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.
How to evaluate agentic marketing operating systems against point-solution stacks before locking 2026 budgets and vendor contracts.
Before granting AI agents autonomous spend authority, brands must demand verifiable kill-switch standards, not vendor marketing promises.
Meta’s Advantage+ architecture now runs on Andromeda, Lattice, and GEM — here’s how brands must rebrief creative to win the auction.
Perplexity’s Comet browser is quietly reshaping product discovery — here’s what brands must fix in structured data to earn AI citations.
Google’s Ask Ad Manager can diagnose and explain, but where’s the line before a human must approve the action?
AI format-prediction tools promise to cut CTV-vs-social media waste, but the recommendations need human guardrails to actually save budget.
A practical framework for building human checkpoints before autonomous bidding tools spend real creator campaign budgets unsupervised.
Small language models cut brief generation and tagging costs by up to 90% while matching or beating GPT-class accuracy on narrow marketing tasks.
Generative AI can draft, target, and launch campaigns fast, but full automation still breaks without human judgment at key checkpoints.
AI adoption in marketing keeps climbing, but confidence in results is stalling. Here’s why the trust gap exists and how to close it.