ChanlChanl
Prompt Version Control

Roll back a bad prompt in one click.

Every prompt change is tracked with full history, so you can branch, test variants against real traffic, and roll back instantly if performance drops. Start free and try it on your own agent.

Start FreeSee Demo

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 and 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

Platform

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Features

Build

Every channel, one brain

Run one agent or many across voice, chat, and SMS, all working from the same customer record.

Build

Takes real action

Agents call your APIs and databases to finish the customer's request.

Build

Remembers every customer

Persistent memory follows the customer across channels, so nobody repeats themselves.

Build

Knows your business

RAG-powered answers from your docs, FAQs, and knowledge base.

Build

Change it safely

Track prompt changes, compare versions, and roll back safely.

Build

Connects to anything

Connect any tool via Model Context Protocol. Open standard.

Test

Test before customers

Test with 25+ AI personas across edge cases before customers do.

Test

Every call graded

Custom scorecards evaluate accuracy, compliance, and tone.

Test

Realistic test callers

25+ personas with unique emotions, accents, and conversation patterns.

Test

Catch breaks early

Catch regressions before they reach customers. Run tests on every change.

Test

Stays on script

Verify your agent follows policies, scripts, and regulatory requirements.

Observe

Monitor AI live

Live dashboards show every conversation and where each customer stands.

Observe

Watch and step in

Watch conversations live and take over before a customer is lost.

Observe

Full transcripts

Every conversation with speaker labels, timestamps, and sentiment analysis.

Observe

Know when it breaks

Get notified when agents fail or sentiment drops, before customers feel it.

Observe

Know your spend

Track spend per agent, per channel, and per conversation.

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