Reliability, evaluation and observability for AI that cannot become a black box.
References for operating models, agents and automations with versioning, metrics, incidents and costs under control.
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Evals, metrics and regression
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Observability and incident response
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Cost, latency and reliability
Audit AI operations
MLOps/LLMOps review to find fragility before it becomes an incident.
Audit AI operationsSanity-published content connected to this editorial pillar.
4 published articles
Como implementar sistemas de IA unificados que processam texto, imagem, vídeo e áudio em produção. Blueprint técnico para CTOs e founders escalarem IA multimodal.
Anthropic lança ferramentas sem código para validação de LLMs enterprise, democratizando desenvolvimento de IA com evals automatizados e observabilidade granular.
Como aplicar metodologias farmacêuticas ao desenvolvimento de IA enterprise, criando frameworks de validação que garantem qualidade sem sacrificar velocidade de inovação.
Descubra como modelos Mixture-of-Experts locais reduzem custos de IA e garantem soberania de dados. Estratégias práticas para CTOs implementarem soluções escaláveis.
AI in production
From impressive pilots to systems that survive real operations.
AI in productionLLM integration, RAG and hybrid architecture
Models connected to the business without fragile improvisation.
LLM RAG integrationAI agents
Useful autonomy without losing control, traceability and cost discipline.
AI agentsAI governance, audit and security
Practical controls for AI that must be explainable, traceable and safe.
AI governanceInfrastructure, FinOps and AI cost
Platforms, latency and cost so AI operates without invoice surprises.
AI infrastructure FinOpsResilient systems for production AI
Architecture, fallback and response when automation fails.
resilient AI systemsHyperlean, ROI and margin with AI
Before scaling, prove where AI changes cost, revenue or predictability.
AI ROIAI-powered SaaS products
AI as product layer, support, retention and expansion — not just chatbot.
AI SaaS