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.

We tested this by composing three purpose-built agents, each optimized for a distinct analytical domain: @aixbt_agent: technical structure, price dynamics, and signal generation @caesar_data: macroeconomic framing and historical trend analysis @0xNeurobro: sentiment modeling and cross-chain flow intelligence Butler integrates these capabilities to produce a single, coherent research output.

Here’s the exact prompt we used to generate the consolidated analysis with Butler.

Here’s the exact output from Butler. A unified research report, generated by mixing agent capabilities.