Codex Turns Customer Reviews Into Website Mockups for Sales Demos
OpenAI solutions engineer Stephanie Anani presents Codex as a practical partner for solutions engineering, not just a coding tool. Her example starts with a customer’s Trustpilot reviews, uses Codex to analyze what end users are saying, and then turns that feedback into a website mockup that shows the customer how changes could look in its own context. Anani’s case is that Codex is most useful when it works inside a user’s existing materials and workflows, including by preserving strong outputs as reusable skills.
The demo starts with the customer’s own evidence
The solutions-engineering task, as Stephanie Anani frames it, is “not only to build but to understand.” Anani is identified on screen as a solutions engineer at OpenAI, and her example centers on a practical question she hears from customers: how OpenAI’s technology can improve the experiences of their own customers.
A big part of my role as a solutions engineer is not only to build but to understand.
Her workflow starts with public customer feedback. Anani says she asks Codex to go through Trustpilot reviews for a customer and produce “a whole bunch of analysis” of what that company’s customers are saying. She then uses Codex to mock up a customer website, so she can show how requested changes might appear in the context of that company’s own site.
The review-to-mockup loop is the substance of the demonstration. The input is not a generic prompt or an abstract business problem; it is the customer’s own reviews. The output is not just a summary of sentiment or a list of issues; it becomes a concrete website mockup tied to the customer’s experience. Anani says customers “really love that” because it takes “their specific challenges, their specific problems” and shows how the technology can deliver on them “with ease.”
The same idea is emphasized in an on-screen quote: “Taking specific challenges and showing how technology delivers on that with ease.” In Anani’s example, Codex is useful because it connects what end users are already asking for with a visible version of how a company might respond.
Codex moves between analysis and construction
Anani’s example gives Codex two linked roles. First, it helps interpret what customers are saying in Trustpilot reviews. Second, it helps produce a website mockup that makes the implications of that feedback concrete for the company being advised.
That matters in the solutions-engineering setting because the customer’s question is not only whether the technology can generate code or content. The question is whether it can be applied to a customer-facing experience in a way the customer can recognize. Anani’s sequence answers by moving from end-user feedback to a customer-specific artifact: reviews become analysis, analysis becomes a mockup, and the mockup shows possible changes inside the customer’s own website context.
The scope is a demo workflow for solutions engineering. Anani is describing how she uses Codex to make a customer’s own feedback visible and actionable in a sales or advisory context: start with the problems customers are already naming, then show a version of how those problems could be addressed.
Successful Codex interactions become reusable skills
Stephanie Anani also describes a pattern in her own work with Codex: sometimes it executes a task “so perfectly well” that she wants to preserve the result. She calls these “lightbulb moments,” and says skills are a way to capture them as part of her ongoing workflows.
The accompanying screenshot shows an AI coding and chat interface with project files on the left, an execution log in the center, and a markdown document with instructions and requirements on the right. The visual adds context to Anani’s description: Codex is being presented in a project environment, with files, logs, and written requirements, not only as a chat surface.
In that setting, skills function as a way to retain successful patterns from Codex interactions. When Codex executes something especially well, Anani can capture that behavior and carry it into future workflows rather than treating the exchange as a one-off result.
Partnership means working inside the user’s context
Anani closes with a broad formulation: “Whoever you are, whatever you do, however you like to think, Codex can be a partner in every sort of context for you.”
Inside the example she gives, “partner” has a specific meaning. Codex helps with connected parts of a solutions-engineering workflow: analyzing customer reviews, supporting a customer-specific website mockup, and preserving strong execution patterns as reusable skills. The emphasis is not on Codex as a standalone capability, but on Codex operating inside the user’s existing context and materials.
For Anani, the practical value is that the customer can see the technology applied to its own situation. The demonstration begins with what end users are already saying and turns that feedback into a mockup that shows possible changes in the customer’s website context.