ATG DAO

Every week brings new AI announcements. New models. New benchmarks. New claims of "state-of-the-art" performance.

But what does "93.2% on MMLU" actually mean for your business? How does "improved reasoning capabilities" translate to your daily workflow? When a model claims to be "better at coding," does that apply to your tech stack?

The AI industry speaks in a language designed for researchers, not practitioners.

Basekit exists to translate AI capabilities into natural language that connects to real work.

Instead of benchmark scores, we show you what each model actually does well and where it falls short in terms you already use: drafting emails, analyzing data, writing code, answering customer questions.

We track AI tools not by their technical specifications, but by the problems they solve. Not "retrieval-augmented generation" but "finds the right information in your documents." Not "multi-modal transformers" but "understands images and text together."

General-purpose AI is impressive. But the real transformation happens when AI tools are built for specific jobs.

A legal AI that understands case law. A medical AI that knows drug interactions. A coding assistant trained on your framework. These specialized tools don't just perform better, they understand the context of your work.

Basekit helps you find the right specialized tool for your specific challenge, whether that's an industry-specific model, a workflow automation platform, or an agentic framework that can handle multi-step processes.