> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/more-in-this-section-2.md).

# More in this section

- [Industry](https://docs.layerlens.ai/more-in-this-section-2/industry.md)
- [Education and EdTech compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance.md): Education compliance — FERPA, COPPA, IDEA, Section 504, ADA, Title VI/IX, state student-data laws, ED guidance, accessibility.
- [Education cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples.md): Education starter samples.
- [Recipe: education tutor pedagogical-quality](https://docs.layerlens.ai/more-in-this-section-2/industry-education-tutor.md): Recipe — education AI tutor pedagogical-quality grader.
- [Education and EdTech evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns.md): Education evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Education and EdTech scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios.md): Education and EdTech scenarios — tutoring, grading, content generation, integrity, accessibility. Industry patterns, not customer case studies.
- [Energy and utilities compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-1.md): Energy and utilities compliance — NERC CIP/OPS, FERC, state PUC/CPUC, PHMSA, OSHA, EPA, ISO/RTO market rules.
- [Energy and utilities cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-1.md): Energy starter samples.
- [Energy and utilities evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-1.md): Energy and utilities evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Energy and utilities scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-1.md): Energy and utilities scenarios — grid operations, predictive maintenance, customer service, demand response, safety. Industry patterns, not customer case studies.
- [Financial-services compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-2.md): Financial-services compliance — multi-regulator frame (SEC, FINRA, FinCEN, OCC, CFPB, SOX, GLBA), evidence shape per regime.
- [Financial services cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-2.md): Financial services starter samples.
- [Recipe: financial-services advisor & trading](https://docs.layerlens.ai/more-in-this-section-2/industry-finserv-advisor.md): Recipe — financial-services advisor / trading. Pointer to the SDK industry samples.
- [Financial-services evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-2.md): Financial-services evaluation patterns — primitive ratios, dimensions, fair-lending considerations, GEPA labeling, continuous cadence.
- [Financial services scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-2.md): Financial services AI evaluation scenarios — fraud detection, advisor chatbots, KYC, document processing, trading compliance.
- [Government and public sector compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-3.md): Government compliance — FedRAMP, FISMA, NIST AI RMF, OMB M-24-10, Section 508, Privacy Act, FOIA, EO 14110.
- [Government cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-3.md): Government starter samples.
- [Government and public sector evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-3.md): Government evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence aligned to NIST AI RMF and OMB M-24-10.
- [Government and public sector scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-3.md): Government and public sector scenarios — citizen services, benefits, FOIA, procurement, public-safety analytics. Industry patterns, not customer case studies.
- [Healthcare compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-4.md): Healthcare compliance — HIPAA, BAA, audit retention, PHI handling, FDA SaMD considerations.
- [Healthcare cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-4.md): Healthcare cookbook starter samples.
- [Recipe: healthcare clinical Q\&A safety](https://docs.layerlens.ai/more-in-this-section-2/industry-healthcare-clinical-qa.md): Recipe — healthcare clinical Q\&A. Pointer to the SDK industry sample.
- [Healthcare evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-4.md): Healthcare evaluation patterns — common grader and rule combinations.
- [Healthcare scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-4.md): Healthcare evaluation scenarios — clinical Q\&A, triage, summarization, medication safety, prior-authorization, and more.
- [Insurance compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-5.md): Insurance compliance — state DOI rate filings, NAIC AI bulletin, GLBA, ECOA/Fair Housing, HIPAA (health lines), audit retention.
- [Insurance cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-5.md): Insurance starter samples.
- [Recipe: insurance claims & underwriting](https://docs.layerlens.ai/more-in-this-section-2/industry-insurance-claims.md): Recipe — insurance claims and underwriting. Pointer to the SDK industry samples.
- [Insurance evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-5.md): Insurance evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Insurance scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-5.md): Insurance industry scenarios — claims triage, underwriting, policy Q\&A, fraud detection, subrogation. Industry patterns, not customer case studies.
- [Legal](https://docs.layerlens.ai/more-in-this-section-2/legal.md): Legal AI evaluation — contract review, legal research, document analysis.
- [Legal compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-6.md): Legal compliance — privilege, work product, court rules, bar discipline, malpractice exposure, retention.
