diff --git a/interfaces/overview.mdx b/interfaces/overview.mdx index 08dcd4629..b94371c94 100644 --- a/interfaces/overview.mdx +++ b/interfaces/overview.mdx @@ -2,26 +2,27 @@ title: 'Overview' --- -Interfaces are **fully hackable**, which you can use to build *personalized* pipelines -for: logging, evaluations, guardrails, human labelling, agentic workflows, -self-optimization, and more. +Interfaces are **fully hackable**, which you can use to build *custom* interfaces for: +logging, evals, guardrails, labelling, tracing, agents, human-in-the-loop, hyperparam sweeps, +and anything else you can think of ✨ -simply `unify.log` your data, and then compose your own custom interface using the -three core building blocks: (1) **tables**, (2) **plots** and (3) **views**. +Just `unify.log` your data, and add an interface using the four building blocks: -Despite the explosion of LLM tools, many of these are inflexible, overly abstracted, and -complex to navigate. +1. **tables** đŸ”ĸ +2. **views** 🔍 +3. **plots** 📊 +4. **editor** 🕹ī¸ (coming soon) -Tooling requirements constantly change across *projects*, across *teams*, and across -*time*. We've therefore made Unify as simple, modular and hackable as possible, so you -can spin up and iterate on the *exact* AI platform that **you** need, in **seconds** ⚡ +Every LLM product has **unique** and **changing** requirements, as do the **users**. +Your infra should reflect this! -Rather than going through *each concept* in detail, we explain interfaces through a -simple *case study*, where we're building an education app for students. +
+ + + +
-This single case study walks through the use of **logging**, **evaluating** and -**debugging** the LLM application. This is by no means an exhaustive list (you can -build an interface for pretty much *anything*), but it should give you an idea of -how flexible and hackable interfaces are 🛠ī¸ +We've tried to make Unify as **(a) simple**, **(b) modular** and **(c) hackable** as possible, +so you can quickly probe, analyze, and iterate on the data that's important for **you**, your **product** and your **users** ⚡ Head over to the next page to dive in! ➡ī¸