Hi, I’m Wyatt. I build open-source infrastructure for people working at the boundary of AI, data, automation, and software engineering.

The common thread across my work is turning fragile, high-leverage workflows into reusable systems. That might become a dataset, a pipeline, an MCP server, an agent skill pack, a CLI, a docs site, or a local-first tool. The form changes; the goal stays the same: make useful technical work easier to inspect, run, adapt, and trust.

My projects usually fall into a few buckets:

• AI systems and agent tooling: portable skills, MCP servers, context conventions, prompts, and harnesses for AI-assisted development.
• Data infrastructure: reproducible pipelines, schemas, public datasets, lineage, and analytics workflows.
• Developer utilities: small tools that remove friction from scraping, research, media workflows, repository analysis, and local automation.
• Documentation as infrastructure: guides, examples, generated references, architecture notes, and playgrounds that make projects more usable.

I care about the parts of open source that make software durable: clear interfaces, typed models, tests, docs, packaging, compatibility, security posture, and boring reliability.

Sponsorship helps me spend more focused time on that maintenance layer. It supports bug fixes, docs, examples, tests, releases, dependency updates, hosting, data-processing costs, and the work of turning experiments into tools other people can build on.

For individuals, sponsorship is a way to support independent open-source work that has helped you learn, automate, analyze, or build faster.

For companies, sponsorship supports the public infrastructure and patterns your team can reuse instead of rebuilding internally.

Thanks for helping keep this work public, practical, and maintained.