Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.

Track yourself with actionable notifications that you can respond to directly from your iPhone or Apple Watch.

Optimize your trackings by measuring the effects of new behaviors experiments, aiming at improving your scores.

Gain insights from your tracking's analytics.

• Define tracking *
• Set up tracking question, for example: "How energetic are you?".
• Define emoji-based, scored responses.
• Set up times to be notified, for example: every day at 2 pm (after lunch), and 6:30 pm (before dinner).

• Track by responding directly from the notification, on your iPhone or Watch.

• Optimize yourself by experimenting with new behaviors *

• Set up a timed experiment (for example: practice meditation daily, starting today).

• Keep responding to your set-up tracks as usual.

• Measure the success of your behavioral change by comparing aggregated scores, within the experiment timeframe and out of it.

• Gain insights from your tracking analytics * View your tracking's aggregated scores by day of week, or time of the day (are your energy levels higher on Saturday? are they lower in the evenings?)