Source-to-Publish Evidence Gate

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About Source-to-Publish Evidence Gate

Source-to-Publish Evidence Gate is a tool designed to finalize publication decisions by evaluating claims and evidence rather than collecting additional sources. It processes a public-safe manifest containing claims, evidence, mutable facts, and required follow-up actions to generate a reproducible PASS or HOLD decision. The tool does not perform live searches, fetch external data, or automate content extraction, focusing instead on verifying the sufficiency of provided evidence for publication. It is built for workflows where publication hinges on verifying mutable facts such as version numbers, availability dates, or compatibility details. The engine operates offline without network connections, telemetry, or account requirements, ensuring drafts and source text remain local. It supports three workflows tailored to AI news, technical articles, and business recommendations, each emphasizing different aspects of evidence verification. The free core version provides the core engine, while a paid private beta includes additional workflows and practical tools.

Key features

  • Offline engine with no network telemetry
  • Public-safe manifest processing for claims and evidence
  • PASS or HOLD decision generation based on mutable facts
  • Markdown and JSON report outputs
  • Three tailored workflows (AI news, technical articles, business recommendations)
  • Free core with MIT license
  • Version-pinned wheel execution via uvx
  • SHA-256 verification for downloaded packages

Use cases

  • Finalizing AI news publication decisions with verified announcements
  • Verifying technical article claims against documentation and source code
  • Evaluating business recommendations with evidence-based conditions

Pros

  • Generates reproducible PASS or HOLD decisions from provided evidence
  • Operates entirely offline without network connections or telemetry
  • Supports three distinct workflows for AI news, technical articles, and business recommendations
  • Produces versioned Markdown and JSON reports for transparency
  • Free core available with MIT license for local use

Cons

  • Private beta required for full workflow support
  • Limited to macOS 26 / Apple silicon / Python 3.10.8 in private beta
  • Does not fetch sources or automate claim extraction
  • No API or cloud-based functionality

Frequently asked questions about Source-to-Publish Evidence Gate

What does the Source-to-Publish Evidence Gate tool do?

The tool evaluates claims and evidence to finalize publication decisions by generating a reproducible PASS or HOLD result based on a provided public-safe manifest. It does not perform live searches, fetch external data, or automate content extraction.

Who is the Source-to-Publish Evidence Gate designed for?

It is built for workflows where publication hinges on verifying mutable facts such as version numbers, availability dates, or compatibility details, particularly in AI news, technical articles, and business recommendations.

Does the tool require an internet connection to operate?

No, the engine operates offline without network connections, telemetry, or account requirements, ensuring drafts and source text remain local.

What are the workflows supported by the tool?

The tool supports three workflows: AI News, Technical Article, and Business Recommendation, each tailored to emphasize different aspects of evidence verification for publication.

How can I get started with the Source-to-Publish Evidence Gate?

Download the free core version from the website, verify the SHA-256 digest, extract the archive, and run the engine locally using the provided manifest. The paid private beta offers additional workflows and tools.

What is the difference between the free core and the paid private beta?

The free core provides the core engine for processing manifests and generating PASS or HOLD decisions, while the paid private beta includes additional practical workflows and tools for broader use cases.

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