1. Occupation matching comes first
A user's title and duties are first resolved to a canonical occupation. That occupation is the anchor for the top card facts: matched role, exposure level, exposure score, and most exposed area.
The free preview does not let open-ended user language overwrite those top card facts. It uses the occupation master dataset as the source of truth.
2. The dataset controls the score card
Nymbl's occupation master dataset includes fields such as baseline AI risk score, risk bucket, disruption bucket, labor-market outlook, and modeled employment pressure. Those fields drive the score card and the initial risk framing.
That is why a role can show high exposure and positive labor-market growth at the same time. Growth measures demand for the occupation. Exposure measures how much of the work is compressible, repeatable, or likely to be restructured by AI.
3. User duties shape the explanation, not the top-line facts
The duties input helps Nymbl explain why a result feels plausible for a specific user. It gives the report context about whether the day is dominated by routine execution, stakeholder translation, exception handling, or judgment-heavy work.
That language can sharpen the narrative, but it is not allowed to replace the occupation master row that powers the four top card facts.
4. The LLM writes the summary and report language
Language models are used for explanation, synthesis, and personalization. They help turn structured risk signals into concise reasoning, exposure drivers, task narratives, and career pivot framing.
The model is instructed to treat the occupation match and dataset fields as fixed. It can explain the result with common sense, but it should not invent a new threat level, score, or disruption bucket.
5. What the report is and is not
A Nymbl report is a decision-support tool. It is meant to help a person think earlier and more clearly about how the shape of work is changing around them.
It is not a guarantee of layoffs, a promise of salary outcomes, or a substitute for local job-market diligence. It is strongest when used as a structured starting point for a career decision.