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Terms of Use

Effective Date: February 27, 2026

Welcome to Kloddy. By accessing or using our platform, you agree to be bound by these Terms of Use. Kloddy provides a professional infrastructure for prompt engineering, model evaluation, and AI governance. Our tools are designed for all users—including executives, educators, parents, and developers—to transform AI interactions into a manageable and measurable system.

1. Account and Organization Management

  • Multi-Tenancy: The system supports multiple organizations within a single environment, allowing you to separate teams, clients, or products while maintaining centralized control.
  • Member Responsibility: As an Organization Owner, you are responsible for inviting members and managing their access levels.
  • Auditability: You acknowledge that every structural change, prompt edit, and team action is recorded in a detailed audit log for full traceability.

2. Prompt Engineering and Execution

  • Version Control: Every change to a prompt is recorded in an immutable version history, ensuring that your work is always stable and restorable.
  • Execution Models: Kloddy facilitates access to various AI models (e.g., GPT-4o, Claude, Gemini). You agree to comply with the terms of service of the third-party providers you select.
  • Variables: You are responsible for the content and security of data passed into dynamic variables ({{variable}}) during execution.

3. Evaluation and Quality Control

  • LLM-as-a-Judge: While Kloddy provides a framework to score outputs based on your criteria (Accuracy, Completeness, etc.), these scores are data-driven assessments and do not constitute a legal guarantee of AI performance.
  • User-Defined Criteria: You are responsible for defining the acceptance thresholds and failure conditions used to evaluate your prompts.

4. Costs and Billing

  • Transparency: Kloddy provides real-time visibility into cost per execution and historical spending.
  • Obligation: You are responsible for all costs incurred by your Organization based on the execution volume and the models selected.
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