Build production-ready AI workflows with minimal engineering effort
Julep AI helps teams create complex AI agents and workflows using simple YAML configurations. It's designed for data scientists who want to turn prototypes into production systems without building custom infrastructure. The platform handles scaling, state management, and integrations so developers can focus on workflow logic rather than backend engineering.
Define multi-step processes with decision trees and loops
Software engineering principles applied to AI development
Swap AI models without rewriting entire systems
Track workflow performance and debug easily
Private deployments and compliance features
Julep focuses on production-ready systems with state management and long-running tasks, while LangChain specializes in prompt chaining.
Yes, the platform is designed for model independence to prevent vendor lock-in.
Yes, through the 'Prompts as Code' approach in the 8-Factor methodology.
This tool is best for:
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Julep AI can be integrated with these apps and services:
Recent data shows that Julep AI has 11.6K monthly visits (-12.1% decrease from the previous month), 66.0% bounce rate, and average 1.62 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 3 countries worldwide, led by India contributing 61% of total traffic. SEO performance is shown by 5 tracked keywords, with "julep ai" being the top-performing keyword with 490 monthly searches. See below for more info.
Monthly Visits
11.6K
Pages per Visit
1.62
Bounce Rate
66.0%
Average Time on Site
19s
| SEO Keyword | Volume | CPC |
|---|---|---|
| julep ai | 490 | - |
| julep ai userbase | 50 | - |
| what is julep ai | 80 | - |
| julep | 5.9K | $0.85 |
| browserbase | 46.6K | $0.82 |
| Source | Traffic Share |
|---|---|
| Direct | 43% |
| Search | 36% |
| Social | 7% |
| Referrals | 12% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 61% |
 | 31% |
 | 8% |
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