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Field notes for teams that need receipts
Essays on citation-verified AI, customer-voice extraction, and the operating systems behind defensible marketing work.
Good campaign thinking starts where the customer actually spoke.Evidence · Operations · Trust
From the archive
Research, workflows, and practical guides
Filtered by: AI citation verification


How to Evaluate AI Answer Verification Before Buying
Use this guide to evaluate AI answer verification for source grounding, citation quality, review status, and campaign activation.
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AI Citation Verification Mistakes That Create Campaign Rework
Avoid AI citation verification mistakes that create weak evidence trails, false confidence, and campaign rework.
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Source Linked AI Output Mistakes That Create Campaign Rework
Avoid source linked AI output mistakes that create false confidence, weak citations, and campaign rework.
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Best Practices for AI Provenance System in performance marketers
Best practices for an AI provenance system that helps performance marketers trace sources and reduce campaign risk.
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AI Answer Verification Checklist for client servicing teams
Use this AI answer verification checklist to review sources, claims, confidence, and next actions before using AI output.
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Why AI Citation Verification Matters for client servicing teams
AI citation verification helps client servicing teams trust, review, and explain AI-generated insights before campaigns move forward.
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Citation Verified AI: A Practical Guide for client servicing teams
A practical guide to citation verified AI for client servicing teams that need source-backed insights and fewer review loops.
Read field noteStart building from what your customers said.
Follow one source from raw conversation to a campaign claim your team can defend.