According to its Product Hunt page, Easy-Peasy.AI launched its AI employee team service, AI Employees, on November 4, 2026. Users can hire an AI team composed of 19 predefined roles, where the AI team splits tasks, collaborates through group chats and task tracking, and requires user approval before any output is published.

AI Employee Teams Streamline Complex Project Management

AI Employees provides 19 prebuilt roles covering leadership and planning, marketing content creation, research and data analysis, sales and customer support, and finance and HR. These include roles like Chief of Staff, Business Analyst, Graphic Designer, and Email Marketing Specialist. Users provide a brief, and the AI team automatically assigns and tracks individual tasks.

For example, for a product launch, a user requests an email, a banner, and last spring’s sales numbers. The Chief of Staff assigns the analyst to fetch the data, the designer to create the banner, and the email specialist to draft the email. Deliverables gather in a group chat awaiting user review. Each task is tracked with its status (to do, in progress, in review, done) and assigned owner, with all output requiring user approval before release.

Flexible Roles and Customizable AI Teams

Users can choose from the 19 ready-made AI employee roles or describe their own role, with the system generating a name, portrait, and job instructions for quick hiring. Roles cover diverse expertise from social media management to financial reporting, enabling businesses to build smart teams tailored to their needs.

AI Employees supports collaboration with group chats, task boards, and progress reminders. The workflow is modular and transparent, allowing users to monitor every task and outcome in real time, enhancing remote team efficiency.

Editor's take: AI employee teams offer startups operational efficiency gains

AI Employees introduces a novel AI teamwork mechanism with multiple specialized roles that can help startups reduce labor costs and improve productivity. Automatic task delegation and status tracking let founders focus more on strategic decision-making, speeding up project execution.

Startups can validate this technology by testing the AI employee team’s collaboration and output quality on concrete workflows like product launches or marketing campaigns, and assess the approval workflow’s usability and effectiveness before integrating it into daily operations.