Choose open-weights models without changing your workflow

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ILLUSTRATIVE APPLICATION WORKFLOW

Choose open-weights models without changing your workflow

Keep sensitive development local and use hosted compute when needed, without binding your application specs to one provider.

THE SITUATION

Start with the process and the requirements.

A team maintaining a private document application needs control over where code and requirements are processed, while larger development tasks may need more compute.

Abstract spec

Record data boundaries, model license constraints, quality expectations, and compute budgets in the abstract spec. Decide which tasks must remain local and which may use approved hosted infrastructure.

Development tasks

Integrate open-weights models through the model- and infrastructure-agnostic coding harness. Run on local hardware or self-hosted servers, or choose hosted inference while retaining the same specs and task workflow.

Validation and iteration

Evaluate candidate models on the same coding tasks and tests. Check context limits, latency, cost, license terms, and data handling before changing a deployment; open weights alone do not guarantee privacy or equivalent results.

Practical benefit

Adapt compute and model choices to the application instead of rebuilding the development process around a vendor. Retain control over deployment and avoid dependence on a single provider.

What application does your process need?

Start with a conversation

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Choose open-weights models without changing your workflow

Keep sensitive development local and use hosted compute when needed, without binding your application specs to one provider.

Model and infrastructure choice

Illustrative workflow