RobyManualSummaries

The problem

Every AI assistant has a limit on how much it can read at once. A manual, a thesis or a long report goes past it, and the answer is either a refusal or a summary of the first few pages pretending to be a summary of the whole thing.

Splitting it by hand is worse. You end up with twenty pieces, twenty summaries, and the job of stitching them back together in the right order — which is where the mistakes happen.

The solution

Split the document into chunks that fit, work through them, then merge the summaries back into a single file in filename order.

What it does

• Splits long text into precise chunks under 9,000 characters.
• Merges .txt, .doc and .docx summaries back into one document.
• Keeps filename order, so the parts come back in the order they went out.

How it works

• Paste or upload the long document and take the chunks.
• Summarise each chunk wherever you prefer, then bring the summaries back and merge them.

Why it is useful

The limit is on how much can be read at once, not on how much can be understood. Chunking is what turns a document that is too long into a document that is merely long.

Filename order is the part people improvise and regret. Here it is the rule, so the merged document reads in the order the original did.