Where to focus your evaluation
Artifacts give standalone content a dedicated place to develop, and projects organize context. Those are useful starting points for evaluating sustained writing work.
Our recommendation is to begin with a difficult paragraph you already understand. That lets you distinguish a useful improvement from a plausible-sounding change that weakens the meaning.
Sources:Anthropic: Claude artifactsAnthropic: Claude projects
Ask it to explain the revision
Give Claude a specific audience and purpose. Ask it to identify the weakest part of the argument before writing a replacement. Then require an explanation of what changed and why.
Watch for claims that grew stronger than the evidence supports. A softer statement may be the right revision. So may a missing caveat, a better comparison, or an admission that the draft needs more information.
Writing quality depends on the work
A tone you like in an essay may be wrong for a concise application. A helpful explanation may be too long for a client recommendation. Keep length, audience, and evidence requirements constant while you compare outputs.
This is an editorial assessment based on documentation. We have not measured Claude’s writing quality against a benchmark, and we do not claim it always performs better or worse than another model.
A question to start with
When another view helps
If the argument matters enough to test from another direction, Quartz lets you compare selected models around a document and bring back the passages you choose. That can complement a workflow you already like rather than replace every part of it.
A few practical questions
The short ones are here. For anything else, ask below.
Is this an independent review?
No. It is published by Quartz, a product with an interest in this category. We disclose that relationship and link the documentation behind product claims.
Can I start using Quartz today?
Quartz is opening access through its waitlist. You can explore the public demo, then join the waitlist for your own workspace. Signing in is for people who already have access.
Does agreement between AIs mean the answer is correct?
No. Agreement can help you identify a common view, but models can share an error. Check important claims against original evidence. Different answers are a reason to investigate, not a vote you have to follow.