I am building ProjectDepot.ai as a professional platform for AI workspaces rather than a generic prompt library.
Key elements: • Each listing is a persistent “project” that combines a system prompt with attached knowledge files. • The focus is on specific roles for professionals such as founders, lawyers, marketers, and engineers. • Workspaces are tagged for compatibility with major models such as ChatGPT, Claude, Gemini, and others.
To motivate experts to contribute their best setups, the platform offers: • Backlinks and profile exposure for the creator. • The ability to treat the workspace as a free sample that leads to a course, product, or service. • Status through visible contributor badges and category leaderboards.
I would value feedback from people actively building applied AI systems. Does this solve a real gap you see between base models and domain specific workflows, and what would you want to see before contributing or using these workspaces?
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