The difference in practice
| What matters | Quartz | Poe |
|---|---|---|
| Primary evaluation | Does seeing three answers together help me decide? | Can I explore the bots that fit my task? |
| Multiple perspectives | Three leading AIs respond to the same question at once | Comparison follow-up actions across bots |
| Keeping the result | Keep the answer that holds up, and the thread it came from | Evaluate how you want to reuse conversation outputs |
| Usage | Demo allowance; workspace invitations via the waitlist | A points system with rates shown for bots |
Scroll the table sideways to compare.
Sources:Poe: Products and pointsPoe: Comparing answers with follow-up actions
Multiple models are not an exclusive feature
Poe already offers ways to compare responses. A comparison that presents Quartz as the only way to ask different AIs would miss the real decision.
The useful distinction is what you see. In Quartz, the three answers sit side by side, and the agreements and differences between them are the point. Evaluate that on a decision you need to make.
Try a question that leads somewhere
Use a draft recommendation rather than a trivia question. Ask for an objection, follow the strongest objection, and decide whether to change the recommendation. Then decide, and keep the thread.
If model exploration is the goal, a catalog can be valuable. If a decision is the goal, include the time it takes to reach one you can explain.
A question to start with
Count the whole conversation
Usage depends on more than the number of opening questions. A useful comparison includes the context you provide and the follow-up turns that lead to a result. Review each product’s current limits before committing.
There is no universal winner here. Choose the environment that helps you make and record a better decision with less friction.
A few practical questions
The short ones are here. For anything else, ask below.
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.
Is this a benchmark of model intelligence?
No. This is a comparison of documented product workflows and Quartz’s current interface. We have not run a controlled performance benchmark or assigned model scores.