About
What is CLI to score AI prompts after a prod failure?
CostGuardAI is a CLI-based diagnostic tool designed to evaluate and score AI prompts, particularly after production failures. It helps developers and teams identify prompt quality issues that contribute to system errors, offering actionable feedback to improve AI system reliability. The tool scans prompts and AI workflows for risks such as jailbreaks, ambiguity, hallucination probability, and cost blowups before they reach production. It provides a CostGuardAI Safety Score, detailed risk factors, and recommendations for fixes. Analysis runs locally, ensuring privacy, and it integrates into CI/CD pipelines for preflight checks, allowing teams to catch risky and expensive prompts before deployment. It also offers features like token usage prediction, cost estimation, and historical drift tracking.
Best used for
Ideal for developers, product managers, and AI SaaS founders who need to analyze prompt quality, estimate token usage and cost, and prevent production failures. Especially valuable for integrating preflight checks into CI/CD pipelines to ensure reliable and cost-effective AI deployments.
Common actions
AI quality assuranceCLI toolAI prompt scoringprompt evaluationproduction debuggingincident responseLLM reliabilityfailure analysis
Capabilities
Key features
- AI prompt scoring
- Token usage prediction
- Cost estimation
- Failure probability analysis
- CI/CD integration
- Risk factor identification
- Fix recommendations
Target Audience
developerproduct managerstartup founder
Integrations
Not yet documentedPricing & Plans
Freemium · Paid · Enterprise
FAQs
What is the CostGuardAI Safety Score?
The CostGuardAI Safety Score is a metric from 0 to 100 that assesses the risk of an AI prompt. It considers factors like context pressure, output collision risk, and prompt verbosity. Scores below 60 indicate meaningful failure risk and warrant review before deployment.
Does CostGuardAI store my prompts?
No, CostGuardAI emphasizes privacy. Analysis runs locally on your machine, meaning your raw prompts never leave your browser or local environment. Only anonymized structural fingerprints are retained for signed-in history, not the prompt content itself.
How does CostGuardAI estimate costs for different LLMs?
CostGuardAI provides exact token counts and cost estimates for OpenAI models. For other models like Anthropic, Google, and Meta, it offers estimated counts, typically within a ±5-8% range. This allows for preflight cost analysis across various LLM providers.
Can CostGuardAI be integrated into a CI/CD pipeline?
Yes, CostGuardAI is designed for CI/CD integration. You can use the CLI to analyze prompt files and set up CI gates to block deployments if the Safety Score falls below a specified threshold, ensuring prompt quality before shipping to production.
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