How AI can help engineers and technical founders to be both a doer and talker — Jason Tan // Engage AI

Show Notes

• 02:10
  Jasons background and journey to founding Engage AI

  Jason worked in data science and AI for pricing optimization before starting his own data science consulting company. His experience as a business owner led him to create Engage AI, a platform that helps SMB owners engage with prospects on LinkedIn.
• 05:17
  How Engage AI tackles the issue of standing out on LinkedIn

  LinkedIn is a powerful channel for B2B engagement, but the challenge SMB owners face is how time-consuming it is to get attention. However, Engage AI enables meaningful engagement through comments, recognizing the value of personalized interactions in B2B sales.
• 08:37
  Client data integration for quality comments with Engage AI

  Engage AI ensures quality comments by analyzing the context of clients' LinkedIn posts and focusing on relevant topics of discussion. Users can input business details into a custom prompt for personalized comments that support prospects while promoting their own businesses.
• 11:52
  Levels of automation in Engage AI

  Engage AI is typically used as a browser add-on, enabling users to quickly add context-aware comments directly to LinkedIn posts. Additionally, Engage AI offers automation features for monitoring and engaging with prospects, all while maintaining a balance to prevent spamming.
• 16:29
  How Engage AI gets around LinkedIns API constraints

  Currently, Engage AI doesn't track user comments but saves the comments made by its users. The primary challenge is obtaining data from LinkedIn's API to understand post context, and the hope is that LinkedIn will consider collaboration to enhance the platform for B2B sellers and SMB owners.
• 18:50
  Effective AI generated engagement with Engage AI

  Engage AI offers a range of tones for generating attention-grabbing content. The "Question" tone is a powerful option, asking insightful questions as comments instead of generic responses like "Thank you for sharing", which is more likely to spark meaningful interactions on LinkedIn.
• 22:34
  Balancing automation and human oversight in Engage AI

  Engage AI does not allow fully automated posting on behalf of users, and there is always a human in the loop. While some users have requested full automation, the company has rejected such requests to prevent misuse and spamming of the LinkedIn platform.
• 24:31
  Monitoring and addressing automation misuse on Engage AI

  Users engaging in spammy behavior run the risk of being banned from Engage AI and LinkedIn as LinkedIn monitors for unusual levels of activity. Users are educated on how to use the tool for B2B sales, emphasizing the importance of nurturing over automation.
• 26:06
  Unlocking the power of generative AI for sales enablement with Engage AI

  Generative AI is revolutionizing sales enablement with a time-saving solution like Engage AI. However, LinkedIn is just the beginning as Engage AIs aim is to expand into multiple channels and enhance conversation memory for email interactions.
• 27:42
  Adding long term memory to Engage AI for enhanced relationship building

  Engage AI utilizes various language models, including GPT 3.5, GPT-4, and AI21. With the addition of long-term memory, users will be able to deepen relationships with prospects by infusing historical references into interactions across various channels.
• 31:43
  Engage AI's experimentation with storing user comments for future reuse

  Engage AI is currently experimenting with storing comments made by Pro users and their interactions to enable reuse during future interactions. While its in the early stages, reception has been positive and Engage AI is focused on continuous improvement.