Displays configurable periodic and inactivity reminders with popups offering Study Now or Later, returning Anki to review mode and helping users stay focused while studying.
Alternatives to Fatigue Alert
AnkiWeb addon 1071808091
AI answer
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Similar addons (found without AI)
Alerts users with an optional sound and pop-up when they review cards too quickly for each ease, showing elapsed time and advice to slow down, with configurable thresholds and messages.
Estimates daily review time by deck, adjusts for fatigue and retention, splits sessions into 30-minute morning, afternoon and evening blocks, simulates faster speeds, and allows excluding decks.
Automatically alerts, reveals answers, or fails cards when reviews take too long, with per-deck settings to encourage faster, more focused study.
Automatically rates typed answers as hard, good, or easy based on configurable response-time thresholds, with options for handling mismatches, multiple answer fields, and confirming ratings.
Displays deck-browser graphs of answer speed versus retention, a learning forecast, and new-card counts with time-remaining estimates.
Predicts remaining study time and finish time using an offline machine-learning model, with customizable progress displays, metrics, CSS styling, and fatigue alerts.
Integrates advanced AI into study sessions to generate targeted exam-style questions from decks and uploaded materials, assess answers in real time, and evaluate open-ended responses.
Adds an Explain button and dockable sidebar that uses Gemini AI to generate flashcard explanations, mnemonics, related concepts, and follow-up chat, with streaming responses and customizable prompts.
Adds configurable guided breathing breaks after a set number of reviewed cards, with reminders, breathing routines, voice guidance, bell sounds, snooze/dismiss options, and a launch hotkey.
Remaps arrow keys for answering and rating cards, adding smart question/answer context, customizable smooth scrolling, and a visual settings dashboard.
Automatically adjusts each card's ease factor after every review to converge on a target success rate, with configurable bounds, adjustment leash, and optional pass/fail two-button mode.