Adapt vs Altitask

Adapt creates personalised revision plans for GCSE, A Level and other supported qualification students. The planner uses exam dates and available study time, then adjusts as a student progresses. Its catalogue lists more than 1,200 courses across 20 qualifications and levels, although the notes and practice questions available depend on the course. Premium adds teacher-written notes, audio lessons, unlimited quizzes and past-paper questions, worked explanations for multiple-choice answers, and hints for written questions. Students can also control topic rescheduling, daily subject mixing and how many weeks ahead to plan. Adapt for Schools gives teachers aggregated, anonymous class confidence ratings. A six-character code from a student's school is used to connect to the school service. The free plan includes ads, limited revision content and practice questions, and a weekly limit on note views. Adapt runs on web, iOS and Android. Premium Monthly costs £24.99 per month; one-time options include £89.99 for access until August 2027, £149.99 until August 2028, and £249.99 for lifetime access.

Altitask is a student planning workspace that turns course materials, lectures, and meetings into transcripts, summaries, tasks, projects, study plans, and calendar events. Students can import university calendars through ICS, schedule recurring classes, and create dated assignment tasks by uploading or pasting a.txt or.docx syllabus. Recorded lectures in.mp3,.wav,.m4a, or.mp4 format, up to 200 MB, become transcripts and summaries. The workspace includes tasks, projects, a calendar, TipTap rich-text notes, public-submission forms, and a kanban board. Its free plan includes 3 Altitasks, 25 tasks, 5 projects, 5 notes, and 5 forms, with unlimited calendar events. Pro costs $6.99 a month; Plus costs $9.99 a month and includes more monthly AI compute. An extra owned workspace costs $3.99 a month. Altitask says its self-hosted dww-farmer-v1 model handles summaries, task generation, and its 37-tool assistant, while transcription uses faster-whisper on its server. It says audio and notes stay on its own stack rather than being sent to OpenAI, Anthropic, or Groq.