Promptometer
Promptometer analyzes your AI prompts and provides feedback on their effectiveness. Get instant insights on specificity, clarity, and structure for better AI interactions.
Analysis Results
Assessment:
Your prompt demonstrates good specificity with clear context and expectations...
Suggestions for improvement:
- • Consider adding more context about the target audience
- • Specify the desired output format
How it works
Our system uses an LLM-as-judge approach powered by GPT-OSS running locally through Ollama. When you submit a system prompt, it's analyzed against established best practices from Anthropic's research on effective context engineering.
The evaluation focuses on finding the 'Goldilocks zone' – prompts that are specific enough to guide behavior effectively, yet flexible enough to work across different scenarios. We assess clarity, token efficiency, structural organization, and how well they manage the model's limited attention budget.
Privacy First: Your prompts are processed through Ollama and never stored anywhere.
Ollama claims to never store system prompts on their systems, remaining completely private.
Evaluation criteria based on research from Anthropic's blog post on context engineering for AI agents.
Building AI Agents? We Should Talk.
If you're here testing system prompts, you're probably building something interesting with AI. Whether you're creating agents, automating workflows, or integrating AI into your business processes, the quality of your prompts directly impacts your results.
We help companies turn AI experiments into production-ready systems that actually work. From prompt optimization to full agent architectures, we've seen what separates successful AI implementations from expensive experiments.
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