Ale Massa (Chief Product & AI Officer at Kavak) describes the decision to discard their existing multi-agent infrastructure following foundation model advancements.
Assertion Not checkable as stated
Massa: Kavak AI sales agents convert 2.1x better than human teams
“And it, at first it converted, like, 50% more than our human team, and now it's converting over that, like, 2.1 x more.”
Prediction Not checkable as stated
Massa: AI will likely be capable of CEO roles by 2035
“Is, is AI going to be able to do this job, like even the CEO job or jobs where the leadership is? And the answer honestly is probably yes. Like in 2035 with a rate of improvement, it will be able to do so.”
Assertion Not checkable as stated
Massa: Kavak Uses AI Agents as Managers Over Human Workers
“And then if you look at Kavak now, any process, it's really a collaboration of, Agents and humans, and sometimes like agents are the bosses or of humans, and sometimes humans are designing the agents.”
Insight
Massa: Multi-Agent Graph Harnesses Constrain Advanced Model Intelligence
“The intelligence now doesn't need like the graph and the multi-agent lattice work and harness because it will constrain this level of intelligence.”
Insight
Massa: Handing LLM tools to unchanged teams yields zero efficiency gains
“The first, and this is where I think many companies are stuck right now, is the first instinct is, okay, let's adopt AI. And you basically leave your structure as it is and just give ChatGPT or Claude to your team. And then there's no efficiencies. Your custom…”
Disclosure
Kavak Bet AI Agents Could Outperform Its Best Human Hires
“And this is the second bet that we made that, that we could build superhuman agents. This means that by every dimension that matters, like conversion, lifetime value customer experience, our agents would outperform the best human we had ever hired.”