How Flowiz Uses AI to Prioritize Tasks
One of Flowiz’s most powerful features is its AI-driven task prioritization. In this post, we’ll explain how it works and show you how to get the most out of it.
How It Works
Flowiz analyzes your task patterns and suggests the optimal order to tackle your todos. The algorithm considers factors like:
- Time of day you prefer to work on certain tasks
- Estimated effort required
- Deadlines and due dates
- Your historical completion rates
Here’s a simplified view of how the prioritization engine works:
func prioritizeTasks(_ tasks: [Task]) -> [Task] {
return tasks.sorted { task1, task2 in
let score1 = calculatePriorityScore(task1)
let score2 = calculatePriorityScore(task2)
return score1 > score2
}
}
func calculatePriorityScore(_ task: Task) -> Double {
let deadlineFactor = task.deadline.map { deadlineScore($0) } ?? 0.5
let effortFactor = 1.0 - (task.estimatedMinutes / 60.0)
let patternFactor = userPattern.score(for: task.category)
return deadlineFactor * 0.4 + effortFactor * 0.3 + patternFactor * 0.3
}
Using AI Suggestions
When you open Flowiz in the morning, you’ll see your tasks reordered based on the AI’s analysis. You can accept the suggestions or drag to reorder manually.
The system learns from your adjustments. If you consistently move “coding” tasks to the top, Flowiz will start prioritizing them higher automatically.
Watch It in Action
Check out this video walkthrough of the AI prioritization feature:
Tips for Better Results
- Be consistent - The more you use Flowiz, the better it learns
- Set realistic deadlines - Overpromising leads to poor suggestions
- Categorize tasks - Use categories to help the AI understand patterns
Give it a try and let us know how the AI prioritization works for you!