✨ Welcome to a collection of entertaining, insightful, and occasionally ridiculous conversations with various AI agents. Each page features a different discussion that might make you think, laugh, or wonder what exactly we were thinking. Enjoy!
Welcome to my AI development hub, where I document my journey, experiments, and practical applications of artificial intelligence technologies. This section captures my experiences working with various AI models and frameworks, from large commercial LLMs to local deployments.
What You'll Find Here
This section covers my hands-on work with:
The pages in this section are continuously evolving as I explore new AI capabilities and applications.
- Large Language Models: Experiences with Claude, ChatGPT, and other commercial AI assistants
- Local LLM Deployments: Running open-source models on personal hardware
- Prompt Engineering: Techniques for crafting effective prompts
- AI Integration: Connecting AI with other tools and workflows
- Original Concepts: Documentation of my Nutshell Theory and other ideas
My AI Journey
My approach to AI is practical and incremental. Rather than chasing every new model or feature, I focus on:
- Sustainable Integration: Building AI into daily workflows in ways that provide lasting value
- Data-Driven Improvements: Making incremental changes based on collected data and observations
- Cross-System Applications: Finding ways to connect AI with existing tools and environments
I've found that AI tools shine brightest when they're part of a larger ecosystem, augmenting human capabilities rather than attempting to replace them entirely.
Featured Projects
Model Context Protocol (MCP)
A framework for connecting AI models with specialized services, allowing for enhanced capabilities and domain-specific integrations.
Digital Cortex
An experimental personal knowledge management system leveraging AI for improved information retrieval and connection-making.
Apple Shortcuts Integration
Custom shortcuts and automation leveraging AI capabilities for improved productivity on Apple devices.
Neo4j + LLM Integration
Experiments combining graph databases with language models for more contextual information management.
Getting Started
If you're new to this section, I recommend starting with:
- Claude - Overview of Anthropic's Claude and how I use it
- ChatGPT - My experiences with OpenAI's models
- Local LLM - Running models on your own hardware
Roadmap
As this section develops, I plan to add:
- Detailed documentation of my Nutshell Theory
- Comparative analyses of different AI models
- Step-by-step guides for setting up your own AI tools
- Case studies of specific AI applications
- Insights into prompt engineering techniques