Research & Knowledge Hub
2,242+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.
Articles - Page 2
2,242 articles
Jev as an Intelligence Primitive
Explore how Jev functions as an intelligence primitive for software, providing fast, typed, probabilistic decisions that developers can combine into larger automated workflows.
Jev as a Decision Layer
Explore how Jev can function as a decision layer inside software, turning structured state and questions into typed, probabilistic outputs for automation and workflow control.
Jev Decision-Making Pipeline
Learn how Jev’s decision-making pipeline transforms program state and structured questions into typed, probabilistic decisions that software can use for automation.
Jev Latency Explained
Learn how Jev achieves low-latency AI decisions through parallel sampling, structured outputs, calibrated probabilities, and System One architecture designed for real-time software automation.
Jev Inference Architecture
Explore Jev’s inference architecture, including parallel sampling, structured outputs, calibrated probabilities, and how TypeSafe AI enables fast machine-native decision-making.
Jev Decision Pipeline
Learn how the Jev decision pipeline works, from program state and structured questions to parallel processing, typed outputs, calibrated probabilities, and automated software actions.
Jev Parallel Question Processing
Learn how Jev processes multiple structured questions in parallel, enabling faster probabilistic decisions across software workflows, automation tasks, and real-time applications.
How Jev Generates Probabilities
Learn how Jev generates probabilities using parallel sampling, calibrated decision training, and structured outputs designed to express uncertainty in software automation.
Jev Calibrated Decisions Explained
Learn how Jev calibrated decisions work, including typed outputs, probability estimates, confidence scores, and how software can use uncertainty for more reliable automation.
Jev Confidence Scores Explained
Learn how Jev confidence scores work, how calibrated probabilities communicate uncertainty, and how software can use confidence thresholds for safer automated decisions.
Jev Probabilistic Decisions Explained
Learn how Jev makes probabilistic decisions using typed outputs, calibrated probabilities, confidence scores, and structured responses designed for software automation.
Jev Structured Outputs Explained
Learn how Jev structured outputs work, including predefined response types, calibrated probabilities, confidence scores, and how software can use decisions directly in automated workflows.