ESLint for AI Prompts
Your prompts are probably failing silently.
Analyze prompts for ambiguity, weak instructions, hallucination risks, and missing context before using AI.
Live Analyzer Preview
write email for product launch
Missing audience
Missing tone
Missing format
No constraints
Why prompts fail in production
Vague instructions causes silent quality regressions in AI workflows.
Inconsistent AI output causes silent quality regressions in AI workflows.
Hallucination risk causes silent quality regressions in AI workflows.
Missing constraints causes silent quality regressions in AI workflows.
Interactive Prompt Analyzer
Weak Prompt to Reliable Prompt
Before
write email for product launch
After
Act as a SaaS copywriter. Write a 150-word launch email for trial users in a confident tone, include 1 CTA, output as subject + body bullets.
Trusted by early AI teams
“Improved prompt consistency by 38% in 2 weeks.”
“Helped us standardize AI outputs across support workflows.”
“Feels like Grammarly for prompts, but built for engineers.”
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FAQ
What is prompt linting?
It is deterministic rule-based QA for prompts before running expensive AI workflows.
How is this different from ChatGPT?
This is reliability tooling, not a chatbot or text generation interface.
Will this support Claude/Gemini/OpenAI?
Yes, the linting model is provider-agnostic and designed for all major LLMs.
Is this for developers only?
No. Marketers, creators, and support teams can use it to improve output consistency.
How does scoring work?
A deterministic heuristic scoring model evaluates clarity, specificity, structure, and reliability.