Custom meta-layer aggregates contexts and sorts tasks by priority
zakelfassi · x · 2026-08-21
Developer Zak El Fassi shared a personal project designed to solve multi-context decision overload. He likened the human bottleneck to GPU communication issues—too many contexts and decisions with zero bandwidth. He built a meta-layer running on a custom Tailscale server that continuously collects all open contexts requiring attention and sorts them into an inbox by priority. The result is a concise "here's what's actionable" output, avoiding verbose LLM-style language.
Related event: Developer Builds Centralized UI to Break Agent Bottlenecks(3 posts)→
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