AI capability

Model-flexible by design.

GRID EATER treats the model as one component of an AI system. The useful work is in the workflow, data, permissions, tools, evaluation, economics and human control around it.

AI services AI consulting

System layers

More than a model call.

These are capability areas, not a claim that every customer workflow uses every provider or component.

Frontier model providersOpenAI, Anthropic, Google and other suitable providers can be evaluated around the task, controls, latency and cost.

Local and private inferenceSelf-hosted or local model runtimes can be considered where privacy, latency or economics justify them.

Ollama relationship

Agents & toolsBounded tool access, APIs, files and business systems turn a model into a useful workflow.

AI agents

Retrieval & searchStructured data, search and retrieval give AI current business context instead of relying on generic model memory.

Typesense

Automation & orchestrationQueues, schedules, triggers, retries and human approvals make repeatable work dependable.

AI automation

Evaluation & cost controlUsage, failure modes, provider costs and quality need measurement before an AI workflow is trusted at scale.

Usage & costs