This post details building a cold email pipeline using Google Maps scraping for leads and Claude to generate personalized opening lines. It includes code for email delivery via Resend and a simple reply tracking setup.
A survey from Meta, Stanford, and Illinois suggests that AI agents perform better when code functions as their main working layer, a concept termed an "agent harness". This approach shifts AI's focus from mere text prediction to executable reasoning, enhancing its ability to handle complex tasks and minimize errors.
A user questions why an AI tool called Mythos isn't being used to fix all bugs in Claude's code, suggesting that if it's as effective as promised, it should be a simple task. The question raises the possibility that this solution hasn't been considered.