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AI-Generated Content Notice

Last updated July 11, 2026

This is an editable starter document provided for convenience. It is not legal advice. Have a qualified professional review it before relying on it.

1. What This Notice Is

Idea to Life uses artificial intelligence to turn your ideas into working software. This notice explains, in plain language, what that means: which parts of the Service are AI-generated, the limitations of AI output, your responsibilities when using it, and how AI providers handle your prompts. It supplements our Terms of Service and Privacy Policy.

2. Outputs Are AI-Generated

The core artifacts the Service produces are generated by large language models from OpenAI and Anthropic, guided by our orchestration pipeline. This includes project blueprints and specifications derived from your idea, application source code, database schemas, tests, configuration files, and generated copy such as page text and documentation. Human beings at Idea to Life do not review your individual builds; the pipeline applies automated checks (linting, type checking, test execution, and deployment verification) but these checks are themselves limited.

3. AI Output May Contain Errors

Language models are probabilistic systems. Despite testing, generated applications may contain:

  • Functional bugs, including logic errors that automated tests did not catch.
  • Security weaknesses, such as insufficient input validation, permissive access rules, or unsafe handling of secrets.
  • Incorrect or fabricated content, including plausible-sounding text, sample data, or documentation that is wrong.
  • Licensing considerations, since generated code may resemble common patterns from publicly available code and pulls in open-source dependencies with their own licenses.
  • Outdated practices, where a model's knowledge lags behind the newest versions of frameworks and APIs.

Nothing generated by the Service should be treated as professional advice — legal, medical, financial, or otherwise — and generated applications are not certified for regulated or safety-critical use.

4. Your Responsibility to Review

You are responsible for reviewing, testing, and validating generated applications before using them in production or exposing them to real users and real data. At a minimum, we recommend that you: read the generated code or have someone qualified do so; run the application against realistic scenarios; review authentication, authorization, and data-handling paths; check dependency licenses if you plan to commercialize; and confirm compliance with laws that apply to your use case (for example privacy, consumer protection, or industry-specific rules). Deploying an application to your accounts is the beginning of your ownership, not the end of your diligence.

5. How AI Providers Handle Your Prompts

To generate your application, we send your project descriptions, blueprints, and relevant build context to OpenAI and Anthropic through their APIs. Those providers process this content according to their own API terms and data-usage policies, which include their handling of retention and abuse monitoring. Where the providers offer API tiers that do not use customer content for model training, we use them. If you bring your own API key, your prompts are processed under the agreement between you and that provider, and their handling of your content is governed by your account's terms with them. Do not include passwords, personal data about other people, or other sensitive information in project descriptions.

6. Honesty About Demos and Simulated Output

The platform never presents simulated demo output as real. When the Service shows you a preview, sample data, a mocked screen, or an illustrative example that was not produced by your actual deployed application, it is labeled as such. Build logs, test results, and deployment statuses shown in the app reflect what actually happened in your build; we do not fabricate success states. If any part of the interface is ever ambiguous about whether something is live output or an illustration, treat that as a bug and report it to us.

7. Feedback and Changes

AI capabilities evolve quickly, and we update our models, pipelines, and safeguards over time; the specific models used for a build may change without notice, though we aim for equal or better quality. We may update this notice to reflect new practices, and material changes will be announced through the Service. Questions about AI-generated content can be sent to our support contact listed in the app.