Why I separated live discovery from the AI chat box

说明与用途

将实时发现与聊天界面分离，提高了数据新鲜度和错误可见性，使用户能够为每个任务选择合适的层。

问题

General AI chat boxes mix routine drafting with live discovery tasks, leading to stale or incorrect information about current topics and open‑source projects.

结果

Separating live discovery from the chat box improves data freshness, reduces misidentification of projects, and makes failure modes visible, enabling more reliable research workflows.

工作流

• 1. Use the workspace for everyday drafting and knowledge work.
• 2. Access Global Topic Radar to find current research-worthy topics with up‑to‑date evidence and sources.
• 3. Access Open‑Source AI Radar to compare active AI projects, view rankings, licenses, and repository links.
• 4. Run Topic Intelligence Skill to transform a Radar item into a structured content brief with research questions and verification flags.
• 5. Run AI Open Source Intelligence Skill to resolve project identity, examine licenses, build comparison matrices, and plan stacks under constraints.
• 6. Review the Skill outputs, verify must_verify items, and proceed with content creation.
• 7. Keep the final judgment and publishing decisions in the workspace.

证据

Both questions depend on live evidence. They also have different failure modes from ordinary drafting.

来源

The Radars are intentionally usable without signing in. A visitor can inspect the current data before deciding whether the workflow is useful.

来源