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What is Visual Basic?

Visual Basic, which is an object-oriented programming language developed by Microsoft, facilitates the quick and easy creation of type-safe applications within the .NET framework. This version specifically focuses on improving the Visual Basic Runtime (microsoft.visualbasic.dll) for .NET Core, making it the first version designed exclusively for that environment. Upcoming revisions are expected to integrate aspects of the Visual Basic Runtime that depend on WinForms technology. The .NET framework itself serves as a dynamic and open-source development platform suitable for building various application types. Regardless of the specific application being developed, the code and project files retain a uniform structure and functionality. This consistency allows developers to utilize the same runtime, application programming interfaces (APIs), and language features throughout all of their projects. A Visual Basic application comprises standard components, with a solution hosting one or more projects; each project may include multiple assemblies, which are compiled from several source files. This organized approach not only helps streamline the development process but also empowers developers to efficiently handle the complexities of their applications. In essence, the framework’s cohesive design fosters a productive environment for developers to innovate and bring their ideas to fruition.

What is Jev?

Jev is a low-latency System One Model from TypeSafe AI built for structured decision-making rather than open-ended text generation. TypeSafe describes System One Models as a new class of frontier models intended to make fast decisions that can be consumed directly by application code. Jev takes unstructured information as input and returns predefined typed outputs with probabilities and confidence scores instead of generating unrestricted natural-language strings. Its parallel sampling architecture produces outputs in a single query rather than sequentially generating one token at a time, which is designed to reduce latency and inference cost. The model is trained with Reinforcement Learning for Calibrated Decisions, which focuses on producing well-calibrated probabilities for structured System One tasks. TypeSafe positions Jev as a software-native intelligence layer for tasks including classification, routing, scoring, extraction, decision branching, and other workflows that benefit from probabilistic logic. It can also be applied to model evaluation and safety workflows by scoring, judging, verifying, guardrailing, or detecting jailbreaks in prompts, reasoning traces, and generated outputs. The company reports service response times of roughly 70 to 500 milliseconds and says this can make Jev suitable for interactive and real-time applications where traditional frontier models may introduce too much latency. Jev is designed to return consistent schemas without type errors, allowing its results to be incorporated into code without the same parsing and validation steps commonly required for free-form LLM responses. TypeSafe also highlights map-reduce style processing over large datasets as a potential use case, where the model can turn large amounts of unstructured information into structured features and insights.

Media

Media

Integrations Supported

Buffer Editor
ChatGPT Pro
Claude Fable 5
Claude Mythos 5
Claude Opus 4.5
CodeRunner
GPT-4o
Gemini 1.5 Pro
Gemini 2.0 Flash
Gemini 2.5 Flash
Gemini 3.1 Pro
Gemini Pro
Grok 4 Fast
Grok 4.3
Llama 3.3
RemObjects Mercury
RunCode
SonarQube for IDE
Visual Studio

Integrations Supported

Buffer Editor
ChatGPT Pro
Claude Fable 5
Claude Mythos 5
Claude Opus 4.5
CodeRunner
GPT-4o
Gemini 1.5 Pro
Gemini 2.0 Flash
Gemini 2.5 Flash
Gemini 3.1 Pro
Gemini Pro
Grok 4 Fast
Grok 4.3
Llama 3.3
RemObjects Mercury
RunCode
SonarQube for IDE
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Input: $0.042 / 1M tokens
Input tokens: $0.042 / 1 million tokens ($42 per billion tokens).

Output tokens: FREE (too cheap to meter).
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Website

docs.microsoft.com/en-us/dotnet/visual-basic/

Company Facts

Organization Name

TypeSafe AI

Date Founded

2024

Company Location

United States

Company Website

typesafe.ai/

Categories and Features

Categories and Features

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