"I built a self-improving cold email agent that combines two recent AI breakthroughs — here's what it does and how it works" from Reddit r/saas, ranked #24. By PhotographFamiliar31, 1 score, 1 comments. Data from Daily Trends.
I built a self-improving cold email agent that combines two recent AI breakthroughs — here's what it does and how it works
- Rank
- 24
- Subreddit
- r/saas
- Author
- PhotographFamiliar31
- Score
- 1
- Comments
- 1
- Posted
- 3/25/2026, 9:59:53 PM
- Snapshot
- 3/26/2026, 12:00:00 AM
Links
Content
Hey everyone — I want to share something I built over the last few days and get honest feedback. Quick background: I'm a tool maker with twenty years in online marketing — not a cold email expert. About a month ago, two things happened in the AI world that caught my attention. Andrej Karpathy published a scientific testing framework for AI agents — essentially a way to generate, score, and iterate on outputs in a loop before you ever use them. Around the same time, NousResearch released Hermes Agent — a persistent memory framework (MIT licensed) where memory is organized by context and gets better with use. I realized these two ideas could be combined into a tool for cold email generation that actually improves over time. So I built it. What it does: You give it your niche, target persona, and campaign purpose. It generates 5 complete email sequences, scores them against each other, and keeps the winners. That's the Karpathy loop part. Then after you send those emails and get real...