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1 Update canonical JSON Publish the versioned source under the required `data/domain-specifications/` naming pattern.
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2 Validate against the root Confirm the document still satisfies the Specification Root contract.
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3 Align routes and redirects Make sure the canonical page and convenience route describe the same release.
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4 Refresh public page copy Keep the visible route, version, and summary synchronized.
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5 Confirm support artifacts Check that fixtures and support files still line up with the published version.
If the source, route, and support files disagree, the release is not truly published cleanly.
This guide is for the case where a domain has already been defined and you need to publish a new version cleanly.
The important idea is that the versioned Domain Specification is the canonical public document. Everything else should support that document, not compete with it.
Recommended Sequence Update the canonical JSON source under data/domain-specifications/ using the repository naming convention. Verify that the document still matches the Specification Root contract. Confirm the versioned public route and any convenience redirect route point to the intended canonical page. Update the public page copy so the visible route, version, and summary all describe the same release. Confirm support artifacts and fixtures still line up with the published version. Publication Checks The source file uses the required flat naming pattern. The public page reflects the exact version being published. The route inventory still points readers to the canonical versioned surface. The versioned page is easy to cite without relying on a convenience URL. Avoid Publishing a new version by editing only the human-facing page. Leaving redirect targets and source JSON out of sync. Using the convenience route as the long-term citation target when a versioned URL exists. Next
Structure Reusable Prompts
Close Terms of Service Welcome to Cuddler.dev. These terms describe the rules for using the Cuddler.dev website, including its documentation, schema artifacts, examples, embedded guidance, and related downloads.
Updated: March 21, 2026
Cuddler.dev is owned and operated by IdeaTilt Inc. If you enter into a commercial subscription, services engagement, or other contractual arrangement connected to Cuddler.dev, your contracting counterparty is IdeaTilt Inc.
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Close Privacy Policy Updated: March 21, 2026
Cuddler.dev is operated by IdeaTilt Inc. This policy explains how IdeaTilt Inc. collects, uses, stores, and protects information when you visit Cuddler.dev, request information, download public materials, or otherwise interact with the site.
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Updated: March 21, 2026
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Close AI Safety Policy Cuddler.dev is operated by IdeaTilt Inc. This policy explains how AI-assisted systems, generated outputs, and automation patterns associated with Cuddler.dev are expected to be used, reviewed, and constrained.
Updated: March 23, 2026
1. Purpose and Scope Cuddler.dev publishes standards, examples, schema artifacts, embedded guidance, and implementation guidance intended to support safe and structured AI-assisted document generation. This policy applies to AI-generated or AI-assisted content, workflows, and integrations that IdeaTilt Inc. publishes through Cuddler.dev or uses to operate related services.
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3. Validation Before Use Generated JSON and templates should be checked against the applicable schema, specification, or implementation contract before use. Validation failures, version mismatches, or unsafe render conditions should block downstream publishing or rendering. Examples and reusable artifacts should prefer deterministic, inspectable structures over opaque free-form output. 4. Safety Controls for Rendered Output Untrusted content should remain subject to strict sanitization by default. Scripts, unsafe embeds, event handlers, and non-whitelisted protocols should not be introduced through AI-generated templates or content. Any relaxation of sanitization or external-asset controls should be deliberate, reviewable, and appropriate to the trust level of the content source. 5. Data Handling and Confidentiality Artifact Documents are confidential by default unless explicitly designated otherwise. Users should not place confidential, regulated, or sensitive information into AI systems unless the applicable service, contract, and safeguards are appropriate for that information. Data shared with AI-assisted workflows should be limited to what is reasonably necessary for the task.
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