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Ask GC AI a grounded question

Answer a legal question using the user's GC AI knowledge base so the response is grounded in their own material, not general model knowledge.

Steps

1. Bring in any referenced documents first. If the question is about a specific file the user attached, upload it (upload_file, or start_file_upload plus finish_file_upload for a sandbox file) and poll get_files({ id }) until ready. If the question is about material already in GC AI, locate it with get_files, get_projects, or get_playbooks as needed.

2. Ask. Call ask_gcai with the question, scoping it to the relevant files or project when there is one. It is a long-running job: poll ask_gcai_status until status is succeeded, failed, or canceled.

3. Present the answer. Return the grounded answer with its citations to the underlying documents. Do not add legal conclusions the source material does not support.

4. Offer to keep it. If the user wants a record of the exchange in their GC AI history, call ask_gcai_save_chat. Only save when the user asks; it writes to their account.

Notes

• Prefer grounding over recall. If the knowledge base has nothing relevant, say so plainly instead of answering from general knowledge.
• Complete the whole chain in one turn. Poll jobs yourself; never ask the user to wait.