Why I separated live discovery from the AI chat box
Most AI workspaces start with the same useful primitive: a chat box. I kept one in AI Workstation because it is still the fastest interface for many research and writing tasks. But while using the product for day-to-day work, I found two questions that did not belong in a general chat flow: What current topic is worth researching today? Which open-source AI project is worth evaluating now? Both questions depend on live evidence. They also have different failure modes from ordinary drafting. A model can produce a fluent answer while using stale memory, mixing project identities, overlooking a license, or treating popularity as proof of quality. That led me to split AI Workstation into three layers: a general workspace, public discovery Radars, and installable Agent Skills. Layer 1: the workspace The main AI Workstation handles everyday knowledge work: questions, links, documents, images, drafting, proofreading, reusable templates, and exports. The point is not to hide every operation behind one large prompt. It is to keep routine work accessible while letting tasks that need current data move into a more explicit flow. Layer 2: public Radars for live discovery The first Radar is Global Topic Radar . It is designed for creators and editors who need current candidates rather than generic content ideas. It keeps the topic lane, freshness, market context, evidence state, and original sources visible. The second is Open-Source AI Radar . It is designed for developers and researchers comparing active AI projects. It presents dated rankings, categories, collections, and project cards with direct links to upstream repositories. Stars, forks, licenses, languages, and practical summaries are treated as research inputs. The important design choice is what the Radars do not claim: A topic score is not a prediction that a post will go viral. Project popularity is not a security audit or a quality guarantee. A generated summary does not replace the upstream repository or license t