Let's Explain Explainability
Explainability has a fancy name, but it's built from things you already use - weighted scores, plain-English reasons, and an append-only audit trail. Here's a whole loan-approval workflow, walked through by persona.
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AI & Agents
4 min read
I Built an MCP Server, But I Didn't Need To
I built a remote MCP server for my blog, then realized a bearer token was all I needed. Here's the honest trigger for when an MCP server is actually worth it, and how the build and auth really work.
By Jeremy
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AI & Agents
5 min read
Make Agent Evals Part of Your Observability
The first agent I worked on had evals, but they only ran in CI/CD: a pre-flight checklist with no in-flight instruments. Here is the case for live, continuous evals as part of your observability: what to measure, what a decent score looks like, and how to tune them over time.
By Jeremy
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AI & Agents
3 min read
Same AI, Different Grounding: Agentic Tooling by Persona
The right AI tool depends on who's asking, and every tool only works if it's grounded. How I split agentic tooling by persona for a fictional bank: DaaS golden paths for customers, a knowledge-graph-grounded analytics assistant for analysts, and a shared RAG knowledge base.
By Jeremy
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AI & Agents
5 min read
I Built a RAG Chat Widget for My Blog - Here's How It Works
A walkthrough of the RAG-powered chat widget on this site - how it indexes blog posts, how grounding actually works, and why you don't need expensive managed services to build something solid.
By Jeremy
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AI & Agents
3 min read
GenBI: Three Shifts That Could Change How You Think About BI Implementation
At Google Cloud Next '26, a conversation about genBI made me rethink nearly 20 years of BI assumptions. Here are three shifts worth considering.
By Jeremy
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AI & Agents
3 min read
The Dawn of Agentic Data Workflows
Around 2021, if you wanted AI in a data workflow, you picked a vertical. Coding assistance. Data validation. Each was isolated. That constraint is gone now — and it changes everything.
By Jeremy
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