ChanlChanl
Prompt Version ControlAI-powered solution

Deploy Changes Safely

Version control, A/B testing, and rollback capabilities for your voice AI prompts. See exactly which changes improve performance and safely deploy updates.

Prompt Management

Manage prompts
like production code.

Git-Style Version Control

Track every prompt change with detailed commit history, branching, and merging capabilities. Never lose a working prompt.

A/B Testing

Test prompt variations in production with automatic traffic splitting. See which prompts perform better with real data.

Smart Suggestions

AI-powered recommendations for improving prompts based on conversation analysis and performance patterns.

Git-Style Version Control

Track every prompt change

Detailed commit history, branching, and merging capabilities for your prompts. Never lose a working prompt configuration again.

  • Full version history with diff comparisons
  • Branch and merge prompt variations
  • One-click rollback to any previous version
  • Team collaboration with review workflows
system-prompt.md
v2.3 → v2.4
# System Prompt
You are a helpful customer support agent.
- Be polite and professional
+ Be warm, empathetic and professional
- Response time target: 5 seconds
+ Response time target: 3 seconds
Always verify customer identity.
+ Ask for preferred contact method.
Tests
All passing
CSAT Impact
+2.4%
Deployed
2 min ago
A/B Testing & Optimization

Test variations in production

Test prompt variations with automatic traffic splitting. See which prompts perform better with real conversation data.

  • Automatic traffic splitting between variants
  • Statistical significance calculations
  • Per-variant performance metrics and scoring
  • Auto-promote winning variants
A/B Test Results96% confidence
Variant A52% traffic
Score: 72
Variant B48% traffic
Score: 84
WinnerVariant B
Smart Prompt Suggestions

AI-powered prompt optimization

AI-powered recommendations for improving prompts based on conversation analysis and performance patterns across similar use cases.

  • AI analysis of underperforming prompts
  • Suggested rewrites with expected impact
  • Cross-agent pattern analysis for best practices
  • Continuous optimization recommendations

Improve Greeting

+5% clarity

Add customer name and context from memory for personalization

Boost Empathy

+8% CSAT

Mirror customer sentiment before offering solutions

Reduce Wait Time

-12s wait

Pre-fetch common queries to cut response latency

“Only 18% of organizations have successfully deployed an AI agent in production. The gap isn't building — it's testing, observability, and trust.”

Gartner, 2025 — AI Agent Readiness Report