BIG NEWS: Julep AI selected for Meta Llama Startup Program

A Video Editor Powered by Chatbot

Transform hours of video editing into simple natural language commands—tell your AI agent what you want, and watch it create, edit, and enhance your videos.

Trusted by teams building
production-grade AI agents

The proof is in production.

Real-world performance of orchestrated workflows.

10M+

steps executed per month

5X

faster iteration speed

99.99%

execution success rate

“We migrated to Julep’s workflow engine to power our agents. The clarity, debuggability, and reliability it brought reduced our development overhead by 40%.”

Lead ML Engineer

AI-native SaaS

How it works

How it works

Step 1

AI agent transcribes content, identifies speakers, detects scenes, and understands the video structure

Define what information you need and set up your AI agent with Spider integration

Define what information you need and set up your AI agent with Spider integration



Step 2

Simply tell the agent what you need. The workflow translates your requests into precise editing operations.

Your agent crawls the target website, following relevant links and understanding page context

Step 3

agent applies all transformations while maintaining quality while processing multiple operations in parallel

Tools Used

Vision Model Integration

Vision Model Integration

Vision Model Integration

Transcription

Transcription

Transcription

FFmpeg

FFmpeg

FFmpeg

Parallel Processing

Parallel Processing

Parallel Processing

Document Storage

Document Storage

Document Storage

Why builders choose Julep

Why builders choose Julep

Julep empowers you to build and deploy robust and performant AI applications quickly.

Context-Aware Video Processing

it understands content, tracks speakers, identifying key moments, and maintaining context throughout long videos

Simple chat interface illustration showing conversational AI interaction between agents and users in messaging format

Intelligent Decision Lists

Convert plain text instructions into precise sequence of steps that can be refined, repeated, and executed

Built-in support for conditional logic, parallel processing, and automatic retry mechanisms

Network diagram illustration showing connected workflow nodes for multi-step AI task automation and process management

Multi-Modal Processing

Seamlessly combine video, audio, and text processing all orchestrated through a single unified workflow

Integrate multiple data sources and APIs - from internal documents to web searches

Isometric illustration of layered memory panels representing AI agent memory storage and contextual data persistence across sessions
Julep AI agent YAML workflow configuration showing API integrations for weather, news, and database tools with conditional logic programming
Julep AI agent YAML workflow configuration showing API integrations for weather, news, and database tools with conditional logic programming

Expand this Workflow

Add automated quality enhancement

Build template libraries

Implement content moderation

Add multi-language capabilities

Automate reel generation

Spin up agents in minutes.

Scale insights, not infra.

Small check mark in grey color

SOC 2 Type II Compliant

Small check mark in grey color

Dedicated AI Expert Support

Small check mark in grey color

Configurable Data Retention

Small check mark in grey color

Role-Based Access Controls

Spin up agents in minutes.

Scale insights, not infra.

Small check mark in grey color

SOC 2 Type II Compliant

Small check mark in grey color

Dedicated AI Expert Support

Small check mark in grey color

Configurable Data Retention

Small check mark in grey color

Role-Based Access Controls

Spin up agents in minutes.

Scale insights, not infra.

Small check mark in grey color

SOC 2 Type II Compliant

Small check mark in grey color

Dedicated AI Expert Support

Small check mark in grey color

Configurable Data Retention

Small check mark in grey color

Role-Based Access Controls