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Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.
Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.
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442 verified findings across the displayed surfaces.
281 verified findings across the displayed surfaces.
Empty Comparison Slot
ChatDev has moderate defaults; Leonardo.AI carries the most permissive license terms of the set.FOR ENTERPRISE: CHATDEV ENTERPRISE TIER ACCEPTABLE · LEONARDO.AI NOT RECOMMENDED
| RISK SURFACE | CHATDEV | LEONARDO.AI |
|---|---|---|
| PPrompt Ownership | ||
| OOutput Ownership | ||
| TModel Training | ||
| CCommercial Use | ||
| DData Privacy | ||
| $Tier Differences |
“ Short version: We own the service and all of our content. In order for you to use our content, we give you certain rights to it, but you may only use our content in the way we have allowed. ”
“**9.1** We own all intellectual property rights in our Services (including our Platform). This includes how our Platform looks and functions, as well as our copyrighted works, trademarks, inventions, designs and other intellectual property, including Our Materials. You agree not…”
“ GitHub and our licensors, vendors, agents, and/or our content providers retain ownership of all intellectual property rights of any kind related to the Website and Service. We reserve all rights that are not expressly granted to you under this Agreement or by law. The look and f…”
“**7.2** Subject to your Consumer Law Rights, the Generated Content is provided “as is” without warranties of any kind, either expressed or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, title or non-infringement. We disclaim…”
“ You grant GitHub and our Affiliates the right to store, host, archive, parse, display, and make copies of Your Content as necessary to provide, develop, and improve the Service, including by training AI Features, and for the purpose of training, developing, and improving artific…”
“For Service improvement (including analytics and machine learning):** We may analyse your Content and related data in your account to improve the Service, and to train our algorithms, models, and AI products and services using machine learning to develop, improve and provide our…”
By default, user content is used for model training. Opt-out requires a paid subscription and use of the private generation mode — free-tier users have no opt-out.
“ Vendors, Partners, and Affiliates: We may receive information about you from third parties, like vendors, resellers, partners, or affiliates for the purposes outlined in this statement.”
“- our [privacy policy](https://leonardo.ai/privacy-policy) and our [data processing addendum](https://leonardo.ai/data-processing-addendum) (on our website) which each set out how we handle the Personal Data of our users and commercial customers (as applicable);”
“ Our Services are not intended for individuals under the age of 13. We do not intentionally gather Personal Data from such individuals. If you become aware that a minor has provided us with Personal Data, please notify us .”
“**10.5** You must only disclose Personal Data to us if you have the right to do so (such as having the individual’s express consent).”
“ You must be age 13 or older. While we are thrilled to see brilliant young coders get excited by learning to program, we must comply with United States law. GitHub does not target our Service to children under 13, and we do not permit any Users under 13 on our Service. If we lear…”
“With a paid subscription, you have control over who can see your generated Content. When you use private mode, your generated Content cannot be accessed or used by other users. If private mode is turned off, your Content is considered public and can be accessed and used by other…”
Free-tier users have no privacy controls: all generated content is public by default, indexed by search engines, and accessible to other users. This is a significant tier-based privacy disparity.