Agentic AI 💡Ensuring Deterministic and Consistent Outputs in Agentic AI Reasoning This guide explores techniques—model-agnostic methods applicable to various LLMs—to make an AI agent’s behavior more deterministic and repeatable.
Productivity 🧩 What Is a Shaping Session and How to Run One (The Shape Up Way) Learn what is a Shaping Session and How to Run One (The Shape Up Way)
Productivity đź’ˇ What is Jobs-to-Be-Done (JTBD) and How to Use It to Build What People Really Need Learn what is Jobs to be done (JTBD) and how to use it to build what people really want.
Norm Engineering 🧱 Flint Frames Explained: Structured Representation of Legal Norms Learn what Flint Frames are and how they represent legal norms as Acts, Facts, and Duties. Includes clear examples and use cases in compliance automation.
Norm Engineering Featured Introducing J-NRL: A Unified Language for Representing Normative Texts J-NRL enables automated compliance checking by providing a structured, machine-readable format for normative text, allowing software to process complex legal documents.
J-NRL Examples: Representing Normative Text in JSON Explore J-NRL examples for encoding legal and regulatory statements in JSON. Learn how J-NRL represents obligations, permissions, prohibitions, and more.
