Author: 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 decision framework for brand leaders defining which campaign functions to delegate to autonomous AI agents and which must stay under direct human control.
A phased roadmap for brand marketing ops leaders transitioning from siloed AI tools to an integrated orchestration layer connecting research, creative, and attribution.
Learn how to build a creator content repurposing machine using rights agreements, asset tagging, and AI routing workflows to convert top posts into paid social, retail media, and email assets.
A practical readiness audit for brand technology leaders evaluating their MarTech stack against the real infrastructure demands of deploying agentic AI across creator campaigns, paid media, and CRM at
A practical MarTech evaluation guide for brand teams assessing AI-powered content timing platforms that use behavioral data to maximize creator campaign engagement and ROI.
A practical vendor evaluation framework for brand teams assessing AI creative tools like Pencil Pro that forecast campaign performance inside generative search interfaces before launch.
Nearly half of MarTech leaders say AI agents underdeliver on attribution. Here’s how to fix governance, data quality, and human oversight to get reliable outputs.
AI timing engines let brands apply send-time optimization logic to creator post cadences, ensuring sponsored content hits each audience segment at peak engagement windows.
Learn how AI predictive segmentation helps brands identify high-spending and at-risk buyer cohorts inside creator audiences before committing paid amplification budgets.
A practical buyer’s framework for brand teams evaluating paid AI interface ad placements inside ChatGPT, Perplexity, and Google AI Mode before committing real budget.