Practicing Long-Running Async AI Workflows: Automating Sales and Conversion
edgarpavlovsky · x · 2026-08-01
The author shares practical experience in ramping up long-running, asynchronous AI workflows internally. They highlight a simple but powerful use case: finding prospects, sending emails, monitoring responses, and autonomously managing conversations towards conversion.
The core value proposition is delegating the mental load, which accounts for 90% of the benefit. The author argues that applied AI should focus on:
- Decreasing human context load
- Decreasing exhausting work
- Increasing stimulating and substantive work
The ultimate goal is to magnify human impact by letting AI handle chores, leaving humans with creative tasks.
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