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AI Systems Engineering: Making the Whole Workflow Dependable

AI Systems Engineering: Making the Whole Workflow Dependable

by lucent | Nov 3, 2026 | Automation, Governance, Workflow | 0 comments

AI systems engineering is the work of designing, integrating, testing, and operating the complete system around an AI model. It includes the model’s behavior, but also the information it receives, the software that calls it, the tools it can use, the records it...
Governance Observability: Making Authority and Responsibility Inspectable

Governance Observability: Making Authority and Responsibility Inspectable

by lucent | Nov 3, 2026 | Governance, Workflow | 0 comments

A policy describes who may act and under what conditions. An activity record shows that something happened. Understanding whether the action followed the policy requires evidence connecting the two. Governance observability is used here as a working term for making...
Decision Context: Preserving What Makes a Choice Understandable

Decision Context: Preserving What Makes a Choice Understandable

by lucent | Nov 3, 2026 | Automation, HITL, Workflow | 0 comments

Decision context is the information about a situation that helps explain a choice: the question being addressed, what was known, what remained uncertain, which constraints mattered, and who had authority to decide. A record that says “we chose option B” preserves an...
Context Engineering: Choosing What an AI System Needs to Understand a Task

Context Engineering: Choosing What an AI System Needs to Understand a Task

by lucent | Nov 3, 2026 | Automation, HITL, Workflow | 1 comment

Context engineering is the practice of selecting, organizing, and supplying the information an AI system needs for a particular task. It includes prompt wording, but also the documents, retrieved passages, tool results, conversation history, and other material...
Protected: human-in-the-loop-systems

Protected: human-in-the-loop-systems

by lucent | Nov 3, 2026 | Automation, HITL, Optimization, Workflow | 0 comments

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Human–AI Interaction: Designing for Understanding, Correction, and Control

Human–AI Interaction: Designing for Understanding, Correction, and Control

by lucent | Nov 3, 2026 | Automation, HITL, Workflow | 0 comments

Human–AI interaction is the way people understand, use, question, and direct AI-enabled systems while carrying out a task. It includes the model’s responses, but also the interface, available controls, feedback, and consequences surrounding those responses. A person...
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