Why specify a reading range after uploading a file?
Focus file analysis on the issue to avoid mistaking successful upload for complete reading.
Uploading and analyzing are not the same step
The presence of an attachment indicates that supporting materials have been provided, but it does not mean the model has examined the entire file word by word. Different file types and task modes may use different processing methods; Agents may also need to read or extract content segment by segment within the environment.
Therefore, after uploading, it is best to clearly state the file's purpose and the questions to be answered, rather than just sending a large file without explanation.
Provide a task with locatable scope
For example, "Check the chain of evidence in the report, focusing on chapters related to the certification process; list conclusions and supporting materials in a table." Locating information helps the model process the most relevant parts first.
If comparing multiple files, label each file’s role, such as old version, new version, and reference standard, and specify comparison fields. Similar file names can easily cause ambiguity; requesting results to indicate which material the basis comes from can reduce subsequent manual verification costs.
- Specify the file name and key chapters, time periods, or keywords.
- Explain whether you want to summarize, compare, extract data, or verify conclusions.
- Request a list of the actual checked ranges and parts not yet covered.
File too large or reading failed
First check the attachment status and selected environment, then consider segmenting or extracting a small amount of relevant content. Scanned images, tables, and complex formats may require additional processing; do not interpret no text output directly as the file having no content. Materials passed to the model and subsequent analysis still occupy context and generate usage; repeatedly uploading the same file usually does not help solve capacity issues.