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.
Small, efficiency-tuned language models are beating GPT-5 and Gemini at brief compliance review — faster, cheaper, and more auditable.
A vendor-by-vendor look at AI creative fatigue detection tools that predict when sponsored formats will stop converting.
Klarna’s AI shopping assistant is quietly becoming a product discovery layer brands can’t yet measure or buy into.
A brand-side audit of Perplexity Shopping, ChatGPT Instant Checkout, and Google AI Mode Ads to guide Q1 budget allocation.
Nearly half of AI marketing programs underperform because of broken data foundations, not weak models — here’s how to diagnose the root cause.
A governance charter for AI format-prediction tools stops black-box outputs from steering cross-channel budgets without oversight, audit trails, or accountability.
AI marketing adoption nearly doubled, but ROI didn’t follow. Here’s why the gap exists and what fixes it.
A practical AI model deprecation playbook helps brands protect live creator campaigns when vendors retrain or retire the LLMs behind them.
Vector database adoption is now a marketing infrastructure decision — here’s how Pinecone, Weaviate, and Qdrant compare for creator content retrieval.
On-device AI personalization cuts latency and privacy risk, giving retail marketers a compliant edge over server-side models.