ThinkWithPrompt by SynotticThinkWithPrompt

Build a weekly study schedule around my classes and job

A realistic recurring weekly schedule that fits classes, work, and commitments, with study blocks matched to each course.

Productivity & PlanningFew-ShotStandardProductivityPlanFill-in Template

The prompt

Build me a realistic weekly study schedule for this term. My classes: [COURSE, meeting days and times, how hard it is for me, typical weekly workload] Work or other fixed commitments: [JOB SHIFTS, SPORTS, CLUBS, COMMUTE, FAMILY RESPONSIBILITIES] When I focus best: [morning / afternoon / night] Sleep I need: [e.g. "in bed by 11:30, up at 7"] Big recurring deadlines: [e.g. "weekly lab report due Mondays", "problem sets Thursdays"] What's gone wrong in past terms: [e.g. "I cram on Sundays", "I skip readings"] Rules: - Use the common guideline of roughly 2 hours of study per credit hour in college (less in high school) as a starting point, then adjust to what's realistic for my load. - Put harder subjects in my best-focus times. - Keep study blocks 25-90 minutes with breaks; include a short review right after lectures where possible. - Protect sleep, meals, and at least one real rest block. - Leave flexible catch-up time each week. Return: 1. A weekly table: Time block | Mon to Sun. 2. What each study block is for (e.g. "Bio: read chapter before Tuesday lecture"). 3. A 10-minute Sunday planning routine to adjust for the coming week. 4. What to cut first in a heavy week. If the total doesn't fit, tell me honestly and suggest options to discuss with my advisor or employer.

Highlighted [brackets] are blanks to replace with your own details.

Fill in the blanks and use this promptMore Productivity & Planning prompts

What to fill in

  • JOB SHIFTS, SPORTS, CLUBS, COMMUTE, FAMILY RESPONSIBILITIES
  • morning / afternoon / night
  • e.g. "in bed by 11:30, up at 7"
  • e.g. "I cram on Sundays", "I skip readings"

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

Related prompts