AI Simulations

AI Simulations are AI Fellows built for role-play practice. Instead of writing a full purpose from scratch, the admin defines the simulated person, the situation, and the behaviors the user should demonstrate. Frontierz turns that into a Private AI Fellow.

Use this mode for sales practice, customer conversations, leadership rehearsal, feedback conversations, interviews, or any scenario where the user needs to practice out loud with a realistic counterpart.

Create an AI Simulation

Step 1: Persona

The persona defines who the AI Fellow plays in the role-play. Admins set the simulated person's name, job title, company, seniority, company size, industry, avatar, and conversational stance. The stance controls how friendly, skeptical, or guarded the simulated person should be.

Step 2: Context

The context defines the situation. Admins choose the simulation type, relationship to the user, prior context, and decision stage. They can add talking points the simulated person should bring into the conversation.

Examples include sales discovery, objection handling, negotiation, customer complaint, performance feedback, hiring interview, or executive briefing.

Step 3: Objectives

Objectives define what the simulation is meant to assess. Admins choose the competency, evaluation method, target duration, and success criteria. Write the success criteria in plain language, focusing on what the user should say or do during the role-play.

After creation

New simulations are Private by default. Add users from the simulation's Manage Users page, or assign access from Access Management.

Once a simulation is Active, it can also be placed inside a Learning Path as a role-play step between sessions. See Add an AI Simulation between sessions.

The monitor page shows Edit Simulation instead of Edit AI Fellow. Editing reopens the same three-step builder with the existing values filled in. When the simulation configuration changes, the change appears in Edit history.

Finished simulation conversations are summarized the same way as other AI Fellow conversations. When enough conversation data is available, Frontierz also stores a simulation assessment with strengths, improvement areas, and a score based on the success criteria.