Cloud engineers working with Oracle customers keep hitting the same wall. An AI assistant generates a beautiful proof of concept in Python and HTML, the customer loves it, and then the request comes: turn it into an MVP on APEX. The conversion stalls, because there is nothing to convert. Flask routes (piece of a Python web app that connects a URL to a function) have no APEX equivalent, as of now. Instead of debating this in the abstract (even contacted the PM to prove me wrong), here is a lab…
Month: July 2026
How to Install Oracle AI Database Private Agent Factory on a Mac (Apple Silicon)
Oracle AI Database Private Agent Factory is a self hosted platform for building AI agents that run entirely on your own infrastructure. Nothing leaves your machine: not your data, not your prompts, not your documents. In this post I walk through a complete installation on a MacBook with Apple Silicon, from download to a running and configured web application, using the exact commands and outputs from my own install. The process has two halves: first the terminal installation, which builds and deploys the containers, and then the in application setup…
Step-by-Step: Building a Meeting-Booking Agent in Oracle AI Database Private Agent Factory
This walkthrough assumes a working Agent Factory installation (Quickstart mode is fine) with an LLM configured, for example, local Ollama running llama3.1:8b. The agent will: read an email, decide whether it’s a meeting request, extract the details, check calendar availability, and draft or book the meeting. Overview of what I’ll build Agent Factory has no built-in Gmail/Outlook connector, so email and calendar arrive as tools via an MCP server (or OpenAPI upload). That’s Step 1 and the only part requiring code, roughly 60 lines of Python. Everything after is no-code…