AI-powered improv comedy training with daily scene practice and real-time coaching
AI agents for customer service that feel human
Stage
Startup
Not given
Founded
2025
Not given
Based in
Not given
US
Pricing model
Freemium
Freemium
Pricing
Not given
Free plan with 35 credits/month. Lite: $35/month or $350/year. Standard: $89/month or $890/year. Scale: $377/month or $3770/year. Enterprise: contact sales. Auto-recharge available at $9 per 1,000 message credits.
Key features
Daily Scene Practice targeting specific improv skills with scoring on acceptance, adaptation, pattern development, and pacing
AI Scene Partner that responds in character with separate coaching layer
Stage Time Streak with banked streak freezes covering missed days
Skill Progression Tree unlocking advanced improv techniques
XP and Performance Metrics tracking progress across skill categories
Hearts and Speed Riff modes for untimed or five-second timed responses
On-device speech recognition with no audio recording or uploading
Train agents on website and documents with auto-retrain
Complete real tasks through AI Actions
Seamless handoff to human agents with context
Multi-channel deployment
Analytics dashboard with satisfaction metrics
White-labeling with custom domain
Team collaboration features
Multilingual support
No-code visual agent designer
What makes it different
Real-time AI coaching that scores your performance and provides targeted feedback immediately after each scene
Privacy-first design with all audio processing and scene practice staying on your device by default
Stage Time streak system with banked freezes that prevent weeks of progress from being lost over one missed day
Structured skill progression tree reflecting real-world improv training pathways from foundation to advanced technique
Human-like conversational responses with brand voice customization
Agents that take real actions not just answer questions
Continuous learning with automatic knowledge updates
Fast setup with no coding required
Seamless handoff to human agents with full context preservation
ChatNode