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 adds a System One classifier to your video agent, resolving routing, scoring, and safety checks in milliseconds for far less.
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.
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
Seedance 2.0
The Future of AI Video Is Here.
A Decision Layer Built for Video Agent Pipelines
Sitting between your LLM and your tools, the Jev AI Video Generator behaves as a System One classifier that replies with calibrated decisions instead of paragraphs.
- Calibrated Answers from a System One ModelTrained by TypeSafe AI with reinforcement learning from calibrated decisions (RLCD), this model responds with a verdict rather than a paragraph, letting a video agent read a state and pick its next move.
- Keeping the Agent Loop MovingEvery agent loop alternates between an LLM deciding, a tool executing, and a model evaluating. Jev soaks up the classification step in the middle, sparing the loop a slow and costly model call on each turn.
- Drop-In Support for LangChain WorkflowsIn LangChain, Jev ships as TypeSafeClassifier. Pass a state and your questions to .invoke(), and you get structured classification output back in place of a conversational answer.
Wiring the Jev AI Video Generator into LangChain
Three short steps take you from installing the package to your first classification call.
Capabilities Jev Adds to Video Agents
Benchmarked speed and cost figures, the question formats on offer, and middleware patterns that make Jev a quick decision layer inside video agents.
Benchmarked 200x Faster Inference
According to TypeSafe AI, classification inference runs as much as 200x quicker than comparable LLMs, which keeps real-time decisions inside a video agent loop workable.
Benchmarked 400x Lower Cost
Those same benchmarks price Jev as much as 400x below comparable LLMs for classification, so every routing or scoring check in a video workflow costs a small share of a chat call.
Choice, Score, and Noul Question Formats
Choose from a list of options, grade an input against ordered levels, or obtain a yes-or-no probability — every answer comes with a confidence value you can threshold against.
Several Questions in a Single Request
One state can hold multiple questions at the same time, letting a video agent examine different facets of a request without piling on additional model calls.
Routing Middleware That Chooses the Model
With routing middleware, Jev weighs each incoming request against your own criteria and picks a model to match, so light video tasks stay on inexpensive models while heavy ones move to stronger ones.
Safety Checks Ahead of Tool Execution
AutoModeMiddleware consults Jev on whether a tool call seems risky and can halt it before it runs, bringing the harness safety pattern to any agent.
Common Questions About Jev and Video Agents
Clear answers on what Jev is, how it connects to LangChain, and the kinds of questions it can return.
What is Jev, exactly?
A System One model from TypeSafe AI, trained with RLCD. Rather than composing prose, it returns calibrated decisions an agent can use to choose its next step.
Does Jev produce video or text output?
Neither one. Jev is not a conventional LLM; it absorbs the classification chores teams normally hand to LLMs and answers with structured output a video agent can consume.
How do I connect Jev to LangChain?
Install the langchain-typesafe package, export TYPESAFE_API_KEY, and pass a state and questions to TypeSafeClassifier.invoke(); what comes back is classification output, not a chat completion.
What question formats can I use?
Three of them: Choice for selecting among options, Score for rating against ordered levels, and Noul for yes-or-no. Depending on the case, responses carry probabilities, distributions, and confidence.
Can a single state include several questions?
Yes — one request may bundle multiple questions about the same state, letting a single video request be examined along several dimensions at the same time.
What is the point of AutoModeMiddleware?
It sends tool calls through Jev to flag risky decisions and stop them before the tool fires, giving video agents an extra safety layer.
Start Building with Jev and LangChain
Install langchain-typesafe, set TYPESAFE_API_KEY, and show off what you build. LangSmith lets you trace and debug each decision your agent makes.