As AI becomes more integrated into project work, I am seeing a growing challenge that is not only about generating content, but about making that content usable.
Today, tools such as ChatGPT, Claude, Gemini, Cursor, Lovable, V0 or Replit can help generate project-related artifacts very quickly:
- HTML pages
- dashboards
- prototypes
- interface mockups
- JSX / TSX components
- JavaScript / TypeScript snippets
- visual assets
- technical previews
- client-facing drafts
But once these files are generated, project teams often face a very practical question:
How do we open, review, validate, export and share these outputs efficiently?
In many project environments, the gap between “AI-generated output” and “usable project deliverable” is still too slow. Files are downloaded, stored locally, opened with different tools, converted manually, and then reshaped before they can be shared with stakeholders.
This is a small workflow pain, but it can become significant when teams need to move fast, keep deliverables clean, and maintain traceability.
I recently launched an iPhone and iPad app called React Asset Previewer to address part of this problem.
The app allows users to import JSX, TSX, HTML, HTM, JavaScript and TypeScript files, preview them locally, and export the rendered result to PDF.
It works locally on the device:
🔒 no account
📤 no file upload
☁️ no external backend
📱 files stay on the device
📄 PDF export available
My goal was to create a simple tool for consultants, project managers, product builders, developers and AI users who increasingly work with AI-generated technical or visual assets and need a faster path from generated file to reviewable deliverable.
I would be interested to hear from the PMI community:
How are you currently managing AI-generated artifacts in your projects?
Are you already integrating AI-generated prototypes, dashboards, mockups or technical assets into your project delivery workflows?
