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What is next-forge?
Presenting an all-inclusive mono repo template crafted to optimize the development process of your new SaaS application with utmost efficiency. This template provides a holistic toolkit covering essential features such as authentication, billing, analytics, SEO, and database management, ensuring everything you need is readily available. Kickstart your project with a pre-configured shadcn/ui template that comes equipped with vital tools like Tailwind and Clerk. You can also create a tailored API microservice that caters to various applications, featuring a type-safe database ORM for improved reliability. Moreover, the template allows for the design and previewing of email templates utilizing a React-based email library, alongside a blocks website template that incorporates a type-safe blog, effective SEO strategies, and requisite legal pages, all powered by Content Collections. With user-friendly, aesthetically pleasing default configurations and clear documentation, maintaining your project is a breeze. Utilize Prisma Studio to obtain a comprehensive view of your database structure and automatically generate Prisma client code for effortless integration. This template not only accelerates your transition from idea to deployment in just minutes but also empowers you to concentrate on effectively building and scaling your application while reducing development overhead. In essence, this comprehensive resource equips developers with the tools needed to bring their visions to life rapidly and efficiently.
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.
Integrations Supported
Clerk
Google Analytics
Neon
Next.js
PostHog
Prisma
React
Resend
Sentry
Stripe
Integrations Supported
Clerk
Google Analytics
Neon
Next.js
PostHog
Prisma
React
Resend
Sentry
Stripe
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
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).
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
Vercel
Date Founded
2015
Company Location
United States
Company Website
www.next-forge.com
Company Facts
Organization Name
TypeSafe AI
Date Founded
2024
Company Location
United States
Company Website
typesafe.ai/