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.
Nearly half of AI marketing agents fail because of broken data foundations, not weak models. Here’s the CMO diagnostic.
A practical framework for evaluating MCP and A2A protocol support before renewing your CRM or attribution vendor contract.
Flexible AI video billing is exposing the real cost curve of generative ad content, and it’s not the flat rate vendors pitch.
Google’s new AI-video billing models shift cost risk to brands. Here’s how to plan budgets before high-volume production scales out of control.
Google AI Mode’s background agents recommend products without a query. Here’s the structured data spec that gets brands surfaced continuously.
A retrieval-augmented verification layer catches hallucinated claims before AI creator briefs reach production and cost you compliance headaches.
A technical rollout plan for using retrieval-augmented generation to stop hallucinated ingredient claims before they ever reach publication.
Small language models scan ad creative for compliance on-device, cutting latency and cloud costs versus GPT-4 class LLMs. Here’s the benchmark data.
Autonomous rate renegotiation is coming to creator contracts. Here’s the governance framework procurement teams need before granting AI agents that authority.
A practical blueprint for building predictive audiences on governed AI so personalization stays compliant, resilient, and audit-ready.