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Writing and projects

AI tooling, Apple Silicon ML, multi-agent systems, and developer infrastructure.

Latest posts

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  • Design test — Typography, components, and patterns
    Visual reference for type scale, callouts, dense data tables, data cards, bento grids, forms, and all markdown elements.
  • Site Launch
    What this site is and what's coming.
  • Hybrid UI Detection: Why We Split Vision and Intelligence
    uitag combines Apple Vision's text detection with a fine-tuned YOLO model to hit 90.8% coverage on ScreenSpot-Pro — faster and cheaper than VLM-only approaches.
  • Benchmarking UI Detection on ScreenSpot-Pro
    How we evaluated uitag against 1,581 annotations across 26 professional macOS applications — methodology, results, and what the numbers actually mean.
  • Why Detection and Intelligence Should Be Separate Layers
    The architectural argument for splitting UI perception from UI reasoning — and what happens when you don't.

Recent projects

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  • uitag
    Hybrid UI detection for macOS — makes screenshots machine-readable with bounding boxes, labels, and coordinates in ~1 second, on-device.
  • Interagent Protocol
    Governed coordination protocol for multi-agent LLM systems where the human operator is the routing authority, not a bottleneck to be automated away.
  • vLLM-MLX Fork
    Apple Silicon backend for local multimodal inference — evidence-backed VLM serving with compatibility matrices and benchmark data.
  • OPERATOR.md
    A specification for human-operator context files in multi-agent development environments — the missing counterpart to CLAUDE.md and AGENTS.md.
  • Metacognitive Memory System
    Shared, trustworthy memory for a multi-agent ecosystem — any agent on any CLI can recall, build on, and assess confidence in prior work across session and project boundaries.
  • Semachat
    Semantic chat interface that structures conversations into retrievable, relationship-aware knowledge rather than flat transcript logs.

Connect

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  • swaylenhayes@gmail.com
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