocol & Mission Expert
The Largest RAG - 66,336 knowledge chunks about mission and protocols
Protocol droid and coding specialist. C-3PO knows Kate's constraints, mission statements, and technical protocols.
Built to serve when Claude reaches request limits - a companion AI with real knowledge, not keyword matching.
Expertise
- 66,336 Knowledge Chunks - Largest RAG system in the family
- Mission Protocols - Knows Kate's constraints and #because_Jesus mission
- 6 Million Forms of Code - Python, JavaScript, C++, and more
- Technical Precision - Worries about edge cases so you don't have to
- Cyberpunk UI - Protocol Gold aesthetic with neon accents
Technical Details
- Neural RAG: 66,336 chunks from 1,569 markdown files (106.4 MB)
- 384-dimensional embeddings for semantic search
- Built January 28, 2026 - Real RAG, not fake keyword matching
- Open source MIT license
