Understanding incorrect information in Ask AI responses

Overview

Ask AI is powered by large language models (such as Gemini, Qwen, and ChatGPT). It can answer smartly from transcripts and meeting summaries, but models sometimes “hallucinate”—giving incorrect, over-speculative, or even content that never appeared in the recording.

Common inaccuracy patterns

• Filling in details the recording never mentioned.
• Mixing up what different speakers said.
• Incorrectly summarizing numbers, dates, or names.
• When information is thin, inferring conclusions that sound plausible but were never stated.

Tips

• Treat the transcript as the source of truth: for key decisions, numbers, or commitments in Ask AI answers, go back to the original transcript segments.
• Use timestamps: jump from related snippets in Ask AI answers to the matching audio to verify.
• Ask specifically: vague questions invite guesswork; clear requests reduce errors.
• For complex questions, turn on Deep thinking—it often cuts obvious mistakes, but human review is still recommended.

Related features

• Ask questions with Ask AI: write better questions to reduce errors.
• Transcript editing: search, proofread, and locate key segments.
• Troubleshoot Ask AI: what to do when answers look wrong.