This is a submission for the Gemma 4 Challenge: Build with Gemma 4
explaind is a local-first cognitive steering layer for Gemma 4. It is not a chatbot wrapper, not an agent system, and not a RAG tool. It is a structured prompt-assembly harness that shapes how Gemma 4...
We wanted to sell software licenses to customers in over 120 countries without any payment restrictions. The platform stores we had been using didn't allow direct sales in certain countries due to sanctions and regulatory compliance issues.
The Problem We Were Actually Solving
Our architecture was designed to handle the complexities of international payment processing, but the p...
GPT generates text by predicting the next word. It reads left to right.
BERT does something different. It masks random words in a sentence and tries to predict what they are. To do that well, it has to understand every word in relation to every other word simultaneously. Left and right context both matter.
That bidirectional understanding is why BERT dominated NLP benchmarks whe...
Quantum computing today is firmly in the NISQ (Noisy Intermediate-Scale Quantum) era. In theory, everything sounds brilliant: quantum advantage, exponential speedup, and the ability to solve problems far beyond the reach of classical computers. However, in practice, anyone diving into algorithms like QAOA (Quantum Approximate Optimization Algorithm) eventually hits a "wall"—usually around 20–30...
This is a submission for the Gemma 4 Challenge: Write About Gemma 4
I built an offline AI crop diagnostic tool for Indian farmers using Gemma 4. During that process I made every possible mistake - downloa...
The problem isn't your prompts
If you're running Claude Code, Codex, opencode, or openclaw and the API bill keeps climbing, you've probably tried writing tighter prompts. That's not where the waste is.
Four structural patterns account for most of the token spend in a typical session:
Screenshots at full resolution. The agent reads whatev...