Every email read, categorized, and drafted before you wake up. You just approve.
Solo founders get 100-300 emails a day — customer questions, sales pings, vendor pitches, billing alerts, Stripe notifications, support escalations. Triaging them is a 90-minute daily tax that produces zero output. Most founders either let inbox rot (customers wait 3 days) or spend mornings replying instead of building.
The AI customer support agent runs inbox triage on a 15-minute heartbeat. It categorizes every email, drafts context-aware replies using your past responses as voice training, auto-sends routine confirmations, and escalates only what truly needs you — with the draft reply already written. You open Gmail, read 5 things, approve 3 drafts, and close it.
AI Customer Support polls Gmail every 15 minutes, pulls new threads, and tags each one: customer support, sales inquiry, billing, vendor, newsletter, personal, spam.
AI CEO routes categorized mail to the right specialist — support questions to AI Customer Support, sales leads to AI Sales Rep, billing to AI CFO, vendor pitches to archive-with-summary.
Specialist pulls the customer's past orders, support tickets, and account status from Stripe + HubSpot, then drafts a reply in your voice (trained on your last 500 sent emails).
Shipping confirmations, refund acknowledgments, 'got it — will look soon' — anything under a confidence threshold you set auto-sends. You see them in a digest, not a draft queue.
Anything requiring a founder decision (refund > $500, partnership ask, angry customer, legal notice) gets flagged to you in Tycoon chat with the full context and a proposed response.
When you edit a draft before sending, the AI notes the diff and updates its voice model. By week 2 you're editing 1 in 10; by month 2 you're editing 1 in 50.
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Only if you let it sound like AI. The specialist uses your last 500 sent emails as voice training, so drafts match your cadence, your word choices, and your level of formality. The distinguishing feature isn't 'sounds human' vs 'sounds AI' — it's response time. Customers who used to wait 3 days now get thoughtful replies in 15 minutes. The complaint we hear from Tycoon users is the opposite: customers assume you hired a human assistant and ask how you afford one.
Two safety nets. First, auto-send only fires below a confidence threshold you set (default: shipping confirmations, basic acknowledgments, FAQ answers). Anything touching refunds, pricing, contracts, or unhappy customers is always drafted-not-sent. Second, every auto-sent reply shows up in your daily briefing with the customer's response, so if something went sideways you see it within 24 hours, not a week later. You can always roll back the send policy mid-week.
Tycoon treats a shared inbox (support@, sales@) as a single mailbox owned by the relevant AI specialist. Threads get a category label + who-is-it-assigned-to, visible in Gmail so you can see what the AI is handling. If you want a human teammate to take over a thread, you reply in it — the AI notices and stops drafting. If you want to give it back, you forward it back to support@.
Paperclip requires you to configure rules: 'if subject contains X, send template Y.' That breaks the moment a customer asks something slightly different. Tycoon's AI customer support reads the actual email, understands the question, pulls the customer's context from Stripe and HubSpot, and drafts a custom reply. There's no rule to maintain. Add a new product, change a pricing tier, launch a feature — the AI picks it up from Notion and updates its answers automatically.
Any IMAP/SMTP provider works — Gmail (Google Workspace and consumer), Outlook/365, Fastmail, ProtonMail bridges, Hey, custom mail servers. The AI operates on the mailbox, not the client. You can keep using Superhuman or Apple Mail; drafts show up there the same way any other draft does. If you use Gmail, we recommend connecting via OAuth for the tightest integration — labels, threads, and send-as aliases all work natively.