Compare assistants by the work you need to finish

One assistant writes a smoother paragraph. Another makes it easier to open the source behind every claim. Which is better for preparing a factual briefing? The answer depends on the finished work, including how much checking and correction you must do.

Before you begin: Understand model selection and the difference between a model and an application.

Compare the whole task

A model comparison measures one component. An assistant comparison includes file handling, retrieval, citations, editing controls, tool access, and the steps required to complete a job. A product may use different models for different features or change them without exposing every detail.

Choose a task you can evaluate with public or invented material. For example, give two assistants a one-page event policy and ask them to produce a participant FAQ. Include a deadline, an exception, and one question the policy does not answer.

Use the same source, request, and scoring criteria. Record the product, account tier when relevant, date, and any settings or enabled tools. If one product searches the web and the other uses only the supplied text, you are comparing different workflows. That may be useful, but describe the difference.

Inspect evidence handling

For each factual answer, try to locate the supporting passage. A citation is helpful only when it supports the attached claim. A source about the event in general does not justify an invented refund deadline. Check whether the assistant notices contradictory or outdated documents.

Ask the missing-answer question too. “The policy does not specify whether guests can attend” may be more useful than a confident guess. A product that makes uncertainty clear can reduce the checking burden, even if its prose is less elaborate.

Measure the work after the first answer

Count the corrections required to reach a usable result. Can you edit one section without regenerating the whole document? Can you copy the result without losing tables or citations? Is the output readable on your phone? Does a failed upload have a clear recovery path?

Time the complete task, including verification. A quick initial draft followed by ten minutes of repair may be less efficient than a slower but well-grounded answer. Do not infer productivity from response speed alone.

Check the data boundary

Before using private material, inspect the account's actual data controls, retention terms, connector permissions, and organizational restrictions. A consumer account and a managed work account can have different conditions within the same product. Product names alone do not establish those conditions.

You do not need to upload confidential files to compare basic usability. Start with a synthetic notice. If the product fits, investigate the relevant data requirements before expanding the workflow.

Use a small decision record

Write one paragraph: the task, the candidates, the examples tested, the most important failures, and the reason for your choice. If neither product meets the bar, keep the manual workflow or narrow the task. Choosing no automation is a valid result of an evaluation.

Avoid permanent rankings such as “best assistant for research.” A product's features, pricing, access, and models can change. A dated decision based on your task is easier to revisit than a list of brand reputations.

Make a tradeoff explicit

Assistant A answers all five FAQ questions but invents an answer to the one missing from the policy. Assistant B answers four and flags the gap. Both take similar time. Which result is more useful for a factual FAQ, and what should happen next?

Next, we will use an assistant as part of a content workflow where factual checking and editorial choices have distinct roles.

Further reading

Model Cards and HELM motivate documenting conditions and evaluating more than one score. Product-specific features should be checked in each provider's current help center.

Continue to the next lesson.