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rivva

AI Schedule & Planner | Your Day, Planned Around Your Energy

2026-02-09

Product Introduction

  1. Definition: rivva is an AI-driven task management and calendar optimization platform (technical category: cognitive productivity software) that dynamically schedules work based on user-specific energy patterns, cognitive load, and calendar constraints.
  2. Core Value Proposition: rivva exists to eliminate productivity inefficiencies caused by misaligned task timing, ensuring high-focus work occurs during peak cognitive capacity. Primary keywords: AI task scheduler, energy-based planning, cognitive load optimization, adaptive calendar tool.

Main Features

  1. AI Task Scheduling Engine: Uses machine learning to analyze task complexity (e.g., focus intensity), user energy forecasts (via Apple Health sleep/movement data), and calendar gaps. Automatically assigns tasks to optimal time slots, dynamically readjusting for disruptions like meeting delays.
  2. Unified Work Hub: Aggregates tasks from email, manual entries, and documents (e.g., Notion comments) into a single dashboard. Employs NLP to auto-categorize and prioritize items, reducing manual triage.
  3. Energy Timeline: Generates real-time focus forecasts by syncing wearables (Apple Health) to track sleep quality, movement, and historical energy patterns. Visualizes peak/off-peak cognitive windows for proactive planning.
  4. Nia AI Assistant: An LLM-based conversational agent that executes commands (e.g., "reschedule low-priority tasks," "break down project X"). Leverages user context, workload, and energy data to adapt schedules, shield focus time, or suggest optimizations.
  5. Adaptive Daily Planner: Merges tasks and meetings from multiple calendars (e.g., Google, Outlook) into one view. Auto-reorders tasks during disruptions using constraint-based algorithms to maintain workflow integrity.

Problems Solved

  1. Pain Point: Traditional tools (e.g., Todoist, Google Calendar) ignore biological constraints, scheduling high-focus tasks during energy lows—leading to burnout, missed deadlines, and context-switching fatigue.
  2. Target Audience:
    • Neurodivergent Professionals: Mitigates executive dysfunction via energy-aligned scheduling.
    • Founders/Executives: Manages high-stakes tasks during peak cognitive windows.
    • Operations Managers: Automates prioritization of fluid, urgent tasks.
    • Creatives/Freelancers: Aligns erratic energy with deep work sessions.
  3. Use Cases:
    • Scheduling critical strategy work during morning energy peaks (post-sleep analysis).
    • Rescheduling meetings automatically to protect high-focus creative blocks.
    • Surfacinging forgotten email commitments via NLP extraction.

Unique Advantages

  1. Differentiation: Unlike time-blocking tools (e.g., Reclaim) or task managers (e.g., Asana), rivva integrates biometric signals (sleep, movement) with calendar/task data. Competitors optimize for time efficiency; rivva optimizes for cognitive efficiency.
  2. Key Innovation: Proprietary Energy Timeline algorithm, converting wearable data into a predictive focus-capacity model. This human-centric approach replaces rigid scheduling with adaptive, physiology-informed planning.

Frequently Asked Questions (FAQ)

  1. How does rivva ensure privacy with health data?
    All health data (e.g., Apple Health metrics) is end-to-end encrypted, anonymized for system insights, and never sold/shared. Users control data access permissions.
  2. Can rivva replace project management tools like Asana?
    rivva complements tools like Asana by optimizing when tasks occur based on energy. It syncs tasks from email/docs but doesn’t yet replace collaborative PM features (Teams version upcoming).
  3. What if rivva’s schedule conflicts with my preferences?
    Users manually override any task timing, and Nia learns from adjustments. The AI refines predictions based on recurring feedback.
  4. Does rivva support Android or desktop?
    Currently iOS-only for energy tracking; web/desktop access is for task management. Android support is planned.
  5. How accurate is rivva’s energy forecasting?
    Accuracy improves via machine learning analyzing historical patterns. Initial forecasts use sleep/movement baselines; users report 85%+ alignment after 2 weeks of use.

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