Overview
Frontierz runs live training and onboarding through AI teammates you build yourself, called AI Fellows. The conversations are voice-based and happen in real time, like a video call.
Two main building blocks:
- AI Fellows. AI agents you give a persona, a purpose, a knowledge base, and a set of Connectors. Users talk to them out loud and they talk back.
- Learning Paths. Structured programs made of sequential sessions. An AI Fellow runs each session and confirms its objectives are met before the next one unlocks.
You can use them together or separately. A standalone AI Fellow on a public link is enough for a quick coaching tool. Learning Paths are what you'd use when you need progress tracking across multiple sessions.
What you'll do as an admin
From Frontierz Studio:
- Build and edit Learning Paths. Define sessions, write objectives, enroll users. Or have AI draft the whole thing for you with Build with AI.
- Build and edit AI Fellows. Pick the persona, voice, language, instructions, knowledge, and Connectors.
- Pick each Fellow's visibility (Public, Private, or Disabled) and manage the access list of any Private Fellow.
- Manage Connectors. These are the integrations that let an AI Fellow do things during a conversation, like screen sharing, calendar invitations, or calls into your own systems.
- Toggle built-in capabilities (Screen Share, Schedule Next Session) on the AI Fellows and Learning Paths where they apply.
- Invite teammates and pick which programs they manage.
- Track usage. See who's progressing, where users are getting stuck, what conversations are actually happening, and review every Connector execution.
- Use View as Learner when you want to sanity-check what an end user sees without changing your own login.
There's no cap on the number of AI Fellows or Learning Paths. Each AI Fellow can hold up to 20 documents (50 MB each) in its Knowledge Base.