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.
Predictive creative recommendation engines let two-person agencies ship enterprise-level output volume without enterprise headcount.
A governance framework for AI agents that draft and deploy creator briefs, mapping exactly where human sign-off must remain non-negotiable.
A practical framework for scoring XR ONE-style format-prediction vendors on accuracy, latency, and true integration cost before you sign.
XR ONE promises faster campaign approvals than legacy ad-ops stacks — but the time-savings data only holds up under specific conditions.
XR ONE promises faster campaign approvals than legacy ad-ops stacks — but the timestamp data tells a more complicated story.
A technical breakdown of TikTok’s C2PA content provenance rollout — what the watermark actually verifies, and what it doesn’t.
A one-year audit of Google Ask Ad Manager reveals exactly where its autonomy stops and human approval still begins.
An AI agent kill-switch protocol gives brands the technical guardrails to halt runaway autonomous media buys before budgets burn.
A cost-per-variant breakdown of Sora, Veo 3, and Runway Gen-4 to help e-commerce brands pick the right generative video ad platform.
Most brands’ AI visibility score stalls after month three. Here’s why citation share plateaus and the exact playbook to break through it.