Skedai is an AI‑powered personal planning tool that creates a dynamic, end‑to‑end schedule for all aspects of a user’s life, not just work. It automatically orders tasks, suggests the next action, and instantly re‑optimizes the plan when priorities change, such as during finals week or a sick day, allowing users to rely on a continuously updated roadmap without manual adjustments.
Funding
Funding not disclosed
Founders
Product
Problem
People struggle to keep track of diverse commitments—work shifts, class schedules, assignments, and personal activities—using traditional calendars that require manual adjustments and cannot dynamically reprioritize. This leads to fragmented planning, missed deadlines, and inefficient use of time, especially when priorities shift suddenly.
Solution
Skedai is an AI‑powered personal planning platform that aggregates all of a user’s commitments into a single, continuously optimized schedule. The system automatically determines the optimal next action and updates the entire plan in seconds when priorities change, such as during finals, sick days, or family visits. Users can reprioritize on the fly without manually editing each event, allowing the scheduler to rebuild the plan around the new focus. The service operates quietly in the background, presenting clear “what to do next” prompts while handling the complex sequencing of tasks. Skedai is currently offered for free in beta, requiring no credit card or subscription.
Target Audience
Primary users are students, shift workers, and busy professionals who need to coordinate multiple, variable commitments within a single, adaptive schedule.
Features
- Unified schedule that incorporates work, school, and personal commitments into one AI‑driven plan
- Real‑time next‑action recommendations that indicate the optimal task to start immediately
- Instant reprioritization that rebuilds the entire schedule within seconds based on user‑selected priorities
- Automatic handling of variable event timings such as shifting classes, irregular work shifts, and clustered assignments
- Minimal user interface that hides the underlying optimization engine, reducing the need for manual adjustments