FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
How do I know if my AI role is actually underperforming?
Compare to the original 30-day scorecard. If you didn't write one, compare to what a competent human in that role would produce in the same timeframe with the same context. If the AI role is producing less than a junior human would, the problem is almost always context or autonomy configuration, not the AI. If it's producing less than a senior human would, check whether you're giving it senior-appropriate context. True 'this role cannot do this work' verdicts are rare; context and autonomy account for 80% of complaints.
Can I fire the AI CEO?
Yes, though it's the role most founders hesitate on because the CEO coordinates everything. If your CEO is underperforming, the symptoms are usually visible: weak weekly briefings, bad escalation judgment, drift across the rest of the team. The fix usually isn't firing; it's tightening the CEO's context (positioning doc, priority list, autonomy boundary). But if after a genuine 45 days the CEO isn't adding coordination value, swap it. The other specialists continue running during the swap because they have their own context; the coordination layer is what resets.
What if I don't know whether to fire or just re-onboard?
Default to re-onboard first. It's faster (a weekend vs a week of disruption), cheaper (no lost context), and usually sufficient. If after 14 days of intensive re-onboarding the role still isn't clicking, then fire. The re-onboard involves: redo the day 1 context dump, rewrite the voice guide, tighten the autonomy settings, clarify the 30-day scorecard, run an abbreviated version of the onboarding playbook. Most 'firing' impulses resolve during re-onboarding.
Should I tell the AI role why I'm firing it?
Yes — not for its feelings, but for the knowledge transfer step. Have a final session with the outgoing role where it summarizes everything it learned, flags what it thinks went wrong, and hands off context to the new role. This produces a noticeably better transition than a silent swap. It also sometimes surfaces insights you missed — the outgoing role often knows exactly why the role wasn't working in ways that would take you another month to figure out alone.
How often is firing an AI role actually necessary?
Rare if you follow the onboarding playbook. Most Tycoon operators run their original roles for 6-18 months before any swap is needed, and most swaps are because the business shape changed (outgrew the role's level) not because the role was wrong. If you're firing AI roles frequently (more than twice in your first 6 months), the problem is almost certainly in your hiring process — context loading, autonomy settings, or 30-day scorecard discipline — not in the AI roles themselves.