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Sensei teaches the team, one learner at a time.
An AI learning companion: ingest your courses and documentation, get adaptive quizzes, coaching, and per-learner progress, inside your workspace.
Sensei operating contract
What Sensei is allowed to do.
This plain block gives humans, Google Search, and browser agents the same stable facts: role, inputs, outputs, approval gate, and next action.
- Role
- Sensei: Learning Companion Agent
- For
- Teams onboarding to new tools, processes, or knowledge who need training that adapts
- Inputs
- Approved company context, meetings, documents, workflow notes, and relevant operational systems.
- Outputs
- Content ingestion, Adaptive quizzes, Coaching conversations, Progress tracking
- Human approval
- External sends, finance moves, sensitive decisions, and client-affecting actions require a human gate by default.
- Evaluation
- Outputs are sampled against a rubric and improved from accepted drafts, corrections, rejected recommendations, and outcomes.
Training content exists. Learning rarely happens.
Courses get recorded, documentation gets written, and three months later the team still works from habit. Sensei turns static content into an active companion that checks understanding and coaches.
- ·Recorded trainings are watched once and forgotten.
- ·Nobody knows who actually mastered what.
- ·Questions go to the busiest expert instead of the material.
Content ingestion
Courses, videos, and doc sets become a queryable knowledge base.
Adaptive quizzes
Questions that adjust to each learner's level and gaps.
Coaching conversations
Learners ask; Sensei explains from your material, with citations.
Progress tracking
Per-learner mastery, visible to the operator.
Ingest the corpus
Trainings, recordings, and documentation, with owners' approval.
Shape the curriculum
Modules, levels, and what mastery means per topic.
Operate with human approval
The agent prepares, prioritizes, and drafts. Humans approve external action.
Coach and measure
Quizzes and conversations produce a live picture of team capability.
Managed, not self-serve. A MAIDA agent is a Managed Artificial Intelligence Digital Agent: built around your data, your process, your approval gates, and your commercial outcome.
Double self-improvement loop. Client corrections improve the client agent. Patterns across deployments improve AI Jungle templates and playbooks without leaking client data.
Human approval by default. External messages, financial actions, and sensitive decisions stay gated by people unless the client explicitly changes the operating policy.
Is Sensei live?
Yes. Sensei runs in production today, ingesting real course material and coaching real learners.
Where does our content go?
Into your private workspace. Your material trains nothing outside your container.
Start with the workflow where AI can create visible leverage.
We will tell you if Sensei is the right first agent, or if another workflow should come first.
Start with the assessment