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Sessions and objectives
A Learning Path is a list of sessions. Users complete them in sequence: session 3 cannot be opened until session 2 is complete. Each session holds a set of objectives, defined as the observable actions a user must demonstrate before the AI Fellow marks the session as complete.
Add a session
Click Add Session.
Optionally add Session notes. Only administrators see them; users never do. They define how the AI Fellow runs the session in the background.
Define the session objectives (next).
Configure a session badge
A session can have an optional Frontierz session badge. It is a reward shown on the learner's Journey card after the session is configured with an icon.
Learners see the configured icon and name on the session card in Your Journey. The analytics dashboard also groups completed session badges under Enrolled Users.
Session badges are Frontierz progression markers. They are separate from Microsoft badges, which are external credentials shown on the certificate page.
Preview a session
Admins can preview a Learning Path session from the eye icon on the session row.
Session preview is an admin view. It does not require learner enrollment and does not enforce sequence locks.
Saving editor changes
Most editor fields use Save or Save and Close. Session title, session notes, Info screen fields, and badge fields save when you leave the field. Objective changes use Save. Capability changes use Save Capabilities.
Reordering or deleting a session saves immediately and updates the numbering of the remaining sessions. You do not need to select Save for these actions.
Define objectives
The AI Fellow validates objectives in real time during the conversation, based on what the user states or demonstrates on the shared screen. Each objective is recorded as either met or pending.
Write the objective in clear, specific language. For example, "The user names at least three customer pain points the product addresses."
Repeat for every objective the session requires. The number of objectives per session is not capped.
Make objectives observable. "Understands the product" is hard for an AI Fellow to confirm. "Explains the three main features without checking the docs" is clear: either it happens in the conversation or it does not.
Create objectives with AI
When a session has no objectives, the empty state offers Add Objective and Create objectives with AI.
AI-generated objectives are a starting point. Check that each one describes an observable outcome for the learner.
Info screen
Each session can show an optional welcome window before the user starts the conversation. Use it to provide context, share a short briefing video, or frame the session.
The session info screen has the same fields as the
AI Fellow Info screen: title, optional
subtitle, optional video URL (Vimeo, YouTube, or a direct .mp4 link),
and optional body text. Text can use bold, italic, lists, and
quotes. Leave the title empty to hide the window. The
window opens whenever the user enters that session, not only on the first
visit.
Edit these fields from the session panel in the Learning Path editor, alongside the session name and Session notes. Session notes are Fellow guidance for that session. The Info screen is the learner-facing welcome window.
Session knowledge
Each session can carry up to two reference files that the AI Fellow can read only while the user is in that session. Upload them from the session's Session knowledge base. For material that should apply to every session in the path, use Global knowledge base instead. See Learning Path knowledge.
Add an AI Simulation between sessions
You can add an existing AI Simulation as a practice step between sessions. It becomes available when the previous session is complete. The user must finish the simulation before the next step unlocks.
In the Sessions area, click Add AI Simulation next to Add New Session.
Pick a simulation from the list. Only Active AI Simulations in the workspace are selectable. When none exist, the button stays disabled and the list reads No active AI Simulations available in this workspace.
The simulation is added as a step and can be moved into position with the arrow controls, the same way as a session. Adding and reordering steps are saved immediately. No separate Save is required.
An AI Simulation tag identifies the step on the user's Journey. It opens the practice conversation directly and uses the simulation's own assessment criteria, without separate session objectives. After completion, Frontierz prepares feedback. In Settings, choose whether users and administrators can see it or only administrators. To change the assessment criteria, edit the simulation in AI Simulations.
A user who can open the step can use its simulation even when the simulation is later set to Private and the user was not added through Manage Users. That access lasts only while the user has access to the Learning Path. A Private simulation still has to be finished before the next step unlocks. If the simulation is deleted, set to Disabled, or in Training, the step shows no link and no longer holds up the next step.
A simulation has to exist and be set to Active before it can be added. Build one from Frontierz Studio → AI Fellows → New AI Fellow → AI Simulation. See AI Simulations.
Add a SCORM lesson
The Sessions area also has an Import SCORM button. Use it to add an existing SCORM package (for example, an e-learning module exported from an authoring tool) as a step in the sequence. It unlocks when the previous step is complete and gates the next step until the package reports completion. See Import a SCORM package.
Why sessions are sequential
Sessions open in order because each one assumes the competencies built in the previous ones. For a non-sequential library of content where the user selects what to read, a Learning Path is not the right format. A single AI Fellow with a broad Knowledge Base would fit better.