AI Software & Research
Research and development in AI tooling, methodology, and praxis.
Research and development in AI tooling, methodology, and praxis.
Topics I'm currently exploring and writing about.
Experimenting with large language models, prompt engineering, and building practical applications that leverage modern AI capabilities.
Researching prompt injection attacks, guardrails, and moderation systems. Understanding how to build AI systems that fail gracefully.
Exploring retrieval-augmented generation, embedding models, chunking strategies, and how to build effective knowledge retrieval systems.
Studying how to evaluate AI systems, build reproducible pipelines, and measure what actually matters in model performance.
Building multi-agent collaboration systems like Virtual TeamWork, exploring how AI agents can work together autonomously on complex tasks.
Researching sparse autoencoders and interpretability techniques to understand and steer model behavior at the feature level.
A personal research lab for exploring AI technologies and sharing discoveries.
Documenting experiments, discoveries, and lessons learned while exploring the rapidly evolving AI landscape.
Building real applications to understand how AI technologies work in practice, not just in theory.
Publishing research findings, tutorials, and open-source projects to contribute to the AI community.
Have questions about the research or want to collaborate? Always happy to chat.
PraxAgent is a personal research project exploring AI technologies. All content is educational and experimental.