Codex for Solutions Engineers: Making AI Tangible for Customers

TL;DR: Solutions Engineer Stephanie Annani shows how to use Codex to analyze customer reviews, quickly prototype, and save "lightbulb" moments as "skills" to integrate into workflows—making AI tangible and relatable for customers. ## Understanding Customer Needs, Starting with Data As a solutions engineer, the core responsibility is not just building technology, but deeply understanding user needs. In the OpenAI on OpenAI series, Stephanie Annani explains that customers care most about how technology can improve their own customers' experience. She uses Codex to scrape customer reviews from Trustpilot and conduct a comprehensive analysis, gaining real insight into what customers think of a brand. ## Rapid Prototyping, Making Improvements Visible After the analysis, Stephanie uses Codex to quickly prototype a version of the customer's website. This visually demonstrates how the improvements customers requested could be easily implemented in their existing site. Customers appreciate this because their specific challenges and issues are efficiently addressed through technology. ## Saving the "Aha" Moment: The Skills Feature When working with Codex, there are often "aha" moments—especially when Codex perfectly executes a task. Codex's "Skills" feature allows Stephanie to save these moments and incorporate them into her daily workflow, reusing those efficient solutions again and again. ## Codex as a Universal Collaborative Partner No matter who you are, what you do, or how you think, Codex can be a powerful partner in any scenario. It makes AI capabilities tangible and actionable, helping solutions engineers communicate the real value of technology to customers. Source: Codex for Solutions Engineers: Making AI Tangible for Customers (https://www.youtube.com/watch?v=08hgAtg-P_8)