Egeria Resource Explorer (Part 3): Asking a Question
Active Surveying Beyond the Catalog Perimeter · Part 3 What happens when you actually ask one: prerequisites, what it costs, and how the answer gets published. In Part 2 we took a single row of…
Egeria Resource Explorer (Part 2): The Anatomy of a Question
Active Surveying Beyond the Catalog Perimeter · Part 2 One catalog of questions across five resource types, and what a single row of it actually contains. If the Funnel Is the Shape, This Is the…
Egeria Resource Explorer: Effective Exploration and the Survey Funnel
Survey first, catalog the worthy.
Egeria Advisor: Literate Governance and the Collaborative Canvas
In my last post, Egeria Advisor: The Live Gateway and the Feedback Loop, we explored how the Egeria Advisor transitioned from a passive reference guide into an active operational tool by integrating the Model Context…
Egeria Advisor: The Live Gateway and the Feedback Loop
In my last post, I detailed how we addressed the challenge of non-determinism by moving to a coordinated multi-agent architecture and introducing explicit Intent and Perspective controls into the front-end Web UI. By wrapping our…
Egeria Advisor: Ingestion Tuning and the Multi-Agent Shift
In my last post, The Egeria Advisor: Casting Out Egeria Expert – Lessons Learned, I shared how we expanded the data scope of the Egeria Advisor to include core code repositories like egeria-python, egeria (Java), and egeria-workspaces. This expansion…
The Egeria Advisor: Casting Out Egeria Expert – Lessons Learned
In my last post, The Egeria Advisor: Sharing the Journey, I introduced the foundational vision behind the Egeria Advisor—injecting “Context Intelligence” into AI applications by leveraging organizational and situational context to provide more useful results. But…
The Egeria Advisor – Sharing the Journey
Dan Wolfson We have to build systems that people want to use, that provide value to them individually, that makes their work life better – not just view humans as knowledge sources to train the…
Responsibilities and activities supporting data readiness for AI projects
In my first post on Data Readiness, I introduced the notion of a Data Readiness activity to provide the AI development team with the political power to make the resources (typically data and subject matter…
Building the Data Lens for AI
A Data Lens is a specification of the data needed to support an AI development project. It reflects the scope of the business problem/opportunity laid out by the sponsors, but has sufficient detail to act…