Claude Pushes Dashboards; Use Workspaces Instead

The Dashboard Trap

Dylan Davis identifies a common pitfall where users ask Claude to automate a task or analyze data, and Claude responds with a polished dashboard, prototype, or app complete with charts, buttons, exports, shares, and settings. This seems ideal but incurs hidden costs in maintenance, sharing, and deployment. AI favors this because it is trained on codebases and prefers building things. The correct question is not "Can AI build this?" (usually yes) but "Where should this live?" Default to the simplest option among three locations.

Three Locations for AI Workflows

Workspaces in ChatGPT or Claude handle 85-90% of cases. Create a project for recurring, focused activities tied to a specific topic and task, such as "Acme client: writing follow-up emails after weekly meetings." Prime it with a system prompt for instructions and optional knowledge files like past meeting notes or emails for tone/context. Projects prime the AI contextually when opened.

Create a skill for portable tasks across chats, like branding guidelines (fonts, colors, spacing, logos) invoked in proposals or presentations. Limit to 15 distinct skills to avoid AI selecting the wrong one based on similar titles/descriptions; scale projects instead. In browser Claude, both available; ChatGPT browser only projects; desktop apps like Claude Co-Worker or Code Interpreter (from OpenAI) support both.

Views (5-10% of cases) render data via artifacts (Claude's split-screen previews, e.g., animated oil price charts) or live artifacts (Claude Co-Worker with data connectors to CRM/email/calendar for real-time updates, personal use only). Preferred: Prompt AI for standalone HTML dashboard, download to a shared folder (OneDrive, Dropbox, Google Drive), update periodically with new data via AI, auto-syncs for team access without hosting/logins/security/API costs.

Full applications (1% of cases) require self-hosting only if sharing publicly with logins for non-folder/AI-instance sharers. Avoid for non-technical users due to hosting, data storage/security, logins, and API token costs (usage-based, unlike subscription-baked AI in workspaces).

Decision Test

Apply this sequential test; stop at first yes:

• Is this a focused, recurring activity? Use project in ChatGPT/Claude.
• Does it apply across conversations/projects? Use skill.
• Does it need rendering/viewing? Solo: live artifact. Shared: HTML in shared folder.
• Do others need logins outside shared folders/AI instances? Build/deploy app.

Presentation with prompts: https://d-squared70.github.io/Claude-Makes-Dashboards-Too-Easy.-That-s-the-Problem./