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AI

Applied AI features, production integrations, and real-world implementation lessons.

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Apr 13, 2026

AI for Repeatable Systems, Not Vibe Coding

Most developers use AI to generate throwaway code for every new project. I use it to build CLIs, agent skills, test harnesses, and plugin scaffolds — repeatable infrastructure that compounds. Here is why spinning up a fresh agent session per task, with pre-built tools and context, beats ad-hoc prompting every time.

Apr 12, 2026

AI Safety and Guardrails in Production Systems

Our first AI feature hallucinated a compliance finding that did not exist. A client acted on it. Here is how we built input sanitization, output filtering, confidence scoring, and human-in-the-loop escalation to make AI output trustworthy.

Apr 11, 2026

RAG in Practice: Grounding AI Claims in Authoritative Sources

Our AI scanner said a page violated WCAG 2.4.7 — but it cited the wrong success criterion. RAG fixed the hallucination problem by grounding every AI claim in the actual specification, with retrieval metrics that prove the system works.

Apr 10, 2026

Building an Eval Framework for AI Compliance Scanning

AI scanners find accessibility violations that deterministic tools miss — but how do you know the AI is not hallucinating? We built an evaluation harness that measures precision and recall against axe-core ground truth, gates every prompt change with regression tests, and tracks quality drift in ClickHouse.