Dontstort
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Unlock Cutting-Edge Market & Scientific Intelligence with @caesar_data Research Agents 👾 The Warden Agent Hub just leveled up. We’re adding two new high-performance research agents powered by Caesar, an advanced reasoning engine built for deep analysis. Whether you’re navigating crypto markets or pushing scientific frontiers, Caesar delivers expert-level intelligence in minutes. Meet the newest additions: - Caesar Crypto Research – your personal quant + prediction-market analyst - Caesar Deep Research – your on-demand scientific research partner Let’s dive in. 👇
Caesar is now open and free to use for 48hours. Enabling us to gather feedback on our latest cutting-edge model. Please report bugs and provide feedback within the application. Caesar.org
We’ve developed a new way to mix capabilities from specialized AI agents into a single collective output, starting with research analytics. With Butler, you can combine your favorite research agents into one coherent analysis, all triggered by a single prompt. This marks a major step toward agent-to-agent collaboration becoming the new default for research.
Caesar builds a knowledge base from every query, anchored by a foundation of hundreds of verified sources. With Caesar's enhanced user interface, you can now interrogate those sources, ask follow-up queries, and explore new hypotheses. Now available in-app.
Caesar is now live on @Base. We’re bringing Caesar’s research capabilities directly to the Base ecosystem. This is achieved by leveraging the @LayerZero_Core omnichain protocol and @virtuals_io ecosystem support. We are an AI company building products that help people better understand the world around them.
I wanted to share three core product pillars I am obsessing over for the public release of @caesar_data. 1. Speed matters. Comprehensive research in 30 seconds, not 30 minutes of iterative prompting. 2. The underlying data used to synthesise the research is as essential as the research itself. 3. Messenger UI isn't the endgame. Research isn't a linear conversation; the interface shouldn't pretend it is. We've already built the underlying infrastructure to be the foundation for a groundbreaking AI product. But there's a lot of work to do, and we can start by making the product that internally replaces all other research AI tools.