Test and debug LLM applications with real-world scenarios
Langtail helps developers catch unexpected AI behaviors before they reach users. It provides visual testing tools to manage unpredictable LLM outputs and security features to block malicious attacks. Teams can collaborate on prompt engineering while maintaining control over AI app quality.
One-click security against prompt injections and information leaks
Validate LLM changes with actual usage data before deployment
Shared workspace for debugging prompts and tracking iterations
Fine-tune content filters for specific application needs
Instant notifications about suspicious LLM activities
Provides testing frameworks with real-world data to catch inconsistencies before deployment
Designed for technical teams but emphasizes visual tools for collaborative workflows
Blocks prompt injections, denial-of-service attacks, and sensitive data leaks
This tool is best for:
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Recent data shows that Langtail has 9.0K monthly visits (63.2% increase from the previous month), 38.0% bounce rate, and average 2.07 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 25% of total traffic. SEO performance is shown by 5 tracked keywords, with "langtail" being the top-performing keyword with 350 monthly searches. See below for more info.
Monthly Visits
9.0K
Pages per Visit
2.07
Bounce Rate
38.0%
Average Time on Site
18s
| SEO Keyword | Volume | CPC |
|---|---|---|
| langtail | 350 | - |
| tts trump | 130 | - |
| text to speech trump | 100 | - |
| prompt ninja | 70 | - |
| llm pricing comparison | 1.5K | $3.51 |
| Source | Traffic Share |
|---|---|
| Direct | 38% |
| Search | 36% |
| Social | 15% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 25% |
 | 20% |
 | 15% |
 | 12% |
 | 9% |
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