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I think it's a pretty important collaborator. So we're a connector inside of ChatGPT. You can use us as an MCP provider inside their agent builder. ... And so, Zapier plus, you know, you know, a ChatGPT or a Claude or a Gemini is a pretty powerful combination.
I think our approach is, you know, we'd rather keep that for ourselves. But I do think there's benefit to releasing benchmarks and evals and other tools that can help you get a sense for how well these models perform against these tools. And if you make those public, you'll likely find that the foundation models will start training on those things. And that can be beneficial to you because you're getting some cooperation with everybody to improve on a certain thing that you actually are like, I
in the case of us, we're sitting on 14 years of workflow data. And as a result, like we know how to make these things reliable. And when things break, we know how to fix them. And, you know, we can use that data because very few other people have access to the corpus of information we have. And so we can use that to improve the experience.