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Frontier Development research deskSection 12 · Page 11 of 12Last updated 26 October 2026
Measure Score / 10
buyer_fit 9
depth 9
search_terms 8
sources 8

A complete buyer action path with explicit stopping and operational checks. Its recommendations are decision guidance, not an implemented pilot or a promise of savings.

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This page contains no direct external citations. These are the section’s references; they do not independently validate the desk’s proposed scoring or methods.

  1. Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
  2. A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
  3. Pricing — Together AI, snapshot checked 26 October 2026 →www.together.ai
  4. GroupKFold — scikit-learn documentation →scikit-learn.org
  5. AI Risk Management Framework — NIST →www.nist.gov
  6. RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org
  7. Extend — Extraction Overview →docs.extend.ai
  8. TimeSeriesSplit — scikit-learn documentation →scikit-learn.org
  9. Guidance on HIPAA & Cloud Computing — HHS Office for Civil Rights →www.hhs.gov
  10. The Open Source AI Definition 1.0 — Open Source Initiative →opensource.org
  11. Llama 3.3 Community License Agreement — Meta →github.com