#multi-agent-ai

#multi-agent-ai

Hakboian describes a pattern in which specialised agents: one for logs, one for metrics, one for runbooks and so on, are coordinated by a supervisor layer that decides who works on what and in what order. The aim, the author explains, is to reduce the cognitive load on the engineer by proposing hypotheses, drafting queries, and curating relevant context, rather than replacing the human entirely.

Flanks is shaking up the wealth management industry by making it simpler and way more efficient for financial institutions. Our SaaS platform is designed to help banks, family offices, and wealth managers get a full picture of their clients' financial assets-all in one place. 💼💡 Founded in 2019 and based in Barcelona, we've brought together a team of passionate wealth management and tech pros, all with a shared goal: to change how wealth management is done.

One AI agent manages automated campaign setup, turning a brand's brief into a contextual media plan ready to activate across platforms like YouTube, CTV, TikTok, Meta, and programmatic channels. A second agent ensures ads are delivered in brand-safe and contextually relevant environments. A third agent actively optimises campaigns in real time, adjusting targeting and placements to improve metrics such as engagement, viewability, and conversions. A fourth continuously analyses performance data to generate deeper insights and actionable recommendations.