AI Prompt Checker
Analyze and optimize your prompts for ChatGPT, Claude, and Gemini. Get instant feedback on frameworks and clarity.
Prompt Analysis
Master the Art of Prompt Engineering
LLMs like ChatGPT and Claude are powerful, but they are literal. A vague instruction leads to generic, hallucinated, or irrelevant outputs. The difference between a mediocre and a magical result is the prompt structure.
"Write a blog post about AI."
"Act as a Tech Journalist. Write a 1,000-word article..."
What is an AI Prompt Checker?
An AI Prompt Checker is a specialized tool that evaluates your prompts against engineering best practices. It identifies ambiguity, missing variables, and weak structures that lead to hallucinations, ensuring LLMs understand exactly what you need.
Benefits of AI Prompt Checker
Comprehensive Prompt Analysis
Our AI Prompt Checker provides detailed scoring and structural analysis tools to help you create production-ready prompts.
Framework Scoring
We validate your prompt against proven frameworks like CRISPE and CO-STAR to ensure structural completeness.
Tone Detection
Our AI analyzes the implied tone of your prompt (formal, casual, persuasive) to ensure it matches your audience.
Instant Optimization
Get a one-click rewritten version of your prompt that injects missing context and advanced reasoning patterns.
Hallucination Guard
We flag vague terms and open-ended requests that notoriously cause AI models to hallucinate facts.
Variable Check
Identifies if you have defined variables (e.g., [INSERT DATA]) but failed to provide the data source.
Privacy First
We analyze your prompt in real-time and discard it immediately. Your data is never used to train our models.
Who Is This For?
Developers
Debug prompts for LLM apps.
Marketers
Generate high-converting copy.
Writers
Overcome writer's block.
Students
Learn prompt engineering.
How to Start
Paste Draft
Enter your initial prompt into the scanner. It can be rough or incomplete.
Refine Settings
Optional: Specify your intended use case (e.g., "Email") for better context.
Get Results
View the score, copy the optimized version, and learn from the tips.
How It Works Technically
We don't just check for grammar. We check for engineering. Our system dissects your prompt against the top frameworks used by AI researchers.
Structural Parsing
We scan your prompt for key components: Persona, Context, Goal, Format, and Constraints.
Framework Grading
We check adherence to frameworks like CRISPE to identify gaps.
Semantic Update
Our AI rewrites your prompt, injecting missing context and Advanced Reasoning patterns.
Why Choose Our AI Prompt Checker ?
Reduce API Costs
Better prompts mean fewer retries. Get the right answer on the first shot.
Standardize Quality
Ensure your entire team uses the same high standard of prompt engineering.
Faster Iteration
Stop guessing what went wrong. See exactly which part of your prompt is weak.
Anatomy of a Perfect Prompt
Role & Capacity
Who should the AI act as? (e.g., "Senior React Developer" or "Marketing Expert")
Context & Insight
What is the background? (e.g., "Migrating legacy Vue code to Next.js 14")
Statement of Task
What exactly do you want? (e.g., "Write a safe migration script")
Format & Personality
How should it answer? (e.g., "Markdown table, professional tone, no conversational filler")
Common Questions about Prompt Engineering
What is the CRISPE framework?
CRISPE stands for Capacity, Role, Insight, Statement, Personality, and Experiment. It's a standard formula for ensuring an LLM has every piece of info needed.
Does this work for Midjourney?
Yes. While image models correspond to visual descriptors, the principle of "Specificity = Quality" is universal. Our checker identifies missing style constraints.
Why did you rewrite my prompt?
We provide an "Enhanced Version" to show you what "Good" looks like. Comparing your original to the enhanced version helps you learn effective patterns.
Is my data saved?
No. We process the prompt in real-time to analyze it and then discard it. We do not use your prompts to train our models.
Can I use variables in my prompts?
Yes! Our checker recognizes standard variable formats like ‘{{name}}’ or `[INSERT_DATA]` and won't flag them as missing information.
What is Few-Shot Prompting?
Few-shot prompting involves providing the AI with 1-3 examples of the input and output. This "trains" the model on the pattern you want.
Does length matter?
Yes, but relevance matters more. A 1,000-word prompt full of fluff is worse than a 50-word prompt with precise instructions.
Can I check prompts for coding tasks?
Yes, we check for context and constraints which are critical for code generation, ensuring the AI knows your tech stack and requirements.
How do I prevent hallucinations?
By providing clear constraints and explicit "grounding" data in your prompt. Our tool specifically checks for missing constraint sections.
Is this tool free to use?
Yes, we provide a free daily tier for checking prompts. Heavy users can upgrade for unlimited checks and team collaboration features.