With Personize.ai Agents, you can design and run multiple ChatGPT agents to collaboratively generate new content for each row in your database.
Imagine you're handling vast amounts of customer data. One customer, let's say Alex, has a history of purchases, product interests, and even notes from the sellers' previous interactions.
Here's how you can utilize Personize.ai agents:
Agent 1 (acts as a data analyst): Analyzes Alex's purchase history, focusing on the timing, quantity, and budget of past transactions.
Agent 2 (acts as an experienced salesperson): Delves into the product descriptions of items Alex has bought, pinpointing what exactly draws Alex’s interest.
Agent 3 (acts as an experienced email writer): With insights from Agents 1 and 2, crafts a personalized email to Alex, suggesting new items that align with past preferences and interests.
Each Agent has its unique reasoning framework, context, data, and responsibilities and it works collaboratively with other Agents to create content that resonates on a personal level.
The rationale behind this approach: We slow down Generative AI models to think before they write.
By breaking down the complex task of writing truly personalized emails to past e-commerce customers, we essentially force ChatGPT to slow down. Before writing the emails, ChatGPT should understand each customer by Agent1 and Agent 2 and then use its amazing writing power through Agent 3.
It's a strategy that goes beyond general personalization, offering a bespoke approach that speaks directly to the individual needs and interests of your customers.
Dive into Personize.ai and start experimenting with Agents to see how they can transform your customer interactions.