None
None
Long Story Video Skill
Turn your idea into 10s–10min video—AI writes scripts, prompts, and generates footage automatically.
Ads Video Skill
Generate professional ads and sales videos—AI auto-generates scripts, prompts, and footage.
3D Science Explainer Video Skill
Convert scientific concepts into stunning 3D explain animations
Feedback
freeTrialImage.bannerPity
freeTrialImage.upgradeUnlock
- ✓freeTrialImage.benefitHd
- ✓freeTrialImage.benefitWatermark
- ✓freeTrialImage.benefitUnlimited
AI Ad Video Example
Loading...
Jev AI Video Generator
Jev AI Video Generator turns agent states into fast, calibrated choices — route, score, and safety-check every video step in milliseconds.
All Tools
Discover our comprehensive AI-powered animation toolkit
MiniMax H3
MiniMax H3 AI Video Generator
Seedance 2.5
The Future of AI Video Is Here.
Seedance 2.0
The Future of AI Video Is Here.
Veo3.1
Create Stunning Videos with Veo3.1
FLUX 3 Video Generator
Kling 3.0
Next-Gen AI Video Generator
Grok Video Generator
Create Videos from Text or Images with AI
MiniMax H3 video generator
MiniMax H3 AI Video Generator
A Decision Layer Video Agents Can Trust
Think of the Jev AI Video Generator as a decision layer — a System One classifier that answers with calibrated choices instead of long paragraphs.
- Calibrated Answers From a System One ModelBuilt by TypeSafe AI and trained with reinforcement learning for calibrated decisions (RLCD), Jev replies with a decision rather than prose, so your agent can read a state and pick its next move.
- Keeping the Agent Loop MovingEvery agent loop has an LLM decide, a tool execute, and a model evaluate. Jev takes over the classifying in between, so the loop stops paying for a slow, costly model call on every single turn.
- Drops Straight Into LangChainWithin LangChain, Jev appears as TypeSafeClassifier: pass a state and your questions through .invoke(), and classification output comes back in place of a chat reply.
Wiring the Jev AI Video Generator Into LangChain
Three quick moves take you from installing the package to your very first classification.
Where the Jev AI Video Generator Pays Off
Benchmarked speed and cost gains, the question formats on offer, and middleware patterns that turn Jev into a quick decision layer for any agent.
Up to 200x Faster Inference
TypeSafe AI reports classification inference running as much as 200x quicker than comparable LLMs, which keeps real-time decision making inside a video agent loop practical.
Up to 400x Lower Cost per Call
The same benchmarks put Jev up to 400x cheaper than comparable LLMs on classification, so every routing or scoring check in a video workflow costs a fraction of a chat call.
Ask in Three Shapes: Choice, Score, or Noul
Choose between a set of options, rate an input on ordered levels, or get a yes-or-no probability — every answer arrives with confidence you can threshold against.
Several Questions in a Single Request
One state can carry multiple questions at once, letting a video agent judge different aspects of the same request without stacking up extra model calls.
Routing That Sends Work to the Right Model
With routing middleware, Jev weighs the incoming request against criteria you define and selects a model to match, keeping simple video jobs on cheap models and hard ones on stronger ones.
Safety Checks Before a Tool Fires
AutoModeMiddleware asks Jev whether a tool call looks risky and can halt it before execution, applying the harness safety pattern to any agent.
Common Questions About Jev in Video Agents
What Jev is, how it hooks into LangChain, and the kinds of answers it sends back.
So what is Jev, exactly?
It is a System One model from TypeSafe AI trained with RLCD. Rather than writing prose, it returns calibrated decisions your agent uses to choose its next step.
Does Jev output video or text?
Neither. It is not a conventional LLM, yet it handles the classification chores teams usually hand to LLMs and sends back structured answers a video agent can consume.
How do I connect Jev to LangChain?
Install the langchain-typesafe package, export TYPESAFE_API_KEY, then call TypeSafeClassifier.invoke() with a state and your questions; you receive classification results rather than a chat completion.
What question formats can I use?
Three of them: Choice for selecting among options, Score for rating on ordered levels, and Noul for yes-or-no. Replies include probabilities, distributions, and confidence where relevant.
Can a single state hold several questions?
Yes — one request can bundle multiple questions about the same state, so a single video request gets checked along several dimensions at once.
What is the point of AutoModeMiddleware?
It sends tool calls past Jev to spot risky decisions and stops them before the tool fires, adding a safety check layer to video agents.
Start Building With Jev and LangChain
Install langchain-typesafe, set your TYPESAFE_API_KEY, and show us what you ship. LangSmith traces every decision your agent makes.