| Measure | Score / 10 |
|---|---|
| buyer_fit | 9 |
| depth | 9 |
| search_terms | 9 |
| sources | 8 |
Complete staged path with owners, artefacts, practical gates and costing. Timelines are explicit planning allowances; there is no executed pilot or validated customer budget.
Editorial self-assessment
Section source library
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.
- Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
- Quantization — Hugging Face PEFT documentation →huggingface.co
- LoRA Learns Less and Forgets Less — Biderman et al., revision 20 September 2024 →arxiv.org
- Pricing — Together AI, snapshot checked 26 October 2026 →www.together.ai
- GroupKFold — scikit-learn documentation →scikit-learn.org
- A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
- Guidance on HIPAA & Cloud Computing — HHS Office for Civil Rights →www.hhs.gov
- TimeSeriesSplit — scikit-learn documentation →scikit-learn.org
- Extend — Extraction Overview →docs.extend.ai
- SFT Trainer — Hugging Face TRL documentation →huggingface.co
- RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org