- [Legal cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-6.md): Legal starter samples.
- [Recipe: legal contract review & research](https://docs.layerlens.ai/more-in-this-section-2/industry-legal-contract.md): Recipe — legal contract review and research. Pointer to the SDK industry samples.
- [Legal evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-6.md): Legal evaluation patterns — primitive ratios, dimensions, citation verification depth, GEPA labeling.
- [Legal scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-6.md): Legal AI evaluation scenarios — contract review, legal research, document discovery, document automation.
- [Manufacturing and industrial compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-7.md): Manufacturing compliance — ISO 9001, IATF 16949, AS9100, ISO 13485, OSHA PSM, EPA RMP, ITAR/EAR/OFAC, RoHS/REACH/Conflict Minerals.
- [Manufacturing cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-7.md): Manufacturing starter samples.
- [Manufacturing and industrial evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-7.md): Manufacturing evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Manufacturing and industrial scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-7.md): Manufacturing and industrial scenarios — predictive maintenance, quality, supply chain, technical Q\&A, safety. Industry patterns, not customer case studies.
- [Media and entertainment compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-8.md): Media and entertainment compliance — DSA, OSA, COPPA, ratings systems, DMCA, defamation, broadcast/state laws.
- [Media cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-8.md): Media starter samples.
- [Media and entertainment evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-8.md): Media and entertainment evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Media and entertainment scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-8.md): Media and entertainment scenarios — content recommendation, moderation, ad relevance, news summarization, IP/rights. Industry patterns, not customer case studies.
- [Real estate and PropTech compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-9.md): Real estate compliance — Fair Housing Act, ECOA, FCRA, RESPA, TILA, HMDA, state broker rules, AVM rules, state landlord-tenant law.
- [Real estate cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-9.md): Real estate starter samples.
- [Real estate and PropTech evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-9.md): Real estate evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Real estate and PropTech scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-9.md): Real estate and PropTech scenarios — listing assistance, valuation, tenant screening, transaction support, property management. Industry patterns, not customer case studies.
- [Retail and e-commerce compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-10.md): Retail and e-commerce compliance — FTC Act, state UDAP, PCI DSS, COPPA, ADA, CCPA/GDPR, age-restricted goods.
- [Retail cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-10.md): Retail starter samples.
- [Recipe: retail product Q\&A & support](https://docs.layerlens.ai/more-in-this-section-2/industry-retail-product-qa.md): Recipe — retail product Q\&A and support. Pointer to the SDK industry samples.
- [Retail and e-commerce evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-10.md): Retail evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Retail and e-commerce scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-10.md): Retail and e-commerce scenarios — product Q\&A, recommendations, pricing, customer service, returns/fraud. Industry patterns, not customer case studies.
- [Telecommunications compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-11.md): Telecom compliance — FCC rules, CPNI, TCPA, CALEA, ECPA, STIR/SHAKEN, NORS, state PUC, privacy laws.
- [Telecom cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-11.md): Telecom starter samples.
- [Telecommunications evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-11.md): Telecommunications evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Telecommunications scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-11.md): Telecommunications scenarios — customer service, network ops, plan recommendations, fraud prevention, lawful intercept. Industry patterns, not customer case studies.
- [Travel and hospitality compliance](https://docs.layerlens.ai/more-in-this-section-2/compliance-12.md): Travel and hospitality compliance — DOT, EU 261, ACAA, ADA, FTC junk-fees, GDPR/CCPA, PCI DSS, state emergency-pricing laws.
- [Travel cookbook and samples](https://docs.layerlens.ai/more-in-this-section-2/cookbook-and-samples-12.md): Travel starter samples.
- [Travel and hospitality evaluation patterns](https://docs.layerlens.ai/more-in-this-section-2/eval-patterns-12.md): Travel and hospitality evaluation patterns — primitive ratio, span rules, GEPA labeling, cadence.
- [Travel and hospitality scenarios](https://docs.layerlens.ai/more-in-this-section-2/scenarios-12.md): Travel and hospitality scenarios — booking, customer service, loyalty, dynamic pricing, accessibility. Industry patterns, not customer case studies.