When AI Coworker acts by default and when it asks first
Learn how Dutify decides when AI Coworker should act by default and when a human must confirm, based on reversibility, exposure, and the cost of a wrong write.
Dutify Blog
Context, agents, and modern work - from the team building Dutify.
Why AI actions need a reproducible decision trail
Learn why reproducible AI actions require records of the original instruction, retrieved passages, model version, and human approval before any task or wiki change.
How task structure makes project boards usable for AI agents
Learn how clear statuses, custom fields, hierarchy, and views turn a project board into a reliable operating interface for AI agents in Dutify Cloud.
What is an AI context layer?
An AI context layer gives people and agents a governed, current view of your team's work. Learn what it contains, how it works, and how to build one without creating another data dump.
How to connect AI agents to your team's work - without handing over everything
A practical least-privilege pattern for agent access: scoped identities, permission-aware retrieval, bounded tools, approval gates, and an audit trail.
Meeting notes are not the point - decisions are
A transcript preserves what was said. Meeting intelligence becomes useful when it preserves decisions, owners, evidence, and follow-through. Here is how to build that workflow.