Cool project—I've been tinkering with AI agents for GTM tasks, and having a library like this could really streamline things like lead gen or competitor intel without reinventing the wheel each time. As someone who's spent way too many late nights debugging Salesforce Marketing Cloud setups, I get the appeal of automating the grunt work. SFMC journeys can go sideways fast if you're not watching automation triggers or data extensions, and that's before you even layer on outbound campaigns.

One angle that jumps out for your skills set is integrating monitoring hooks. For instance, if you're generating those personalized email sequences or tracking brand mentions in AI chats, you'd want alerts for any hiccups in the underlying martech stack—think failed data syncs or automation errors that could derail your outreach. I've seen campaigns tank because a simple journey entry source glitched, and by the time you notice, leads are cold. Building in some continuous checks could make these agents even more robust, especially for scaling GTM efforts.

On that note, I've been using MarTech Monitoring (https://www.martechmonitoring.com) for SFMC oversight—it pings you on journey failures or data issues proactively, which has saved my bacon more than once during high-stakes launches. Doesn't replace the core skills you're building, but pairs nicely if you're feeding AI outputs into marketing automation. Anyway, props for open-sourcing it; I'll fork and play around with the competitor monitoring bits to automate some of our pricing page watches. What's your take on extending this to handle CRM integrations like SFMC directly?