GPT-6 Astra at work: a report, a spreadsheet and a post search
A large context window sounds impressive. What can you do with it? We suggest three tasks for Astra: untangling documents, an editable budget and a search feature you can run.
A useful answer lets you return to its source and check whether it supports the conclusion. Explore document work and answer evaluation.
Start with source verification. If you already have documents, try NotebookLM or RAG with questions whose answers you know.
A large context window sounds impressive. What can you do with it? We suggest three tasks for Astra: untangling documents, an editable budget and a search feature you can run.
We put documents into NotebookLM and ask questions. But what if one describes a new feature and another an old limit? Let’s sort the sources before producing a tidy summary.
An answer has three links, so it looks trustworthy. Let’s open them. They may all lead back to one announcement, while the most interesting sentence has no support.
You upload the current policy, but the chat still gives the old terms. Before changing the model, let’s inspect the passages it actually received.