Build an AI That Triages Your Inbox
Maps to: AI Application Builder · Executive Assistant, Chief of Staff, Operations Analyst, Solutions Engineer
You're going to build an AI agent that reads your incoming email, sorts it into categories, and drafts replies for the ones that need them. The skill is agent design: deciding the categories, then drawing the line on what the agent handles on its own versus what it must flag for you. That's the textbook first AI agent and a core thing AI application builders ship, and doing one tells you fast whether designing what an agent is allowed to do is your kind of work.
The plan
0/4 doneYou're 20% in just for starting, the hardest part. Mark your first step done to keep the momentum.
Decide the categories your agent will sort into, and which one matters most to get right. This taxonomy is the agent's whole brain; vague categories = a useless agent.
Objective: A defined set of inbox categories.
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Pick your angle: sort-and-draft for customer mail / school-and-deadlines triage / newsletter-vs-real / a specific-sender autoresponder.
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Define the categories and which matters most to classify correctly.
Your call
Decide the categories (the taxonomy) for your stream, yourself.
Your categories, and the one that matters most to get right.
What good looks like: Your categories are few and clear, and you can name the one that matters most to get right.
- Fewer, clearer categories beat many fuzzy ones. The agent is only as good as your taxonomy.
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The bar to look back against
A live agent sorting your real inbox and drafting on the right bucket, where you fixed its misclassifications and set deliberate 'never auto-handle X' guardrails. The agent design is the work: not 'it sorts email,' but 'I designed the categories and decided what it can and can't do on its own.'
Finish the final step, then submit what you built. Your progress is saved.
Tools you'll use
Step 2 · Build the triage logic + get it sorting once
How this shows up on a resume or college app
I built an AI agent that triages my real inbox, designing the categories, fixing its misclassifications, and setting deliberate guardrails on what it can handle on its own vs. escalate. I learned that AI agents work best when paired with clear rules and boundaries, not asked to figure it all out.