Annie Cushing recently published…
Lots of ideas there, either for AI-powered SaaS or setting up those agents for businesses.
For example 
Alumni career matcher
Manual: A staff member in Career Services checks LinkedIn profiles to see if alumni have changed jobs. They search for students with similar career goals by digging through spreadsheets or notes in the CRM. When they find a potential match, they write and send an introduction email manually.
Agent: A Python agent monitors job changes using the LinkedIn API (e.g., an alum is promoted to senior UX designer at Google). It compares the alum’s updated job title and skills with student interests stored in Salesforce. When a strong match is found, the agent drafts a personalized introduction email and sends it automatically—allowing Career Services to scale mentorship outreach to hundreds of students with no extra staff time.