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What is Stepsailor?

Stepsailor is a groundbreaking platform that harnesses the power of artificial intelligence to transform customer education by integrating interactive learning experiences directly into your product. At the heart of Stepsailor lies its AI command bar, which allows users to execute complex, multi-step tasks simply by expressing their goals in natural language, effectively eliminating the need for complex prompt engineering. This capability streamlines operations, making it easy to create continent-specific folders or automate repetitive tasks with remarkable efficiency. In addition, Stepsailor provides a type-safe software development kit (SDK) that enables product teams to define commands using their existing programming expertise, facilitating seamless integration without steep learning curves. The platform also features advanced analytics that delve into user behavior by analyzing commands, helping teams identify obstacles and improve product interactions. By incorporating methodologies such as human-in-the-loop, schema validation, and rigorous data isolation, Stepsailor ensures reliability and control in AI applications. Furthermore, its user-friendly design and intuitive features make it accessible for organizations of all sizes, solidifying Stepsailor's position as a premier solution in enhancing customer education. Ultimately, the combination of these innovative elements positions Stepsailor as a game-changer in the realm of user engagement and learning.

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

Next.js

Integrations Supported

Next.js

API Availability

Has API

API Availability

Has API

Pricing Information

$35 per month
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

Stepsailor

Date Founded

2024

Company Location

United States

Company Website

www.stepsailor.com

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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