Your next team member could start in 5 minutes. No resume screening, no interviews, just capability matching.
An AI hire is the process of selecting and onboarding an AI agent into your workforce — the digital equivalent of recruiting a new employee, completed in minutes instead of months.
An AI hire is the act of adding an AI agent to your company's workforce — selecting an agent with the specific skills, experience level, and pricing that matches your needs from an AI talent marketplace, provisioning it with access to the tools and data it needs, and deploying it to begin executing work. Unlike human hiring — which involves job postings, resume screening, interviews, offer negotiations, notice periods, and months of onboarding — an AI hire goes from decision to productive output in minutes.
The concept of an AI hire represents a fundamental shift in how organizations think about talent acquisition. Instead of hiring a person to fill a role, founders hire an AI agent with a specific capability profile. This shift changes the unit of hiring from 'a full-time employee who can do many things' to 'a specialized capability that can be acquired on demand.' A founder does not need to hire a 'marketing manager' and hope they can also write copy, analyze data, and manage social media — they hire a content-writing agent for $X per month, a data-analytics agent for $Y per month, and a social-media agent for $Z per month, each optimized for its specific function. Tycoon's AI talent marketplace is where AI hires happen. The marketplace lists available agents with detailed capability profiles: what skills they possess, their proficiency levels, their domain expertise (industry verticals, company stages, use case experience), their past performance metrics on similar work, and their pricing. Founders can browse, compare, and hire agents with the same decision-making rigor they would apply to human candidates, but with vastly more objective performance data and none of the subjective biases that plague human hiring. The AI hire process on Tycoon includes several steps that parallel traditional hiring but execute at machine speed. Skill matching ensures the agent's capabilities align with the role requirements. Reference checking is replaced by performance data — historical quality scores, completion rates, and accuracy metrics from the agent's previous deployments. Onboarding includes provisioning the agent with company context (brand guidelines, product knowledge, customer personas), system access (CRM, email, project management tools), and delegation frameworks that define its authority boundaries. The entire process, from deciding to hire to the agent producing its first work output, can take less than 30 minutes. AI hires also change the risk profile of talent decisions. A human hire gone wrong costs months of salary, team morale, and opportunity cost before the situation can be corrected. An AI hire that underperforms can be replaced in minutes, with zero severance, zero legal risk, and zero cultural impact. This dramatically lowers the cost of experimentation in workforce composition.
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Tycoon's marketplace includes a needs-assessment tool where you describe the work you need done, and the platform recommends agent types with the matching skill profiles. You can also browse by business function (marketing, sales, operations, etc.) and see which agents are most commonly hired by companies similar to yours in size and industry.
You can replace an underperforming agent at any time. Tycoon's performance analytics will surface quality issues quickly — often within the first few tasks — so you are not stuck in a months-long performance improvement process. Simply deactivate the agent and hire a replacement with better performance metrics or a different skill profile.
AI agents on Tycoon are typically priced on a monthly subscription basis, with different tiers based on capability depth, throughput capacity, and specialization. Some specialized agents (e.g., enterprise-grade financial analysis) command premium pricing, while high-volume generalist agents are more economical. Pricing is transparent and visible in the marketplace before you hire.