Observed arrival · 2026-09-05
Tempo Turns Gameplay Into Evidence-Linked Coaching
An applied AI project that captures gameplay, parses visual events, builds a structured manifest, and uses it to explore traceable player coaching.
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Field notes
Tempo organizes gameplay analysis into four stages: capture, visual-event parsing, manifest construction, and coaching generation. The page describes a working perception pipeline and live event-stream demo, then presents an illustrative evidence-linked report rather than claiming a finished coaching product. Its technical framing names computer vision and PyTorch, while the source code remains private.
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○OpenPublic substance visible
✦PrettyNotable craft visible
●ProPolished or operationally mature
◎NicheUnusually specific use
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