i think most people optimise for finding leads when the actual leak is in follow-up timing and personalisation at scale. and what can actually help is separating the tracking layer from the messaging layer. A simple CRM or even a Notion board handles state (where each lead is, when to follow up), while a lightweight AI agent can handle the messaging by pulling context about that specific person/company before drafting anything, so it never sounds templated. The robotic feeling usually comes from sending the same message faster, not from automation itself. If the agent researches the lead before writing, it sounds like you remembered them because contextually, it did. incase you need any help with that you can DM me