A rigid, repeatable checklist to define scope before you build
Strategy in the ChatGPT Mac app → One‑shot execution in VS Code
A call to developers to align vision, planning, and AI for graceful, consistent delivery
How to structure issues and boards so AI helps with both code generation and project management
How to move between projects and clients without burning mental energy, and even make it a strength.
Practical, real-world strategies I use to move between projects, clients, and research without losing momentum.
Not the theory—this is what my workflow with ChatGPT looks like in practice, across code, strategy, and client work.
There are a lot of good models out there. Here’s why I still run my workflow on GPT-5 and OpenAI.
How I use GitHub Copilot to generate clearer, more useful commit messages instead of relying on vague one-liners.
How I take 10–15 minutes of raw voice transcription, run it through GPT-5, and turn chaos into themes, domains, and actionable tasks.
A deep-dive on building a local-first hub to manage AI agents, rules, and confidence thresholds—so voice unloads flow from capture → storage → action without manual shuffling.
Why most tools fail when bolted on top of old habits—and how I’m reshaping my own workflows so agents become part of the operating system, not another inbox.
A workflow for transforming shorthand or casual notes into professional communication, while capturing the technical reasoning underneath.
A Lab documenting the top use cases where ChatGPT accelerates daily work, turning raw ideas, context, and code into clear, actionable outputs.
Shifting from app-centered workflows to systems where AI agents act as operators, not accessories.
Why tools alone don’t create change, and how small, repeatable rituals turn experiments into operating systems.
How to build feeds that keep users informed and empowered, not exhausted—and what the future state of activity streams might look like.
Exploring the design principle that executional intelligence delivers more value than repetitive insight, and how to structure systems so AI becomes an active operator rather than a passive commentator.
A continuation of my reflection on underused experiments—this time exploring how to fold them back into habit and make them feel alive again.
How I wired AI prompts into my repos and issues, and why using it consistently is still a goal I’m working toward.
How I bounce between conversational problem-solving in ChatGPT and in-editor flow with GitHub Copilot, plus what’s working and what I’d like to improve.
Reflections on experiments that worked technically, but stalled because I didn’t fold them into habit.
Notes on how I get the most from GPT-5 — what works, what to watch out for, and the tangible ways it improves my daily workflow.