As we hand more autonomy to LLM agents, the hard engineering problem stops being "can the agent do the task" and becomes "how do we keep a human meaningfully in control without making them the bottlen… Ver más

As we hand more autonomy to LLM agents, the hard engineering problem stops being "can the agent do the task" and becomes "how do we keep a human meaningfully in control without making them the bottleneck?" This talk shares a concrete pattern I built and run: a harness of narrow, single-purpose agent "lenses" that detect and propose but are structurally prevented from acting. Each lens has exactly one job and runs on a schedule — watching a set of repositories, scouting ideas, surfacing opportunities — and emits structured output (cards on a project board) rather than taking action. A planning lens breaks those into small milestones, but only proposes; it never builds. The flow is gated by labels: items needing a human decision route to me, and only a human-applied "ready-to-build" label can trigger the one lens allowed to write code. The human checkpoints are structural, not a matter of discipline: an agent literally cannot promote its own work past a gate. The pattern is demonstrated on an open-source agent runtime, but it's framework-agnostic — anyone building toward agent autonomy can apply "narrow agents + structural human gates + propose, don't act." Sobre Nadia Ujovich: Soy ingeniera en sistemas de información recibida en 2017. Tengo más de 12 años de experiencia trabajando con tecnologías backend como Java y Python, pero de a poco empecé a transicionar al desarrollo web. Además, soy profesora de Informática Aplicada en una Licenciatura orientada a Deportes. Aficionada al Data Science y a la Inteligencia Artificial. Ver menos