# A convincing answer still needs a proper check.

All stories are fictional. They do not describe specific people, companies or projects. Any resemblance is coincidental.

A tool produces documents quickly and the leader likes the first examples. A closer review reveals missing conditions and incorrect conclusions. Participants disagree about quality because they assess different aspects of the text and have not agreed a shared evaluation method.

## Where we could start

Clarify the work the output is intended for and who will use it. Identify requirements, available examples and the evaluation needed before drawing a conclusion about suitability.

## What you would have

A limited evaluation plan with output requirements, participants and questions for deciding on further use.

## Participants

The task owner, prospective users and specialists able to assess content and technical limitations.

## Roles and decisions

Experience in agreeing requirements and reviewing releases helps organise the evaluation; it does not establish the quality of a particular model. Technical and domain assessments remain with specialists.

## Factual experience, separate from the fictional story

MVP Lab / Pivot: Client requirements, approvals, demonstrations and release review.
https://apiperson.com/experience/#work-pivot

Keiss Media: Managing digital campaigns: client requests, estimates, budgets, suppliers and delivery.
https://apiperson.com/experience/#work-keiss

[People disagree about acceptable quality](https://apiperson.com/ai/ai-evaluation/criteria/)

[Requirements are clear, but errors appear unpredictably](https://apiperson.com/ai/ai-evaluation/errors/)

[The output looks suitable, but reviewing it takes too much work](https://apiperson.com/ai/ai-evaluation/review-effort/)

[Book a 30-minute call](https://calendar.app.google/4FrxQkHkAZ32PkzA9)

mailto:apiperson.com@gmail.com