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Model and provider choice

Choose model, provider and hosting using measurable evidence

This page describes a proposed comparison method for quality, privacy, cost, location, portability and operational risk. No model or provider candidates have yet been compared against one shared golden set.

Intended delivery

Planned deliverable: a documented choice covering the adapter boundary, key option, fallback and re-acceptance after a change.

Evidence required before delivery

  • Required before advice: current terms, a data flow and a decision matrix for each candidate.
  • Required before selection: the same task set and a predefined acceptance threshold for each candidate.
  • The current local evidence set concerns adapter 1.1.0 and is not a live comparison of AI-model providers.

Authority boundary

What this solution explicitly does not promise

  1. 01

    Models and providers are not equivalent, and switching may alter quality or behaviour.

  2. 02

    No provider is selected without current terms, a data flow and a task test.

Next step

Start with one provable workflow.

No generic AI presentation. Bring volume, systems, exceptions and the human decision-maker.

Compare your options

Logical next step

TrustSee where your AI data comes from, goes and remainsThe proposed Werkborg data-flow format maps each implementation's components, data types, locations, transit, temporary and persistent storage, logging and deletion. No universal or production-validated data flow exists yet.SolutionSee which integrations still require evidenceThis page defines the proposed evidence record for future connectors: status, scope, test date and known limitation. No production connector has been proven; local Service Intake adapter 1.1.0 performs zero external actions.