How I connected Oracle APEX to a FastAPI backend powered by Oracle Agent Memory, Autonomous Database and OCI Generative AI, building an enterprise-style memory console with Add Memory, Search, Chat Workspace, Models and Project 360. 3.0 Introduction: why bring Agent Memory into APEX? In the first article of this series, I explained the overall architecture of […]
How I extended an Oracle Agent Memory exploration into a working workspace with FastAPI, React, Oracle APEX, Autonomous Database, OCI Generative AI, Codex, ChatGPT Enterprise and Visual Studio Code. 1.0 Introduction AI agents are quickly moving beyond simple chat interfaces. They can call tools, reason over documents, generate code, interact with APIs, orchestrate workflows and
Building an Oracle Agent Memory Workspace — Part 1/3: From inspiration to Architecture Read More »
Introduction Some demos are born from a very technical requirement. Others are born from a simple idea that everyone immediately understands. This one started with a familiar concept: a football quiniela. The objective was to prepare an engaging demo for an event where business users, technical teams, and customers could easily connect with the story.
In the past weeks I’ve been working on an Oncology Forecasting prototype built with Oracle APEX + Autonomous Database (ADB). The goal is straightforward (but very powerful): let business users define a scenario (country, indication, time horizon, epidemiology assumptions, products…), run the forecast, and then explore the results. The real challenge is not only computing
Pull Requests are where good engineering habits either level up… or quietly get replaced by “LGTM, ship it.” You open a PR. You do the responsible things: Then your reviewer asks: What happens if the uploaded filename contains weird Unicode? And you realize the truth we all share: PR reviews are human-scaled. Attackers are not.
I let two AIs review my PRs: One breaks my fastAPI code, the other fixes It Read More »
Lately my feed is full of posts claiming that TOON cuts LLM token usage by 30–60% and that JSON is basically “legacy bloat”. As someone who spends her days helping customers bring AI into production at Oracle, I was curious… but also a bit skeptical. So instead of arguing in the comments, I opened a
JSON vs TOON: Is your data format really the problem? Read More »
My findings after comparing two powerful AI Assistants Over the past few days, I’ve spent some time investigating DeepSeek, a relatively new AI model, and comparing it to ChatGPT, one of the most established AI assistants. Both models have their strengths and weaknesses, but they cater to slightly different needs. In this article, I’ll share
ChatGPT vs DeepSeek: Key Differences and Hands-On Experiments Read More »
