Build a Book Index Around What Readers Look For

As of 2026-10-23 · The AZET team. We operate azet.io and are writing from that perspective. This article is a creative exercise for fun and reference. Its examples are invented, and the suggested AI workflow is an idea to try with a tool you already use, not a statement that AZET provides this capability.

A fictional craft booklet mentions paper grain on pages 4, 11, and 19. Its draft index has one entry: “Paper, 4–23.” A reader trying to find the grain test still has to search nearly the entire booklet. The index contains a relevant word, but it has not finished its job.

An AI-assisted indexing exercise can begin with that failed lookup. Give the model a small, page-labeled excerpt and a specific reader question. Ask it to propose routes to an answer. Keep responsibility for every locator with the editor holding the actual pages.

Start with questions, then choose entries

For the invented booklet, write three questions: How do I find the grain direction? Why does a fold crack? Where is the comparison between two paper weights? These questions suggest entries that reflect reader needs rather than simply repeating section titles.

The grain test might belong under “grain direction, testing.” The cracking discussion could appear under “folds, cracking” with a cross-reference from another term the reader might reasonably use. Do not add every possible synonym. A crowded index can hide the helpful route as easily as a sparse one.

Use the manuscript's own vocabulary first. Introduce an alternative term only when it genuinely helps someone reach a passage that answers their question.

Supply pages the model can inspect

Create a short source packet with explicit page boundaries. A pasted chapter without those boundaries cannot support reliable page locators. If page 11 contains only a passing mention while page 19 explains the test, preserve that distinction.

Try this request:

Propose index entries for these page-labeled excerpts. For every locator, quote the supporting phrase and say whether the page explains the topic or merely mentions it. Suggest subentries only where they separate useful reader questions. Do not invent page numbers or index material outside the supplied pages.

Treat the result as a candidate list. Check quoted evidence before deciding whether an entry earns space. A passage containing the word “fold” may discuss storage rather than folding technique.

Make cross-references lead somewhere

Suppose the model proposes “paper direction: see grain.” The destination must exist, and its wording must match. If the actual heading is “grain direction,” a reference to “grain” introduces avoidable friction.

Try following each reference with a finger. Look for loops, empty destinations, and chains that send the reader through several entries before reaching a page. When two labels mean the same thing in this booklet, choose a main entry and make the alternative lead directly there.

Keep distinct ideas separate. Grain direction and paper weight may be discussed together, but they answer different questions. Combining them because they share pages weakens the index.

Test a lookup against the final pages

Give someone the question about cracking folds and the proposed index. Ask them to point to the passage they would read. Observe the route rather than explaining your intended one.

If they stop at a broad entry, revise the wording or add a useful subentry. Repeat the lookup after pagination changes. A correctly chosen subject with an outdated locator still sends the reader to the wrong place.

The finished artifact is a small index with checked destinations. Save the manuscript version beside it so later edits trigger a locator review.

FAQ

Can AI produce the final index without the pages? It can suggest vocabulary, but page references need page-labeled source material and an editor's check. Do not present guessed locators as finished indexing.

Should every mention receive an entry? For this exercise, prefer passages that help answer a reader's question. Brief mentions can be included when useful, but frequency alone is a weak selection rule.

A note from the makers

Our product reference is the maker introduction dated October 3, 2026. That document describes azet.io as a portal centered on the azet AI assistant and records an early-access email waitlist. It also says pricing was unpublished at that time. Those are dated statements from that introduction; this exercise does not establish a later launch, a feature release, or a pricing change.

If this kind of careful, everyday work interests you, visit azet.io to join the early-access waitlist. Read the information shown there before registering. We are sharing a way to think through a small task, with the final judgment left to the person doing it.