Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
A practical framework for using retrieval-augmented generation to catch false product claims before creators ever see a brief.
A practical framework for testing CRM vendors’ agentic AI claims before signing, so brand teams buy capability, not slideware.
RAG cuts hallucinated claims in AI creative briefs by grounding outputs in verified brand data, not model guesswork.
A fine-tuned 3B model can outperform GPT-5 on creator brief tagging and compliance scanning, at a fraction of the cost.
A 3B-parameter model can tag briefs and draft captions cheaper and more accurately than GPT-5. Here’s when to make the switch.
Zoho SalesIQ and Salesforce Agentforce take different paths to creator lead attribution—here’s which one actually protects your ROI math.
A diagnostic framework for brands whose AI marketing tools underperform because data quality never caught up to adoption speed.
MCP and agent interoperability standards are reshaping vendor selection, favoring open marketing stacks over closed AI ecosystems.
Nearly half of AI marketing deployments underperform because brands scale models on broken identity data, not because the AI is weak.
Recast, Northbeam, and Triple Whale claim incrementality accuracy—but mid-market brands need to know which claims hold up under real budget pressure.