Privacy by design
I keep credentials isolated inside the platform. The model only ever sees the question and the answer, and I log every operation.

Since 2020 I have been building for the web: ERP-integrated e-commerce, operations dashboards and open source libraries in TypeScript. Today I do AI engineering at Dulyx: agents, RAG and the harness that connects models to company systems without ever exposing credentials.
I built it so the model asks in natural language, Dulyx queries the ERP, CRM or API at the source and returns only the answer. Credentials never reach the model.
I keep credentials isolated inside the platform. The model only ever sees the question and the answer, and I log every operation.
I let queries run straight through. Any change to an order, product or stock level I turn into a proposal that a human has to confirm.
I put Dulyx on the company website and in any MCP-compatible assistant, with agents per area: sales, finance, support and logistics.
I reduce the records before they reach the model and I bill per conversation, with no per-seat pricing.
At Dulyx I build the infrastructure that makes an agent trustworthy inside a company: well-defined tools, data reduced before the model, human approval for every change and a full trace of each operation.
I scope agents per area, each seeing only the tools of its domain. I give every tool a clear input and output contract, so the agent never invents data: it queries for it.
I built the runtime that routes calls, applies guardrails and turns every change into a proposal. Nothing moves in the ERP without a person confirming, and I record all of it.
I do retrieval over documents and catalogs combining lexical, phonetic and embedding search. I created CAISS out of this: precision on product names, codes and abbreviations, exactly where vectors alone fall apart.
I trim and summarise records before they reach the model, with metadata that flags when a result set came back truncated. Fewer tokens, lower cost, less hallucination.
I built twenty-plus connectors for enterprise systems and channels, and I expose them as MCP servers for Claude, ChatGPT and other compatible assistants.
I trace every conversation: tools called, data returned, decisions taken. That is how I measure quality, compare models and improve prompts with evidence.
I studied in Vancouver for three weeks, meeting people from all over the world and seeing first-hand what is being built outside Brazil. Then I spent one more week in Toronto and Guelph, living the local culture.
I attended Web Summit: days exchanging experience with founders, engineers and investors from many countries, and watching Brazilians present their businesses on a global stage. That is where I had the idea of Dulyx as a business.
I took a full-time in-person course at EF Education First and completed it at level C2.2, the highest on the scale. I had never taken an English course in Brazil: I learned from series, music, technology and work, then validated it abroad.
“Technology, in the end, is about people, ideas and the connections we create along the way.”
Each one came out of a real problem I hit in a real project.
My reusable React components (inputs, toasts, dialogs, tables) with a simple API. I use them to build screens fast without giving up consistency.
My in-memory similarity search engine, with phonetics and inverted indexes. I built it to match product names full of abbreviations and typos, no embeddings required.
npm i @ccorgz/caissI wrote it to hash and verify passwords with HMAC-SHA512 and salt: lightweight, dependency-free and straight to the point.
I built a full ecosystem: B2C store, B2B portal, backoffice and an operations app, all speaking to the same Oracle ERP.

I built the online store integrated with the company ERP: catalog, pricing, stock and orders in sync. Banners and product photos are editable in real time through Painel Web.

I developed the sales portal for resellers, with commercial rules from the ERP, per-customer price tables and order tracking.

I created the admin for both e-commerces: banners, product images, order tracking and an inventory management panel.

I made the web app for the warehouse floor: goods-in checking, order picking, product lookup and inventory counts.
I run Oracle and Linux on the inside, and applied AI on top: agents, MCP, RAG and evals.
TypeScript
React
Next.js
JavaScript
HTML
CSS
Node.js
Adonis.js
PHP
Laravel
C
Oracle DB
MySQL
Red Hat
Ubuntu
GitHub
npm
Google GTM