Guides
Deep dives on data sovereignty, cost, and choosing the right open model.
Claude Code Alternatives: Running Open Models Without Leaving Your Workflow
You don't have to abandon Claude Code to use open models. Here are three ways to swap the backend (proxy, self-host, or direct API) with an honest tradeoff table.
The Real Cost of Claude Code — and How Open Models Compare
Claude Code billing can be unpredictable at scale. Here's how subscription vs token costs actually stack up, and where open models via Sota change the math.
Where Does Your Code Go? A Guide to AI Inference Data Residency
AI inference data residency explained: what it means, why it matters for your prompts and source code, and how to control where inference actually runs.
Data Sovereignty for AI Coding Tools: Why Inference Location Matters
Data sovereignty for AI coding tools explained: what risks your prompts carry, why open weights don't equal local inference, and what sovereign inference looks like.
Is It Safe to Send Proprietary Code to Overseas LLM APIs? What Engineering Leaders Should Know
A clear-eyed look at what risks exist when sending code to overseas LLM APIs — jurisdiction, IP exposure, and practical ways to reduce exposure without losing capability.
Open Models, Western Infrastructure: Frontier Open LLMs Without Off-shoring Your Source
How open-weight models decouple model choice from inference location, and how Sota runs GLM-5.2 and Kimi K2.7 Code on Cloudflare's Western network for teams with residency requirements.
GDPR, Data Residency & LLMs: A Practical Guide for Dev Teams
GDPR and LLM data residency explained for developers: lawful basis, EEA transfers, what counts as personal data in prompts, and a practical compliance checklist.