Find Wasted Tokens in
Your AI Prompts
Paste any prompt and instantly see which phrases are redundant, how many tokens you're wasting, and get optimized rewrites — without losing performance.
Used by prompt engineers at AI-first startups. Cancel anytime.
Paste Your Prompt
Drop in any system prompt, user message, or chain-of-thought template.
Detect Waste
Our NLP engine tokenizes and flags redundant phrases, filler words, and repeated context.
Get Rewrites
Receive optimized versions with token counts and estimated cost savings per 1M calls.
Simple Pricing
- ✓ Unlimited prompt analyses
- ✓ Token waste heatmaps
- ✓ AI-powered rewrite suggestions
- ✓ Cost savings estimator
- ✓ API access for CI/CD pipelines
- ✓ Priority support
FAQ
How does the token waste detection work?
We tokenize your prompt using the same BPE tokenizer as GPT-4 and Claude, then apply NLP heuristics to identify redundant phrases, repeated context, and filler patterns that add tokens without improving model output.
Will the optimized prompts change my model's behavior?
Our rewrites are designed to preserve semantic meaning and intent. We flag any changes that could affect output and let you review before adopting them.
Can I use this with any LLM?
Yes. The analyzer is model-agnostic and works with OpenAI, Anthropic, Mistral, Llama, and any other token-based LLM. Token counts are shown for multiple tokenizers.