Mariete AI Essentials
The practical starting point for understanding AI, giving it useful work and reviewing what comes back.
Learn the durable concept when you need it. Return to the product method while you work. Reading a unit does not create progress or issue a credential.
The practical starting point for understanding AI, giving it useful work and reviewing what comes back.
A capability model for choosing work that fits AI and recognising the failure modes that do not.
The permissions, evidence standards, human review and controls that consequential AI work needs.
A clear map of the terms and system layers behind models, retrieval, agents, tools and evaluation.
The operating method for configuring a worker, connecting scoped tools and activating a controlled workflow.
The method for briefing research, approving a plan, preserving evidence and recovering safe work.
The method for applying brand context, generating work, reviewing cost and preparing safe reuse.
The method for briefing a consequence tree, reading its branches and recalculating a decision.
The method for briefing a supported scenario, reading the trace and reviewing what the rehearsal can support.
Open a unit in Academy and return whenever the work needs a clearer method.