Your guide to smarter AI development.
An inside look at how we designed a scalable, customer-first quota system through real tradeoffs, performance gains, and hard-earned lessons.
Explaining how A/B testing decisions are made using split tests, multivariate analysis, and p-values.
India’s DPDP Act is reshaping global data privacy. While GDPR sets strict standards, DPDP’s simpler, innovation-friendly model is changing how AI and SaaS companies manage compliance in 2025.
LLM apps are unpredictable, costly, and hard to debug making observability essential. This guide breaks down the key pillars, KPIs, and practices needed to monitor quality, performance, and reliability in production AI systems.
LaikaTest deploys guardrails on your LLMs in just 60 seconds. Our agentless approach secures endpoints with 3 clicks
A clear guide to AI guardrails, content moderation, and evals. Understand how to stop unsafe LLM outputs, measure quality, and build robust AI applications.
AI's subtle failures demand better testing. A/B testing makes your models reliable and consistent.
California’s latest AI regulation signals a major shift in how advanced models must be evaluated and managed. From safety testing to version control, the guardrail law introduces standards every AI builder needs to understand in 2025.
