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Reflecting on 2025: Building CVOYA’s Future with AI Coding Agents
As 2025 is now behind us, I wanted to share a few reflections from my CVOYA journey over the last several months. This voyage started with a small set of big questions — the kind that are easy to daydream about, but harder to commit to building. Those questions shaped almost everything I worked on
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DIY smart home accessory – It all started with a question to ChatGPT
Few months ago, we bought a sculpture from a local art fair for our Palm Desert house. We found a great spot for it in the hallway but it bothered me that it was not properly lit. I wanted to put a small LED light behind it. Unfortunately, that spot doesn’t have a power socket.
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The Beginning of CVOYA
There’s a unique energy that comes with starting something new — a blend of excitement, uncertainty, and boundless creativity. For me, that energy has taken the shape of a new company: CVOYA. The name is inspired by “Cosmos: A Personal Voyage,” the documentary by Carl Sagan that deeply influenced me during my teenage years. In the
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Enhancements in Graph Model: Dynamic Entities & Full-Text Search
As I continued work on BrainExpanded and its MCP service, I came to realize that I needed support for dynamic entities and full text search in the Graph Model API. I just published a new release of the Cvoya Graph Model packages with many changes. Here’s a summary: Example – Dynamic Entities You can now
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GraphModel: A .NET Abstraction for Graphs
Just over a month ago, I published “Playing with graphs and Neo4j“. Back then, it was just a toy implementation, an experiment, to help me with what I have been doing for my startup. Well, that little experiment has grown into something much more substantial. As I started building on top of my Neo4j Graph
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Playing with graphs and neo4j
After my initial implementation of some BrainExpanded-related ideas on top of dgraph using its GraphQL interface, I realized that the GraphQL data model was a bit restrictive for what I needed. It’s a long story so I won’t bore you. So, I started thinking of Neo4j. Jim pinged me and said something along the lines
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A Graph Model DSL
Say hello to the Graph Model Domain Specific Language (GMDSL), created with the help of Github’s Copilot. I was ready to iterate on the implementation of BrainExpanded, especially the backend graph data model. I wanted to explore the use of Neo4j as my graph store and also start getting ready for a live deployment to
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BrainExpanded – Web app and Data Sources
As I wrote in previous posts, the manual recording of memories for BrainExpanded is just the beginning. Once the basic infrastructure is in place, devices (e.g. phones, laptops, wearables) and applications/services can automatic capture moments from a user’s life such as the articles they encounter, the notes they take, the activities throughout their lives, the
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BrainExpanded – End-to-end working
Imagine a world where your memory is enhanced by a team of intelligent agents, working tirelessly to keep you organized and informed. Welcome to BrainExpanded. It’s time for an update on BrainExpanded, a system that helps me understand the technologies involved in enhancing our abilities to remember, consume, and organize information. For those who have
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BrainExpanded – Login State Caching Issue in iOS Share Extension
As part of the BrainExpanded project, I’m building an iOS app that lets users easily add links, text, and images to the “brain’s memory.” Once in the memory, various agents process the content to make it more accessible and useful (see previous posts for a description). The app’s XCode project has two targets: the main