A heavy down pour of life, learning, experimenting, and looking ahead. The last few week's I've spent reflecting, finding gratitude, and trying to forecast the bets I'm going to be making in the next year.
A light drizzle of spec-driven development (SDD) with spec-kit, GitHub's Specify project, and how my most recent project has me seeing SDD, and PRDs as a product leader and builder.
A modularized MCP powered Chrome plugin that allows one to right click on text in their browser and choose a couple different options to analyze the text.
I built this tool because I'm starting some graduate studies in the fall and I've heard the submissions are reviewed for AI. I often use AI but don't rely on it and want to assure what I'm writing doesn't get flagged. I've also been interested in using FAST API to build an MCP server, especially with docker. And I believe the best way to learn is to do.
Also, ever wonder if someone uses AI in their social posts? I've wondered the same as a scroll on LinkedIn. This tool lets me check whenever I'm curious. 🤔
Many AI validation tools like Grammarly and others require you to copy and paste text into their sites/portals to evaluate it. Personally, the UX flow just isn't great, unless you're having it review large papers. Apple recently came out with "Writing Tools" built into Apple Intelligence in the context menu and it covers typical AI use cases like proofreading, summarization, rewriting, and making the writing sound different (friendly, professional, concise). It doesn't cover use cases for analyzing text for AI drafting like what I was looking for. I often look for tooling that is easy to use, easy to build upon, and easy to customize.
I’ve always been fascinated by the intersection of data, decision-making, and technology. Recently, two podcast episodes sparked an idea that I couldn’t shake — one that combines my passion for fantasy football, my love for tech, and my curiosity about how NFL players make decisions about their careers.