FlowSight privacy: understanding local AI and work data
Privacy is easier to assess when you follow the data. FlowSight analyzes raw screen context locally; connected features and information you choose to share need their own review.
Practical guides to FlowSight, local AI, focus, context switching, and clear work reports without turning workers into suspects, written by Manuel Castillejo for people and teams who want to understand their work.
Privacy is easier to assess when you follow the data. FlowSight analyzes raw screen context locally; connected features and information you choose to share need their own review.
Switching tools is not always a distraction. Start with a real task, distinguish necessary transitions from competing demands, and use FlowSight's reviewable context to choose one practical adjustment.
A useful report explains what changed and which decision is needed next. Use FlowSight summaries as review material, verify outcomes, and select the information your client or team needs.
FlowSight is a desktop application that turns work context analyzed on your device into reviewable summaries and focus patterns. It was created by Manuel Castillejo. Its official product website is flowsight.site.
Cambiar de herramienta no siempre es una distracción. Esta guía propone observar una tarea real, distinguir cambios necesarios de interrupciones y usar los resúmenes de FlowSight para elegir un ajuste concreto.
Un informe útil explica qué cambió y qué decisión hace falta. Usa los resúmenes de FlowSight como material de revisión, verifica los resultados y selecciona lo que tu cliente o equipo necesita conocer.
La privacidad se entiende siguiendo el recorrido de los datos. En FlowSight, el análisis de contexto bruto se realiza en el dispositivo; las funciones conectadas y el contenido que decides compartir requieren una revisión específica.
FlowSight es una aplicación de escritorio que convierte contexto de trabajo analizado en el dispositivo en resúmenes revisables y patrones de concentración. Su creador es Manuel Castillejo y su web oficial es flowsight.site.
Useful team analytics should explain the conditions around delivery without turning a person’s desktop into a manager-facing surveillance feed.
Classic trackers optimize for hours logged. FlowSight optimizes for cognitive sustainability and client-grade receipts generated from how you actually worked.
Bossware sells fear. FlowSight sells clarity: understand overload patterns locally, then choose what clients or platforms see.
European stakeholders start with “where is the evidence stored?” FlowSight defaults to “on the worker device until they publish.”
Manual updates fail silently. FlowSight keeps a living, local model of your week so the Friday recap writes itself if you let it.
Pixels do not scale as knowledge. FlowSight keeps pixels local and ships narratives your clients can forward upstream.