I made the architecture decision that will define Tessera’s deployment model. The system will be designed from the ground up for air-gapped operation. No external network dependencies. No telemetry. No cloud services. Everything runs locally, on hardware I control.
The Non-Negotiable Reason
Tessera will contain the distilled judgment patterns extracted from twenty-three years of my most sensitive communications. Legal strategy. Competitive intelligence. Personnel decisions. Financial reasoning. Crisis management under real stakes. There is no scenario where this data touches an external server.
This is not paranoia. This is the same data sovereignty principle I advocate for in the EIAF. If I tell organizations that their AI-processed data should remain under their control, I cannot build a personal AI that sends my own data to someone else’s infrastructure.
What This Means Technically
Every dependency must be bundleable. No runtime package fetches. No API calls to external services for NLP, embedding, or inference. Docker provides the containerization layer. The LLM integration path narrows to locally hosted models exclusively.
Two years ago, this constraint would have killed the project. Local models were too large, too slow, and too inaccurate. That world no longer exists. Llama 2 proved open-weight models could compete. The ecosystem that followed, Mistral, Phi-2, and the quantization revolution via llama.cpp, made it practical to run capable models on commodity hardware.
Architecture as Philosophy
The air-gap is not a feature. It is a statement about what I believe data sovereignty means when the data is judgment itself. If Tessera’s intelligence is derived from my decision-making patterns, then that intelligence is sovereign. It does not leave the building. Period.