Archive

Ephany

  • Are We Bragging About the Wrong Number?

    One question to ask yourself (and your team) should be, how much of your last 40M tokens produced code that’s still being used? Not code that got written. Code that survived. If you and your agent built a data layer, rewrote it, rewrote it again when feature three exposed a bad assumption, and shipped version…

    Are We Bragging About the Wrong Number?
  • 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.…

    Part 2: How to Deploy the Ephany Framework on a Live Webserver (Beginner-Friendly Guide)
  • 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…

    Part 1: How to Deploy the Ephany Framework on a Live Webserver (Beginner-Friendly Guide)
  • 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.

    The Ephany Framework, Explained.
  • We’ve published the initial release for the Ephany .Net SDK!

    We are stoked to announce the immediate availability of the Ephany .NET SDK v0.1.0! This initial release marks a major milestone for our platform, opening the door for developers to seamlessly integrate the power of the Ephany Framework directly into their own tools. We have poured a lot of coffee and code into building a…

    We’ve published the initial release for the Ephany .Net SDK!
  • 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…

    Taming the Wild West of Asset Naming: How AI & The Ephany API Brought Order to Our Asset Catalog
  • 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…

    Sample Ephany API Calls in Python
  • 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.

    Ephany is Now Open Source
  • Common Construction-Phase Issues in Retail FF&E (and How to Mitigate Them) – Part Two

    Cost Overruns Budget overruns are a pervasive issue in construction, and retail store projects are no exception. Changes, delays, and misestimates during construction all compound to drive final costs above what was planned. Industry surveys consistently show a majority of projects go over budget. For example, one survey of real estate construction owners found 75%…

    Common Construction-Phase Issues in Retail FF&E (and How to Mitigate Them) – Part Two
  • 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…

    Even AI Needs a Second Set of Eyes: How Ephany Uses Agentic AI to Double-Check Data