The gap between using ChatGPT and building enterprise solutions

Rafael is a business analyst and starts his day with the same ritual: he opens the AI ​​chat before opening his email. He summarizes reports, rewrites proposals, and asks questions about Excel. His colleagues call him "the AI ​​guy in the area.".
IA 5 min read By: Skyone

Rafael knows how to ask the AI ​​for things. Why can't he build with it yet?

Rafael is a business analyst and starts his day with the same ritual: he opens the AI ​​chat before opening his email. He summarizes reports, rewrites proposals, and asks questions about Excel. His colleagues call him "the AI ​​guy in the area.".

One Wednesday, he had an idea: a dashboard that would automatically update open orders, cross-referencing the CRM and the target spreadsheet. He asked the AI ​​for help, and the answer came in seconds: a script with instructions.

Rafael read it and froze. Where to run it? What was an API key? How to connect to the CRM? Why wouldn't the code run?

At 7 PM, the panel was still only in his head. Rafael closed his laptop with a nagging question: "If I use AI every day, why can't I do this?"

(Rafael is a fictional character, inspired by the user profile described in the research.)

Because using AI and building with AI are different skills. In the Panorama Vibe Coding Brasil survey, 45.3% of professionals (1,105 out of 2,440) already use LLMs as their first search option, but 52.7% (1,044 out of 1,982) point to a lack of technical knowledge as the biggest obstacle to creating solutions.

To use is to order at a restaurant. To build is to enter the kitchen

Rafael has mastered the first step. He knows how to place an order, adjust it, and order again. Placing the dish requires knowing what's in the pantry (data), how to turn on the stove (environment), the correct order for each step (flow), and how to serve without burning anyone (safety).

What do the numbers say about the abyss?

IndicatorResult
They use LLMs as their first search option45,3% (1,105 of 2,440)
They cite lack of technical knowledge as the biggest obstacle52,7% (1,044 of 1,982)
Among those who considered creating but never executed66,8% (group of 394 people)
Difference for those who have never performed it+14.1 pp.
A profile described as having a "structured environment" that still cites a lack of technical knowledge47,9%

The report's interpretation is straightforward: the educational deficit is the biggest obstacle identified, and the closer to the intention to create it, the more significant it becomes. Even in the most mature companies, where 78.9% have incentives for AI and 76.7% have data rules, the technical barrier persists.

What changed in Rafael's life: the panel that came to life

A few weeks later, Rafael's company adopted two initiatives. And that's how the story continued.

First, the learning. Rafael joined a "Build-a-Bot" bootcamp, hands-on, with real-world cases. At Builders by Skyone, the education is executive and practical: employees and partners build real use cases within the platform, instead of just listening to theory.

Next, the tool. Using Studio Creator, he described the dashboard he wanted in natural language: "open orders, cross-referenced with the month's target, by salesperson." Within minutes, he had a prototype to test.

Two details made all the difference. There was no IT queue, because the idea came to fruition without a ticket. And the prototype was born already connected to Skyone Studio, the platform that integrates the company's systems and maintains security rules from the outset.

Rafael continued working as a business analyst, but now with a construction tool that matched the idea.

(This scene illustrates how the solutions were designed to work, not a measured outcome for a customer.)

From pain to solution: how Skyone helps

ChallengePanorama DataSkyone Solution
Interest does not translate into action52.7% lack technical knowledgeBuilders by Skyone: bootcamps, Skyone Accelerate program and real cases
Business teams depend on IT to create45.3% already use LLMs in their daily livesStudio Creator: “Corporate coding vibe”, from text to prototype in minutes.
Isolated creations, without integration60.9% without data guidelines (fragmented group)Skyone Studio: iPaaS, lakehouse, and data orchestration and agents.

What is vibe coding in practice?

It's about creating software and workflows by describing what you need in natural language, with AI support, instead of writing every line. In Studio Creator, the path has four steps: describe the need, generate interfaces, workflows and automations, reduce the IT queue bottleneck , and maintain governance , with prototypes connected to Skyone Studio from the start.

Frequently Asked Questions

What is the difference between using an LLM and building with AI?
Using it means querying and generating content. Building it means creating flows, integrations, and automations that solve a business problem in a repeatable way.

What is Studio Creator?
It's Skyone's solution for "corporate coding vibes": business teams describe what they need in natural language and receive ready-to-test interfaces, flows, and automations, already connected to Skyone Studio.

What is Builders by Skyone?
It's an executive education and hands-on program, featuring "Build-a-Bot" bootcamps, the Skyone Accelerate program, and real-world use cases built on the platform.

Does Vibe coding replace IT?
No. It reduces dependence on IT for simple tasks and frees up the technical team for tasks requiring more complexity and governance.

Returning to Rafael's Wednesday

What he lacked wasn't talent or will, it was a bridge between what he knew how to do and what he wanted to build. If your company wants to move from "everyone uses" to "everyone creates," choose someone like Rafael, a real problem, and a bootcamp. Learn about Builders by Skyone and download Panorama to see the complete picture.

Skyone
Written by Skyone

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