Projects

You're going to build an iOS Shortcut that does one annoying repetitive task for you, with AI wired in, and get a few friends to actually install and run it. The skill is the instinct for what's worth automating: spotting a thing you do over and over and going 'I could make that disappear.' That's how automation engineers think, seeing workflows where other people see chores, and doing one tells you fast whether that instinct is yours.

You're going to build an AI that answers questions using only your own notes, links, and documents, and that you can trust because every answer shows you the source it came from. The skill is grounding: getting an AI to answer reliably from a specific body of knowledge and verifying it against the sources instead of taking its word. That's RAG, one of the most in-demand things AI application builders do (every company wants an AI that knows their own stuff), and doing one tells you fast whether building trustworthy knowledge tools is your kind of work.

You're going to build a workflow where you talk, an AI turns what you said into the right structured thing (a task in your list, a note in your notes, a clean meeting summary), and it lands where you actually work. The skill is intent-extraction: getting the AI to capture what you MEANT, not just the words, and tuning it when it misreads you. That's a growing slice of what AI application builders do, and doing one tells you fast whether turning messy human input into reliable output is your kind of work.

You're going to design a reusable Notion template that other people can duplicate and actually run their lives with: a student planner, a college-essay tracker, an internship-application CRM. The skill is systems-design: deciding what to standardize, what to leave open for the user to fill in, and what to cut, then getting real people to adopt it. That's the durable, systems side of design, and doing one tells you fast whether designing things other people build on is your kind of work.