👍 I tend to agree with Kyle Poyar when he writes…
I believe that the ability to hire and manage AI agents will be a foundational skill for, well, everyone.
He goes on to give examples of AI agents that you could set up for clients 👇
LinkedIn engagement coach. Every month it analyzes Jacob’s recent posts and writes a digest of what’s going well and what’s not. This coach recently encouraged him to post on Saturday mornings, for example, which is when he’s most likely to go viral. This use case is fairly easy to copy with opportunities to customize the frequency of coaching, how to receive the output and any special instructions…
Competitor pricing tracker. It monitors competitor pricing changes by scraping competitor websites, analyzing the plans and sending alerts when there are significant updates…
Demo request qualifier agent. Relay.app collects demo requests through a HubSpot form, specifically asking for a LinkedIn URL (optional) and company name (mandatory). The AI agent then sends that information to OpenAI to make a decision to classify the demo request as either: qualified (if so, send a scheduling link), unqualified (if so, politely decline) or not sure (if so, escalate to the team via Slack).
Lots of platforms available now to build such agents, but the one Kyle highlights is Relay.app, which has a bunch of pre-built templates (like the above) that you can repurpose 😎
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