Verifying AI Accuracy
How to validate protocol summaries and handle potential inaccuracies in AI generated content.
AI generated summaries are powerful but not infallible. Optiverse provides tools to verify accuracy and correct issues before sharing externally.
Source Verification
Every data point in a protocol summary links back to its source in the transcript. Click any reference to jump to the exact moment in the recording where that information was stated. This makes it straightforward to verify any claim, action item, or decision before acting on it.
Accuracy Considerations
Non deterministic output. Regenerating the same protocol on the same transcript may produce slightly different wording. The substance should remain consistent, but phrasing can vary.
Speaker attribution. If transcript speaker labels are wrong (e.g., Person A's statements attributed to Person B), the protocol will inherit those errors. Fix speaker labels in the transcript first, then regenerate the protocol.
Transcription quality. Transcript accuracy is affected by audio quality, overlapping speech, accents, and domain specific terminology. Even with 80% transcript accuracy, protocol output is usually solid. The AI model understands context well enough to produce meaningful summaries and can often infer correct meaning from imperfect transcriptions.
Use the Custom Dictionary to fix recurring misrecognitions of industry terms, company names, or jargon. The dictionary trains the transcription model to recognize your specific vocabulary.
Verification Tools
Editable output. Every protocol summary is fully editable. Correct any errors directly in the output before sharing or exporting.
OptiAgent chat. The AI chat on each meeting page lets you ask verification questions like "Did we agree on a June deadline?" or "Who said they'd handle the follow up?". OptiAgent will find and cite the exact moment in the recording.
Source links. Click through to verify numbers, dates, and commitments directly against the recording.
Best Practices
- Always review before external sharing, especially action items with deadlines and responsible parties
- Fix speaker labels early. Correct attribution upstream prevents errors downstream
- Add terms to the Custom Dictionary to reduce recurring transcription issues
- Use source links for critical data points
Speaker confusion is more likely when people talk over each other. In these cases, verify attribution of important action items using the source links before distributing notes.
Protocol Gallery
Browse pre built protocol templates in the marketplace and add them to your workspace with one click.
Optiverse Desktop App
The AI-powered desktop companion for meetings. Transcribe without a bot, dictate text anywhere, and manage action items in real time — available for macOS and Windows.