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Read third i articles on AI marketing operations, creative analysis, reporting, growth systems, and performance workflows.
GPT-6 Astra can operate more software, but useful marketing still depends on connected goals, economics, constraints, decision history and human approval.
A practical guide for agencies comparing six leading AI video models by the production job, controls, review burden and client risk that actually matter.
Meta AI and ChatGPT Ads signal a shift in paid media: teams will ask for answers and recommendations in chat. The differentiator is trusted context, evidence and human approval.
Google Analytics now flags missing aggregate identifiers. Learn why campaign measurement should be a pre-flight check before launch.
Agent Reach shows how quickly AI agents can gain access to the web, social platforms and research tools. For marketers, the real question is what context, permissions and review sit behind that access.
Kimi K3 is close to the frontier. The bigger shift is that teams now need to route AI work by context, risk, cost and control.
Compare Claude Sonnet 5, Opus 4.8 and Fable 5 by marketing task, cost, context, risk and approval requirements.
Meta has opened Ads AI Connectors in beta. Here is what marketers can do now, where the risks sit, and why cross-channel context still matters
Google’s new Images experience is a useful signal: creative is moving from something brands publish into something people browse, save and return to. That changes what marketers need to research before they make the next asset.
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