Audit & QA Protocol

Content pillars and use cases are defined and approved by a human. This ensures that every signal aligns with your brand's strategic goals and target audience.

Brand vocabulary, tone guidelines, and do-not-say rules are established upfront. This ensures consistent brand voice across all signals.

Source and citation rules are defined, including requirements to always link back to original publishers when external sources are used.

The system automatically generates draft signals and supporting structure, including titles, summaries, and structured sections optimized for AI retrieval.

When enabled, the system also generates audio versions and social media snippets to extend signal reach across multiple channels.

Every signal is checked for proper format, missing sections, and broken links before publication.

When claims rely on external sources, the system verifies that proper source links are included and functional.

The system checks for excessive duplication or repetition to ensure each signal provides unique value.

Basic policy rules are enforced automatically to ensure signals align with brand guidelines and safety standards.

First signals are reviewed during onboarding to validate tone, topic alignment, and quality standards.

We conduct ongoing spot checks and sampling to monitor quality and catch edge cases that automated checks might miss.

Edge cases and flagged items are escalated for human review, ensuring that unusual situations receive appropriate attention.

Readers can report issues directly from each signal page. All reports are reviewed and addressed promptly.

When issues are identified, we correct or remove content as appropriate. For takedown requests, see our Fair Use & DMCA Policy.