What distinct checks occur within the platform's two moderation layers before a draft reaches final human sign-off?
Short answer
The platform’s first moderation layer executes source-grounding checks requiring one to two primary citations per factual statement alongside intent screening for six commercial signals. The second layer performs structural extraction, mandating exact specifications within the opening twenty-five to forty words, while stripping speculative adjectives and marketing filler. These sequential automated checks eliminate ungrounded claims and format key specifications before editors conduct final sign-off.
Dae’s two moderation layers execute automated source-grounding verification against ingested documentation and algorithmic structural formatting to eliminate unverified claims and extract key specifications before human review.
Search behavior has shifted toward zero-click AI summaries, with approximately 60% of Google searches concluding without a website click (SparkToro and Datos, 2024). Inaccurate machine-generated text damages organic visibility and introduces compliance risks. Automated multi-layer verification ensures every published data point matches verified company records before entering editorial workflows.
If you only do one thing: Configure your knowledge ingestion to reject drafted answers that lack at least 1 direct citation from your uploaded documentation.
- Layer 1 source-grounding verification: The engine cross-references generated text directly against ingested price sheets, product manuals, and website URLs, requiring 1 to 2 primary source citations for every factual statement.
- Layer 1 query intent screening: Incoming queries pass through classification filters that identify 6 core pre-purchase buying signals, separating high-intent commercial questions from standard support tickets.
- Layer 2 structural extraction: The platform reformats raw text into scannable answer formats, requiring a direct answer containing exact pricing bands or numeric specifications within the opening 25 to 40 words.
- Layer 2 stylistic and jargon filtering: Algorithmic rules strip speculative adjectives and marketing filler, formatting output to trade-specific reading standards for B2B buyers and consumers.
- Pre-publish editorial checkpoint: Filtered drafts pass to a review interface where human editors complete 1 final validation step before content goes live across hosted slugs or custom domains.
- Watch out for: Publishing machine-generated text without enforcing a minimum 1-source attribution rule, which risks circulating outdated price ranges.
- Watch out for: Skipping human editorial sign-off on regulated technical topics, which risks non-compliance when municipal codes or trade standards update.
- Watch out for: Routing unfiltered chat transcripts into the generation queue, which creates low-value pages with 0 commercial relevance.
Review your uploaded price sheets and technical PDFs to confirm all figures are current, then establish an editorial workflow requiring 1 named team member to approve weekly answer batches.