1. Record 2–4 takes of a short educational video
2. Upload the raw clips to Gemini 3.0 or another AI
3. Have it evaluate:
• delivery and tone
• clarity for non-native English speakers
• micro-expressions (e.g., accidental flirty/influencer vibe)
• authority and “professional” presence
• hook strength and pacing
4. Pick the best take and send only that to editors
5. After editing, run the near-final video back through Gemini for a final QC pass: pacing, captions, vibe, etc.
Questions:
• Has anyone used Gemini 3.0 or other AIs for take-selection or tone/presence analysis?
• Does it handle micro-expression / “vibe” detection well, or is that marketing hype?
• How consistent are AIs at judging video quality across multiple takes?
• Any limitations I should expect (context window, file size, false positives, etc.)?
I’m trying to figure out if Gemini 3.0 or other AIs can reliably act as a “pre-editor” for quality control before I spend money on human editing.
Workflow I’m considering:
1. Record 2–4 takes of a short educational video
2. Upload the raw clips to Gemini 3.0 or another AI
3. Have it evaluate:
• delivery and tone
• clarity for non-native English speakers
• micro-expressions (e.g., accidental flirty/influencer vibe)
• authority and “professional” presence
• hook strength and pacing
4. Pick the best take and send only that to editors
5. After editing, run the near-final video back through Gemini for a final QC pass: pacing, captions, vibe, etc.
Questions:
• Has anyone used Gemini 3.0 or other AIs for take-selection or tone/presence analysis?
• Does it handle micro-expression / “vibe” detection well, or is that marketing hype?
• How consistent are AIs at judging video quality across multiple takes?
• Any limitations I should expect (context window, file size, false positives, etc.)?
I’m trying to figure out if Gemini 3.0 or other AIs can reliably act as a “pre-editor” for quality control before I spend money on human editing.