AI Workstation splits chat, live discovery, and agent skills into three layers

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A developer building AI Workstation found that questions requiring live data — such as trending topics or active open-source projects — did not fit well inside a general chat interface. This led to a three-layer architecture: a general workspace for everyday tasks, public discovery Radars for current evidence, and installable Agent Skills for structured follow-up. Two Radars were introduced — Global Topic Radar for content creators and Open-Source AI Radar for developers — each displaying sourced, dated information without overstating its reliability. Two open-source Agent Skills, Topic Intelligence and AI Open Source Intelligence, translate Radar findings into structured briefs covering research gaps, license checks, and project comparisons. The design philosophy centers on making model limitations visible by separating freshness, identity, and provenance checks into explicit, inspectable layers rather than burying them inside a single prompt.

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