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“AI-generated text feels somewhat inorganic and ‘bot-like’.” This may be a common perception many people have of generative AI. However, posts generated by inspireXgrowth are praised as “Sounds like you.” This article delves into the technical mechanisms behind its core value, “complete persona reproduction.”

To put it simply, inspireXgrowth’s AI doesn’t operate on mere prompt engineering. Its secret lies in a unique architecture that combines multiple information sources, providing AI with a layered “context” for its thought process.

The foundation for everything is the **”Brand DNA”** introduced in the first installment. This is akin to a “constitution” that teaches the AI the brand’s unchangeable values.

However, brand essence alone doesn’t create a human touch. Therefore, we added a **”Persona (personality and tone)”** layer on top of it. By analyzing past post logs and sample tones you’ve defined, we meticulously control the tone and manner.

Furthermore, to make the AI’s output richer and more reliable, we have adopted a RAG (Retrieval-Augmented Generation) like approach. Specifically, we reference **product information (shop_items) and shop trivia (shop_knowledges)** registered as structured data in our database.

Imagine this: your cafe is posting about a new product, the “Spring Sakura Latte.”

1. First, the AI retrieves accurate information from the structured data (shop_items), such as the price of the “Spring Sakura Latte” (650 yen) and “uses domestically pickled cherry blossoms.”

2. Next, it refers to the Brand DNA to incorporate the brand’s core value of “commitment to organic ingredients” into the post.

3. Finally, it applies the persona, finishing the text in a “friendly tone with emojis, as if from the shop manager.”

Only through this three-layered filtering process can a “bot-free,” humanized post be created. This advanced persona reproduction capability holds the potential for a larger platform, going beyond a mere posting tool. Next time, we’ll discuss its extensibility and future vision.

#Branding #MarketingAutomation #Web3 #GenerativeAI #RAG