Agents Prompt People: Using Agents for Long-Horizon Financial Work
Why CEREBRO kept it
Novel long-horizon agent harness and persistent memory patterns
The text below is an automated extraction of the article at https://latent.space/p/arca/, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (latent.space).
At AI Engineer New York this month, we sat down with Aman Singh, the lead AI Engineer at Arca, an “AI-native” company providing wealth management services. We discovered that while agents do most of the background work in the firm, there are guardrails in place to ensure that human advisors are making the final decisions. The goal is for AI to guide the process; or as Singh nicely put it, “agents prompt people more than people prompt agents.” Arca recently raised $48.5 Million in a round led by General Catalyst, with participation from Index Ventures and Venrock. One of the features of using A
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