Engineering & strategy notes
Technical articles and field notes from the people shipping AI at INFINITEWARE.
Harnesses That Hire Other Harnesses
The next bottleneck in AI engineering is not model capability, it is delegation between harnesses. A senior harness plans, cheap harnesses execute in isolation, and the senior verifies before accepting the work back. Here is the pattern we run in production.
AI Agents Are a Trust Problem. Three Architectures That Help.
The bottleneck in AI adoption is not model capability, it is delegation. Here are the three team architectures we use at INFINITEWARE to keep stochastic LLMs predictable enough to ship into production.
Sovereign LLMs in Production: What Actually Runs On-Premise
Every executive who hears the word AI eventually asks for it on-premise. Few have priced what that means at 13B versus 70B parameters. Here is the engineering reality of running language models inside a customer's own infrastructure.
Fine-Tuning vs RAG vs Prompting: A Decision Matrix
The first lever is not the model. It is the method. Most teams reach for the most expensive one by default. Here is how we choose, with the trade-offs that actually matter in production.
Arabic NLP Is Not a Translation Problem
The default playbook for Arabic AI is to translate to English, do the work, translate back. We have seen this fail at every serious customer. Here is why, and what works instead.