Shot Prompting, Temperature & Node Dictionaries — Day 13: How to Build Voice AI Agents with Pipecat

Day 13 of building a voice-enabled AI solution using Pipecat framework for business applications.

✓ Implemented few-shot prompting system (1-4 examples per task)
✓ Added OpenAI temperature configuration (0.2 default)
✓ Unified navigation through node dictionary structure
✓ Added configurable Deepgram voice selection
✓ Improved conversation flow management

Following my journey of building scaleable voice AI solutions with Pipecat - a framework for creating real-time, multimodal AI applications.

Repository: https://github.com/askjohngeorge/pipecat-lead-qualifier

Connect with me:
🤝 https://linkedin.com/in/askjohngeorge
💻 https://github.com/askjohngeorge
🏠 https://askjohngeorge.com

0:00 Introduction
00:07 What I got done today
02:42 Offensive testing

Видео Shot Prompting, Temperature & Node Dictionaries — Day 13: How to Build Voice AI Agents with Pipecat канала John George