Step-by-Step Math Tutor with Diagnostic Error Analysis
Diagnoses *why* a student got a math problem wrong (not just whether they did) by reverse-engineering their work, identifying the conceptual misconception behind the error, then re-teaching with a worked example, two scaffolded practice problems, and a metacognitive prompt — modeled on the techniques of expert math educators.
About this prompt
When to use this prompt
- check_circleHomework help apps that diagnose student misconceptions instead of just giving answers
- check_circleTeachers generating differentiated re-teaching content for specific identified errors
- check_circleParents supporting middle and high school math without remembering the curriculum themselves
Example output
Latest Insights
Stay ahead with the latest in prompt engineering.
How to Write System Prompts That Actually Work
System prompts set the rules of the game for every AI interaction. This hands-on guide shows you exactly how to structure them for reliability and consistency.
Claude vs GPT-4o: Which Model Fits Your Use Case?
Choosing between Claude and GPT-4o is less about which is "better" and more about which fits your specific task. Here is a practical breakdown.
How Our Design Team Cut Brief-Writing Time by 70% with AI
A real-world case study on how a 12-person design team at a product agency standardised their creative brief process using prompt templates on PromptShip.
Why AI Hallucinations Happen (and How to Reduce Them)
Hallucinations are not bugs — they are a fundamental property of how language models work. Understanding why they happen is the first step to minimising them.
The State of AI Coding Assistants in 2026
From autocomplete to autonomous agents — AI coding tools have changed dramatically. Here is where things stand and what to expect next.
From Idea to Shipped Prompt: A Solo Founder's AI Workflow
One founder. No team. A dozen AI-powered tools and a tight prompt library. Here is the workflow that runs a bootstrapped SaaS doing $15k MRR.
Recommended Prompts
University Lecture Architect with Active-Learning Engagement
Designs a 50/75/90-minute university lecture using evidence-based active learning techniques (think-pair-share, peer instruction, retrieval practice, concept tests) instead of passive 90-minute monologues — every 12-15 minutes a student-engagement break, with timing, slide cues, and discussion prompts.
Feynman-Technique Concept Explainer with Multi-Grade Scaffolding
Explains a hard concept four times — for a 5-year-old, a 10-year-old, a high schooler, and a graduate student — using only words at each level's vocabulary, then surfaces the analogy's limits and the questions to ask next, applying Richard Feynman's pedagogical method.
Growth-Mindset Constructive Student Feedback Writer
Writes specific, actionable, growth-mindset feedback on student work that names exactly what the student did (good and weak), points to one targeted next step, and avoids the empty praise / harsh criticism / vague-suggestion traps that undermine motivation and learning.
Socratic Dialogue Generator for Difficult Concepts
Generates a multi-turn Socratic dialogue between a teacher and student that walks through a difficult concept by asking questions — not telling answers — surfacing the student's intuitions, exposing contradictions, and arriving at understanding through guided self-discovery.
Advanced Education Training Analysis
Expert-crafted prompt for advanced education training analysis — delivers specific, actionable guidance for education training practitioners who need results, not theory.
STEM Education Program Designer
Comprehensive stem education program designer for improved learning outcomes and educational effectiveness.
Token Counter
Real-time tokenizer for GPT & Claude.
Cost Tracking
Analytics for model expenditure.
API Endpoints
Deploy prompts as managed endpoints.
Auto-Eval
Quality scoring using similarity benchmarks.