Ai on Tyler Wellshttps://blog-theta-seven-23.vercel.app/tags/ai/Recent content in Ai on Tyler WellsHugoen-usWed, 15 Apr 2026 00:00:00 +0000Building the AI Product Assistant: Context Injection, Multi-Turn Chat, and Cross-Product Retrievalhttps://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-4-ai-assistant/Wed, 15 Apr 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-4-ai-assistant/[Retail AI Series 4/5] How to build a Rufus-style AI assistant that answers product questions, suggests complementary gear, and builds camping loadouts — with conversation history, context injection, and dynamic retrieval.Building the Catalog and Ingestion Pipeline: Archetypes, Embeddings, and ChromaDBhttps://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-2-catalog/Mon, 13 Apr 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-2-catalog/[Retail AI Series 2/5] How to generate 1180 realistic products from 20 archetypes, why product descriptions matter for RAG, and how the ingestion pipeline works.AI-Powered QA Testing with playwright-cli and GitHub Copilothttps://blog-theta-seven-23.vercel.app/posts/playwright-cli-qa-post/Thu, 09 Apr 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/playwright-cli-qa-post/How to use playwright-cli with GitHub Copilot as an autonomous QA agent — without Playwright MCP, without writing test code, and without needing Copilot Vision or an embedded browser.What I Learned Building a LangGraph Agent From Scratchhttps://blog-theta-seven-23.vercel.app/posts/langgraph-agent-post/Mon, 30 Mar 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/langgraph-agent-post/Building a LangGraph job research agent showed me where agent loops actually help, why typed state matters, and how conditional edges change the design.Your MCP Server Is Only as Good as Its Docstringshttps://blog-theta-seven-23.vercel.app/posts/building-a-cfb-mcp-server/Sun, 15 Mar 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/building-a-cfb-mcp-server/Building a college football data MCP server taught me that the most important design decision in an agentic system isn't the architecture — it's the docstrings.How a Simple Power Automate Workflow Automated 250+ Hours of Work Per Monthhttps://blog-theta-seven-23.vercel.app/posts/retail-power-automate-workflow/Fri, 20 Feb 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/retail-power-automate-workflow/Eliminate costs tied to repetitive corporate tasks with simple workflows like this -- a Microsoft Form + a Power Automate flow + an AI promptScoring RAG Answer Quality with an LLM Judgehttps://blog-theta-seven-23.vercel.app/posts/rag-answer-judging/Mon, 26 Jan 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/rag-answer-judging/[RAG Series 3/3] Source URL retrieval tells you whether the right content was retrieved. It doesn't tell you whether the answer was any good. Adding an LLM judge to the eval harness reveals two failure modes that retrieval scoring alone can't see.How to Design RAG Eval Test Caseshttps://blog-theta-seven-23.vercel.app/posts/design-rag-eval-test-cases/Sat, 24 Jan 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/design-rag-eval-test-cases/[RAG Series 2/3] How to write test cases that catch real retrieval problems, why source URL retrieval is a useful proxy metric, and when it isn't enough.RAG Retrieval: Chunking, Embeddings, Reranking, and an Evalhttps://blog-theta-seven-23.vercel.app/posts/rag-retrieval-quality/Thu, 22 Jan 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/rag-retrieval-quality/[RAG Series 1/3] Covers chunking strategy, embedding model consistency, reranking, and building an eval harness — including what happened when Voyage AI's free-tier rate limits forced a more resilient architecture.