I still try to figure out how to use it to its full potential.
I mainly run it through github-copilot/claude-sonnet-4.6 using GitHub Copilot Pro + at 39$/month
Task management: My entire todo system runs through GitHub Issues. I just tell it things like "mark that done" or "add a task for X" in Slack and it handles the gh CLI calls. Sounds trivial but removing the friction of opening a browser actually changed how consistently I maintain my list.
Morning/EOD briefings: Cron jobs post a structured summary to Slack every morning and evening — calendar, open GitHub issues, important emails. It pushes a RSS feed of my tasks that I can view on a widget on my phone.
Server management agent: I have a different agent which acts as the server admin. It runs Jellyfin, a few *arr apps, AdGuard, mealie, etc. I don't touch config files or docker compose manually anymore. I just describe what I want changed. I have it run its own security audits frequently.
I also have a personnal coach agent which tracks my weight, my weekly exercices using gcal and creates meal plans which gets pushed to mealie so I can know what to buy for grocery and what to cook.
Literature reviews: I describe a research question and it runs a full pipeline — searches Semantic Scholar + Google Scholar, creates a Zotero collection with clean metadata, then tries to fetch PDFs through 9 different strategies (institutional repos, arXiv, Unpaywall, EZproxy with my university credentials, etc.). Gets about 60-65% PDF coverage automatically.
I have a personal shopper agent called Betty which role is to get out there and find deals about stuff I want to buy.
I also use it to run data pipelines for research project. It's instructed to use opencode with openai/gpt-5.4 for coding with beads and gastown.
I still have to figure out how to manage model switching efficiently. I'm not there yet.
It's the first AI setup that genuinely changed how I work rather than just being a fancy search engine.