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Projects and systems I keep learning from.

Some are active, some are old, and some were mostly useful because they made a fuzzy problem easier to see. That is usually the pattern I care about.

  • 01

    Shaolin AI

    Built applied agent and function-calling projects for rapid AI product sprints: small working systems, clearer boundaries, and artifacts teams could inspect after the keynote glow wore off.

    shaolin.ai

  • 02

    The Anon

    A staffing search application over structured and unstructured people data. The useful part was turning fuzzy operator intent into inspectable retrieval and function-calling steps.

    case note

  • 03

    Smart Autofill

    A Chrome extension experiment for form filling with personal context: boring workflow pain, useful only if the model stays bounded and does not invent facts.

    github

  • 04

    Canvas File Sync

    A college Electron app that synced Canvas course files into Google Drive before that felt like an obvious thing software should already do.

    github

Drew Roysterdrew.royster@gmail.com
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