Engineering Approach: How Hightouch Built a Long-Running AI Agent System for Marketing Automation
By
thecr0w
Slow-proofed and worth the wait. Worth its weight in flour.
Summary
The article details how Hightouch engineers built a long-running AI agent system for marketing automation. It explains the technical challenges of creating agents that can handle sparse, open-ended marketing tasks over extended periods, including context management, state persistence, and graceful error handling. The piece focuses on the engineering approach rather than product promotion, covering architectural decisions, implementation strategies, and lessons learned from building a production-ready agent system.
Key quotes
· 4 pulledA lot has been said about the future of AI agents and their impact on our economy. Less has been said about how to actually build them.
It is essentially a general purpose marketing agent that can plan campaigns, ask any question or analysis of your data, analyze creative and copy, and automate marketing reporting.
A story of real context engineering: how Hightouch's engineers built a long running agent that smoothly handles sparse and open ended marketing tasks.
Though to developers, marketing is often viewed as, well, you know… I can tell you as both a developer...
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