Most AI tools hand you a result and ask you to trust it. This deep dive shows a different way: custom AI agents built by marketers, with the logic, guardrails, and permissions that make them actually useful.
Leur demonstrates how to build AI agents from scratch using an interface where users can either write instructions manually or collaborate with an AI to generate them.
Leur demonstrates an AI agent's ability to analyze marketing campaigns in real time. The agent identifies and fixes various campaign elements, including personalization attributes, email addresses, sender names, content types, subject lines, and UTM tracking
Leur describes a report generated by an AI agent designed for team delivery. The report includes an executive summary detailing the number of campaigns reviewed, auto-fixes applied, and remaining blockers.
Perspectives from marketing and product leaders at Calm, Amazon Music, Talkspace, and more on where AI ends and human judgement begins. Issue #1: Data · Available now | Issue #2: Personalization · August 2026 | Issue #3: Risks · November 2026
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