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What it is: Start by defining the queues. The lab example uses support for technical difficulty, billing for payment-related issues, and sales for hiring interest. A message that doesn’t allow distinguishing these intentions is insufficient. Real teams may need a different taxonomy, but the rule must be explicit.

Why learn: Apply decisions to messages and distinguish absence of evidence from a negative response.

Key concepts: context, criteria, and evidence applied to lesson 5.1.

What it is: A transcript can record multiple things at the same time. The person may show commercial interest, schedule a meeting, and ask for follow-up material. Forcing these dimensions to compete in a single Choice removes useful information: choosing scheduling doesn’t mean it stopped being a commercial conversation.

Why learn: Apply decisions to messages and distinguish absence of evidence from a negative response.

Key concepts: context, criteria, and evidence applied to lesson 5.2.

What it is: An incomplete sentence requires care. “Agreed” can confirm a meeting, accept sending material, or end the conversation. Without the previous messages, we don’t know. A model that’s pressured to answer only yes or no can choose an option even when the object of the confirmation is missing.

Why learn: Apply decisions to messages and distinguish absence of evidence from a negative response.

Key concepts: context, criteria, and evidence applied to lesson 5.3.

What it is: This exercise’s verification checks a claim against a provided passage. It doesn’t try to cover all literature, nor does it guarantee truth in the world. This boundary is essential: the useful question is whether the available material supports the sentence as it was written.

Why learn: Assess what a passage supports without extrapolating to external truth.

Key concepts: context, criteria, and evidence applied to lesson 6.1.

What it is: This exercise uses a fictional clause to study the presence of information. We ask whether the excerpt contains cancellation conditions, not whether a contract is legally safe or valid. These are different judgments, with different context requirements.

Why learn: Assess what a passage supports without extrapolating to external truth.

Key concepts: context, criteria, and evidence applied to lesson 6.2.

What it is: In an email sequence, a proposal is not the same as a confirmed decision. To find a change, keep the sender, message order, and time. Quoted text inside replies can also repeat an old decision; a simple keyword search may select the wrong day.

Why learn: Assess what a passage supports without extrapolating to external truth.

Key concepts: context, criteria, and evidence applied to lesson 6.3.

What it is: A router transforms a task description into a capacity requirement. Instead of asking “what’s the best model in the world?”, we can ask whether the task requires programming, external search, text generation, or simple classification. The code maps these needs to the available providers.

Why learn: Routing, verification, and execution as separate responsibilities.

Key concepts: context, criteria, and evidence applied to lesson 7.1.

What it is: A verifier can evaluate a narrow criterion from another system’s work. “Does it include the order number?” is more verifiable than “Is the response perfect?”. The broader the criterion, the harder it is to know what an approval means and what error it allowed through.

Why learn: Routing, verification, and execution as separate responsibilities.

Key concepts: context, criteria, and evidence applied to lesson 7.2.

What it is: Specialized agents can receive different tasks: locating content, supporting access, or reviewing billing. Choosing an agent is a dispatch, not a grant of authority. The finance agent should not be allowed to gain permission to pay just because the router selected its specialty.

Why learn: Routing, verification, and execution as separate responsibilities.

Key concepts: context, criteria, and evidence applied to lesson 7.3.

What it is: The documented Jev modality consulted for this course is text. Therefore, a browser flow needs to prepare a text representation: DOM elements, accessible names, or a list of candidates. Sending a screenshot directly does not match this contract.

Why learn: Distinguish candidate selection from professional execution and supervision.

Key concepts: context, criteria, and evidence applied to lesson 8.1.

What it is: This case is an administrative exercise with made-up data. The task is to recognize whether a required field is filled in and to organize a queue for human review. We are not classifying diseases, recommending treatment, or prioritizing real patients.

Why learn: Distinguish candidate selection from professional execution and supervision.

Key concepts: context, criteria, and evidence applied to lesson 8.2.

What it is: Consider a made-up document follow-up flow for financial documents. The exercise policy requires reviewing a rectification, following up on a relevant update, and archiving news unrelated to the topic. The goal is to organize information, not to decide investments.

Why learn: Distinguish candidate selection from professional execution and supervision.

Key concepts: context, criteria, and evidence applied to lesson 8.3.