AI Workstation
AI workspace, global topics, and open-source research
Start new thread

AI Workstation - AI workspace, global topics, and open-source research

by•
Write, research, and work with files in one multilingual AI workspace. Explore Global Topic Radar for current stories and original sources, or AI Open Source Radar for dated project rankings, collections, and repository links. Both Radars can be browsed without signing in or installing a Skill. Optional open-source Agent Skills add structured research workflows. Rankings are research leads, not promises of reach, quality, or safety.

Add a comment

Replies

Best
Maker
📌

I built AI Workstation as one product with three deliberately separate layers.

The workspace handles everyday material and expression: chat, links, documents, images, repeatable work templates, and export-oriented tasks. It is useful when the user already knows what needs to be understood or produced.

The two public Radars handle current discovery. Global Topic Radar surfaces dated topic candidates, editorial lanes, evidence states, and original sources. AI Open Source Radar shows projects through daily, weekly, monthly, breakout, category, collection, license, and upstream-repository views. Both can be explored without signing in.

The two open-source Agent Skills handle repeatable research contracts. Topic Intelligence turns a selected current topic into a brief with research questions, must_verify, avoid_claims, and visual requirements. AI Open Source Intelligence resolves project identity, checks license evidence, compares candidates, and plans constraint-aware stacks; it also exposes nine read-only MCP tools.

Try each layer directly:

AI Workstation —

Global Topic Radar —

AI Open Source Radar —

Topic Intelligence —

AI Open Source Intelligence —

The boundary matters more to me than claiming a one-click workflow. Topic rankings do not predict reach. Repository activity does not prove quality, safety, or production readiness. Model output does not replace original sources, licenses, or user judgment.

I would especially value feedback on three things: whether the workspace-to-Radar transition is clear, whether the evidence states are useful at a glance, and whether the Skill outputs expose enough of what still needs verification.

Disclosure: I built AI Workstation. AI assistance was used to refine this launch copy and gallery layout; every product claim, screenshot, and link was checked against the live product.