BuildWise

Methodology

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How estimates are produced

  • • Workload classification is deterministic and based on visible inputs such as volume, latency, review requirements, and sensitive data.
  • • Task decomposition uses a bounded set of execution methods: deterministic rules, retrieval, small-model classification, targeted generation, and human review.
  • • Token estimates are approximate and use labelled assumptions; they are not a claim of actual production quality.
  • • Cost totals are computed from the visible model catalog, the selected calls-per-execution, and the retry assumptions.
  • • A model recommendation is rejected when it fails the budget, privacy, provider, or capability constraints.

Constraints that override a model recommendation

  • • Privacy or residency requirements.
  • • Missing price data or unsupported model capabilities.
  • • Budget thresholds that cannot be satisfied without violating the user's minimum constraints.
  • • Manual review requirements for regulated or consequential decisions.
  • • Local-only or provider-approved restrictions.

Why this is a demo-first design

BuildWise is intentionally transparent about estimates and limitations. It shows realistic scenario economics without claiming live model quality or a measured production result. The live BYOK path is available for controlled tests, but the default product remains functional without an API key.