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.
Benchmark data shows small language models cut brand compliance scanning costs 90% while matching frontier LLM accuracy on creator content review.
Before standardizing an agentic stack, brands must audit how vendors actually implement MCP, not just whether they claim support.
TikTok Symphony Agent and Meta Advantage+ both promise AI-matched creators and shoppable conversion — here’s how they actually stack up.
We compare NemoVideo, Opus Clip, and Descript on speed, brand safety, and ROI to help e-commerce teams pick the right AI video editing agent.
Documented AI agent media-buying error rates reveal why human checkpoints, not full autonomy, still protect ad budgets.
Server-side tracking platforms now outperform pixels on data accuracy and compliance — here’s what brands must change before Q1 renewals.
Identity resolution vendors are rebuilding for a cookieless, agent-driven web—here’s what brands need to know before their next renewal.
A practical framework for deciding when marketing data outgrows a CDP and needs Snowflake or Databricks for AI workloads.
Predictive casting tools promise to forecast creator ROI before you sign — here’s how to evaluate them without gambling your budget.
An AI governance charter with spend caps, kill switches, and escalation paths keeps marketing automation profitable and out of the headlines.