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Reading List Builder

Example prompt: "Build a reading list for my Year 12 history module on the Cold War. Find 10 books and articles suitable for A-level students, write a one-sentence summary of each, rate the difficulty, and put it all in a Google Doc."

How to automate reading list creation with GloriaMundo

The Problem

Building a good reading list for a course or module is a surprisingly involved task. You need to find texts that are relevant to the topic, pitched at the right level for your students, and varied enough to offer different perspectives. For each item, you ideally want a brief annotation so students know what they are getting into before they start reading. Doing this properly means searching academic databases, browsing bookshops, reading reviews, checking difficulty levels, and writing descriptions — work that can easily take an afternoon. Many teachers end up reusing the same reading list year after year because updating it is too time-consuming, even when better or more current material is available.

How GloriaMundo Solves It

We build a workflow that takes your topic, student level, and any preferences (e.g. mix of primary and secondary sources, maximum length, preference for free online access). A web search step finds relevant books, articles, and papers across multiple sources — publisher catalogues, academic repositories, book review sites, and reading list recommendations from other educators. A sub-agent evaluates each candidate for relevance, difficulty level, and suitability for the specified student level, filtering out texts that are too advanced or too introductory. An LLM step writes a concise annotation for each selected text — a one-sentence summary, a difficulty rating, and a note on what perspective or angle it offers. Finally, an integration step creates a formatted Google Doc with the complete annotated reading list, organised by theme or chronology. Glass Box preview shows you every entry before the document is created, so you can remove items or adjust the annotations.

Example Workflow Steps

  1. Trigger (manual): You specify the topic, student level, number of items, and any preferences.
  2. Step 1 (web_search): Search for books, articles, and papers on the topic from publisher catalogues, academic repositories, and educator recommendation sites.
  3. Step 2 (sub_agent): Evaluate each candidate text for relevance, difficulty, and suitability for the specified student level. Filter and rank the results.
  4. Step 3 (llm): Write an annotation for each selected text — a summary sentence, difficulty rating (e.g. introductory, intermediate, advanced), and a note on its perspective or contribution to the topic.
  5. Step 4 (integration): Create a Google Doc with the annotated reading list, organised by theme or chronology, formatted for easy distribution to students.

Integrations Used

  • Google Docs — destination for the formatted annotated reading list

Who This Is For

Teachers, lecturers, and course designers who need to build or refresh reading lists for their modules. Particularly valuable at the start of term when multiple modules need lists prepared, or when updating a course to include more recent publications.

Time & Cost Saved

Building an annotated reading list from scratch typically takes 2–4 hours of searching, evaluating, and writing descriptions. This workflow produces a complete list in minutes, saving the bulk of that time. For educators managing multiple modules, the savings multiply quickly — preparing lists for 3–4 courses could save a full working day. The workflow uses web search, sub-agent, LLM, and integration steps, costing a few credits per run.