Introduction to Tidepool
Use Tidepool to extract insights from unstructured text data and build product metrics for LLM apps.
Tidepool, built by the Aquarium team, provides product analytics for AI apps.
Tidepool enables you to:
- Identify actionable patterns in large-scale unstructured text
- Categorize and enrich text data by simply describing how to analyze it
- Correlate trends in text data with product metrics you care about (e.g. paid vs. free users, active vs. less active users, or any arbitrary metadata you like)
Use machine learning to derive Attributes on unstructured text and enrich user interaction data.
Large language models have provided a powerful and increasingly common way of interacting with many business and consumer apps. As these new interfaces have grown in popularity, it's become clearer that the current tooling for understanding and analyzing text data is lacking. We built Tidepool to make it simpler to understand how users are interacting with text-based interfaces.
With Tidepool, you can not only explore how users interact with your product, you can build a suite of metrics to make product decisions, and export them directly into your analytics stack (e.g. Mode).
- Read our Quickstart Guide for information about how you can sign up and try Tidepool for free.
- Visit our website to learn more and see what others have been able to do with Tidepool.
- Join our Slack community to connect with the Aquarium team and stay up to date on the latest Tidepool updates.
Updated 3 months ago