gensai.aiA multi-agent system has several specialised AI agents cooperate: one searches, another writes, a third verifies. This division of labour improves quality and traceability on complex tasks, at the price of more demanding orchestration and communication protocols such as A2A.
In practice at Gensai
Gensai designs its multi-agent architectures around explicit roles and checkpoints, to remain auditable in production.
When to move to several agents?
When a task mixes distinct skills that benefit from being separated, for example searching for information, drafting and checking compliance. Each agent gets a role, tools and limited rights, and a coordinating agent or a workflow organises their exchanges. For a simple task, a single well-equipped agent remains more reliable and cheaper.
Common mistake
Multiplying agents because it is fashionable. Each added agent increases latency, cost and the risk of cascading errors. It is better to start simple and add an agent only when a measurable quality gain justifies it.
Same theme
Definition written with AI assistance, checked by Sébastien Lecocq, co-founder of Gensai.
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
Related services: AI agents