Track academic papers, textbook chapters, and articles. Log notes and maintain a reading bibliography.
The prompt
Copy this prompt and paste it into Claude, Cursor, ChatGPT, Codex, or any AI tool connected to Hatchable via MCP.
Build an academic reading tracker. Users sign up and add reading items: title, author(s), type (Paper, Textbook Chapter, Article, Report), source/journal, URL or DOI, and class/project association. Mark items as: To Read, In Progress, or Completed. For completed items, add a summary note and a usefulness rating (1-5). The dashboard shows: items by status, recently completed with notes, and items organized by class/project. Include a search across all items. Add a bibliography generator that formats completed items in APA, MLA, or Chicago style. Include a tag system for topics. Academic, research-focused design. Deploy it on Hatchable when done.
How to use this template
Connect Hatchable to your AI tool
Add Hatchable as an MCP server in your AI tool of choice. You'll need your API key from Console → Settings. See our setup guides for Claude Code, Cursor, or Codex.
Copy the prompt and paste it
Hit the Copy button above, switch to your AI tool, and paste. The prompt is written to produce a complete, deployable app using Hatchable's platform features.
Your AI builds and deploys it
Your AI writes the code, creates a project on Hatchable, and deploys it. You'll get a live URL you can share immediately — no server setup, no billing.
Customize it
After the initial build, try asking your AI to add any of these:
Add a citation manager that generates formatted citations
Include a reading schedule with due dates
Add a highlight and annotation system for key passages
Include a literature review matrix builder
Build this app for free
Sign up, grab your API key, and paste this prompt into your AI tool.