AI stack

AI models, agents and development tooling

GRID EATER is deliberately model-flexible. The task, risk, data and economics should decide which AI technology is used.

What the stack is used for

Different models can be selected for different parts of a workflow.

AI output is treated as work product to be reviewed, not as an unquestionable source of truth.

Technology

AI accelerates research, implementation, testing and iteration. Human engineering judgement remains responsible for the finished work.

OpenAI — Frontier models, Codex, agents, coding, research and business AI. Provider information
Anthropic — Claude models and AI-assisted analysis, coding and workflow support. Provider information
Google Gemini — Multimodal models, research, coding and agentic workflows. Provider information
GitHub — Version control, code review, delivery history and controlled deployment. Provider information
Ollama — Local and self-hosted model workflows where that architecture is useful. Provider information
Hugging Face — Open models, datasets and specialist AI tooling. Provider information

Need the simple version?

The detailed pages exist for customers who want to inspect the engineering. The customer-facing offer remains deliberately straightforward.