Today, we’re announcing the Arcus Task Playground – where you can easily interact with your data in order to create functional AI native workflows to get your work done.
At Arcus, our North Star is enabling anyone to build AI workflows that transform the way they work. AI takes care of the repetitive, mundane blockers, so work becomes more meaningful and more centric to you. This is only possible when you build a system that works for humans in the way humans work.
The Arcus Task Playground ingests your complex data and is capable of understanding not only text but complex items in files such as tables, graphs, charts, footnotes, asterisks, and more. This is a critical piece of any workflow, because the hardest parts of any workflow are in the nuances and details of your complex data.
The Arcus Task Playground also enables you to build complex reasoning capabilities right into your tasks – like performing complex computations and searching the web. These match the way that humans would do the work – augmenting their knowledge with tools that are reliable and robust. Playground also supports a collaborative, iterative task development experience through features such as task sharing and auditable output history.
Lastly, the Arcus Task Playground transforms the way you work by letting you see all the work that was done under-the-hood, in an easy to digest way. With our Show-Your-Work feature, you can see what data was used and what steps were taken, in order to achieve your tasks. This makes it easier than ever to trust the performance of AI to do real work.
We’ve talked in the past about architecting RAG for planet-scale data retrieval as well as the limitations we’ve seen in existing agent frameworks with using LLMs for real work. Playground is the first step to achieving this future of using agentic, data-intensive LLMs to do real work.
The Task Playground is just the beginning at Arcus. Reach out if you’re curious about what Arcus can do for your team or if you’re interested in joining our team! Together, we’re building a reality where you can focus on the work that matters most, and AI takes care of the rest.