Uploaded May 2025 | Updated September 2026, 6 hours ago
Unlock Generative Custom Operators in Twilio Conversational Intelligence—use generative AI to create tailored insights from every customer call, with rapid iteration and business‑specific scoring, all through a simple UI and API.
Check out the docs on Generative Custom Operators, our newest and most powerful Language Operator yet: twil.io/ci-custom-op
Key Takeaways
⚙️ Custom LLM‑powered analysis: Build operators with natural‑language prompts for any scoring criteria
👁️ Instant previews: Test operators on real transcripts before saving
🔄 Rapid iteration: Refine prompts and rerun in seconds for precise results
📈 Hands‑off deployment: Add your operator to Voice Intelligence and analyze every new transcript automatically
🔗 Programmatic extensibility: Push scores and insights to downstream systems for coaching, follow‑up, and automation
⏱️ Chapters
0:25 – Creating “Owl Shoes Call Scoring” operator
0:55 – Crafting your prompt & criteria
1:27 – Previewing operator results
2:08 – Adding missed criteria & retesting
2:37 – Submitting operator to Voice Intelligence
3:14 – Live demo: analyzing a frustrated customer call
4:02 – Leveraging scores for coaching & follow‑up
Unlock Generative Custom Operators in Twilio Conversational Intelligence—use generative AI to create tailored insights from every customer call, with rapid iteration and business‑specific scoring, all through a simple UI and API.
Check out the docs on Generative Custom Operators, our newest and most powerful Language Operator yet: twil.io/ci-custom-op
Key Takeaways
⚙️ Custom LLM‑powered analysis: Build operators with natural‑language prompts for any scoring criteria
👁️ Instant previews: Test operators on real transcripts before saving
🔄 Rapid iteration: Refine prompts and rerun in seconds for precise results
📈 Hands‑off deployment: Add your operator to Voice Intelligence and analyze every new transcript automatically
🔗 Programmatic extensibility: Push scores and insights to downstream systems for coaching, follow‑up, and automation
⏱️ Chapters
0:25 – Creating “Owl Shoes Call Scoring” operator
0:55 – Crafting your prompt & criteria
1:27 – Previewing operator results
2:08 – Adding missed criteria & retesting
2:37 – Submitting operator to Voice Intelligence
3:14 – Live demo: analyzing a frustrated customer call
4:02 – Leveraging scores for coaching & follow‑up
