Archive
Asset Information Management
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Part 2: How to Deploy the Ephany Framework on a Live Webserver (Beginner-Friendly Guide)
In Part 1 of this tutorial, we deployed the Ephany Framework onto an $8 DigitalOcean Droplet, configured our settings files, created a virtual environment, and verified the app worked using Django’s development server. Now it’s time to take the next step: Turning your Ephany Framework instance into a real server-side service using Gunicorn and Nginx.…
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Part 1: How to Deploy the Ephany Framework on a Live Webserver (Beginner-Friendly Guide)
This guide walks you step-by-step through deploying the Ephany Framework, using an inexpensive $8 DigitalOcean Droplet. We’re keeping everything as clear and simple as possible so you can follow along…
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The Ephany Framework, Explained.
Ephany is a standardized framework for your asset data that you can own, extend, and build upon. Your organization can finally own your data and the source code to boot.
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Taming the Wild West of Asset Naming: How AI & The Ephany API Brought Order to Our Asset Catalog
Most organizations treat naming conventions as a manual chore, which is why their catalogs eventually become a mess of “2-Sided” vs “Two-Sided” inconsistencies. I decided to stop fighting that battle by hand and used AI to build a logic-based “wrangler” script, then used the Ephany API to push those standards across our entire catalog in…
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Sample Ephany API Calls in Python
This post contains a collection of code snippets and examples that demonstrate how to use the Ephany Framework API. As the project evolves, I’ll continue adding practical, copy-and-paste samples that show how to connect to your asset data, query your catalogs, integrate with your applications, and build on top of the framework. Whether you’re a…
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Ephany is Now Open Source
Today, we’re excited to introduce Ephany Framework, an open-source platform for managing assets, their metadata, and their relationships to projects. This is the backbone of the entire Ephany ecosystem: the data structure, the REST API, and the relational logic that ties it all together.
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Even AI Needs a Second Set of Eyes: How Ephany Uses Agentic AI to Double-Check Data
Artificial intelligence might seem like magic, but even magic needs rules. One of the biggest misconceptions about AI is that it always gets things right. In reality, AI is only as useful as the data it works with. And when you’re managing complex asset catalogs across thousands of projects, bad data can snowball into real-world…
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McDonaldization and Construction: How Owner-Furnished Items Unlock Scalability
McDonaldization describes how industries optimize for efficiency, predictability, uniformity, and control. This principle doesn’t just apply to burgers, it’s the secret sauce behind how companies like Walmart, Dollar General, and Wegmans scale their physical stores to thousands of locations worldwide.
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Decluttering Your Data: Why AI Alone Won’t Solve the Mess
Imagine your home is overflowing with clutter. You hire a professional organizer who tidies everything up—but without proper shelves and storage, the clean items just end up in a neat pile on the floor. That’s what happens when you rely solely on AI to clean up your asset data, especially when managing furniture, fixtures, and…
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Lean Out Your BIM Processes by Reducing Asset Information in Your Models
Let me tell you a little secret about working in BIM: the more data you cram into your model, the more of a nightmare it becomes to manage. Early in my career as a BIM Manager, I thought it was smart to add as much data as possible to Revit Families for owner-furnished items (OFI).
