The Golden Metric

[kyegomez]

We're here to discuss a crucial aspect of our project - the User-Task-Completion-Satisfaction (UTCS) rate. This golden metric is the pulse of Swarms, reflecting our commitment to users and measuring our success.

The UTCS rate gauges how reliably and swiftly Swarms can meet user demands.

But what does it mean to complete a task to the user's satisfaction? It's about quality, speed, and reliability. It's about meeting or exceeding user expectations.

The UTCS rate is a mirror of the user experience. A high UTCS rate means users are getting what they need from Swarms, quickly and reliably. It's also a measure of Swarms' efficiency and effectiveness.

Achieving a 95% UTCS rate is a challenging goal, but it's a goal worth striving for. It's a goal that will drive us to improve, innovate, and deliver the best possible experience for our users.

We're implementing several strategies to reach this goal, including understanding user needs, improving system reliability, optimizing for speed, and iterating and improving.

But we want to hear from you.

• How do you think we can better understand user needs?
• What steps can we take to improve system reliability?
• How can we optimize Swarms for speed without sacrificing quality?
• What are some ways we can iterate and improve our system?

Your insights and suggestions are invaluable to us. Let's discuss how we can cultivate our golden metric and make Swarms the best it can be.

Looking forward to your thoughts and ideas!

[elder-plinius]

-Find a way to get feedback from all skill levels of prompting and technical expertise. A system that works great for one user might be unusable to another.
-"Explain like I'm 5" setup guide for non-coders including things like how to install Docker, how to get OpenAI API, which commands to enter for building image and running it, etc.
-Workspace and agent management could use improvement. Should make it stupid simple to view the filespace of the Swarm, how many agents are initialized and what their roles are, and allow users to change temperature or add custom instructions for each agent (while running Swarms).
-Would be nice to get Clippy-like suggestions from the system while running or at the end of a failed/interrupted run (could be a function of the boss agent). For example, "It seems this agent is attempting to do creative writing but your temperature is very low, leading to highly deterministic outputs. Would you like to raise the temperature of this agent by 0.5?" or "I see you are trying to get a complex output but your prompt is short and could use more detailed instructions. Would you like me to suggest 3 new prompts?"