Given all of these capabilities, you might wonder, what are some real-world applications one can build with Rig? From what I've seen, developers, hobbyists, and companies are using Rig to build: - Intelligent customer support that understands company documentation - Research assistants that analyze thousands of documents in seconds - Code analysis tools that understand context across entire codebases - Content generation systems that maintain brand voice and accuracy - Decision engines that reason through complex business problems - OCR systems for processing and producing images With the recent initiative to support WASM with Rig, I anticipate even more exciting web applications with Rig very soon. (5/14)

If you're a dev interested in exploring Rig, start by adding the package with 'cargo add rig-core'. Resources and repo are at docs.rs/rig-core and github.com/0xPlaygrounds/rig…, where you can see real-world examples. Join the Rig community and contact core devs on Discord at discord.gg/UMx2pzgHhV. (13/14)

Once again, I'm truly honored to be building alongside the growing community of developers worldwide taking on the mantle of building the most robust, well-maintained, and feature-rich general-purpose Rust library for AI applications. Every issue, PR, and contribution goes a long way and makes a difference—after all, what is an ocean but a multitude of drops? Keep building, keep daring. Per aspera ad astra. (14/14)