Project Management

AI Scientist includes built-in project management tools designed for research workflows. These help you organize experiments, track progress across the Design-Build-Test-Learn cycle, and maintain visibility into your project timeline.

Project Creation & Organization

Create projects to group related conversations, sequences, and documents together. Within each project you can:

• Set milestones to mark key deliverables (e.g., “Complete primer design”, “Verify assembly by sequencing”)
• Add checkpoints to track incremental progress within each milestone
• Organize work by experimental phase, sub-project, or team member

Projects persist across sessions, so your organizational structure is always available when you return.

Gantt Charts

AI Scientist generates interactive Gantt charts that visualize your project timeline:

• Dependency support — define task dependencies so downstream tasks automatically adjust when upstream tasks shift
• Batch creation — generate multiple tasks at once from a project outline
• Template reuse — save common project structures (e.g., a standard cloning workflow) as templates and reapply them to new projects
• Interactive editing — drag to adjust durations and dependencies directly on the chart

Project Dashboard

The project dashboard provides a high-level overview of your research progress:

• Progress indicators — see at a glance which milestones are on track, at risk, or completed
• Key metrics — track metrics relevant to your project (number of constructs designed, primers ordered, sequences verified)
• Activity timeline — review recent actions and decisions across all project conversations