HOW HIGHTOUCH BUILT THEIR LONG-RUNNING AGENT HARNESS

Summary from the TLDR Dev newsletter

Hightouch developed an AI marketing agent capable of complex, multi-step tasks. Its team explicitly separated the model's planning from its execution, allowing for dynamic plan updates as the agent learns from data. To manage context, they used "agentic delegation" through techniques like buffering large data to a temporary filesystem and spawning dynamic subagents for isolated, complex sub-tasks.