Navya Yadav

Navya Yadav

Best 5 tools for AI governance in 2026

Best 5 tools for AI governance in 2026

TL;DR AI governance has evolved from aspirational principles to operational necessity as organizations deploy AI systems at scale. The top 5 AI governance tools for 2026 address different dimensions of responsible AI: Bifrost by Maxim AI leads with infrastructure-level governance through budget controls, access management, and audit logging, integrated

The Best AI Conferences to Attend in 2026

The Best AI Conferences to Attend in 2026

AI engineering teams in 2026 face a practical challenge: choosing conferences that deliver actionable insights for building production AI systems. With dozens of events scheduled throughout the year, selecting the right conferences requires matching your technical role and current challenges with event programming and speaker expertise. This guide identifies the

A practical guide to reduce LLM cost and latency

A practical guide to reduce LLM cost and latency

TL;DR Organizations achieve 60-80% cost reduction and up to 80% latency improvements through strategic infrastructure optimization. Bifrost, a high-performance AI gateway built in Go, provides the foundation with only 11µs overhead at 5,000 RPS, delivering 50x faster performance than alternatives. Key capabilities include semantic caching (40%+ cache hit

How to Choose an AI Gateway in 2026: 10 Critical Factors for Your AI Stack

How to Choose an AI Gateway in 2026: 10 Critical Factors for Your AI Stack

TL;DR Choosing the right AI gateway in 2026 requires evaluating 10 critical factors: performance characteristics (latency and throughput), provider coverage (breadth and flexibility), reliability infrastructure (failover and load balancing), observability depth (monitoring and debugging), cost optimization (tracking and controls), security posture (compliance and governance), deployment flexibility (cloud vs. self-hosted)

Best 5 platforms to evaluate LLM-powered applications

Best 5 platforms to evaluate LLM-powered applications

TL;DR Shipping reliable LLM applications requires systematic evaluation beyond manual testing. Maxim AI provides end-to-end evaluation with simulation, node-level metrics, and production feedback loops. Langfuse offers open-source evaluation with prompt management. LangSmith delivers LangChain-native testing with datasets. TruLens specializes in feedback-driven improvement. Deepchecks brings MLOps validation to LLM workflows.

Top 5 Prompt Testing & Optimization Tools in 2026

Top 5 Prompt Testing & Optimization Tools in 2026

TL;DR Systematic prompt testing has become essential as AI applications move to production. This guide examines five leading platforms: Maxim AI delivers comprehensive prompt lifecycle management with experimentation, simulation, evaluation, and production monitoring for cross-functional teams. Braintrust provides evaluation-first development with GitHub Actions integration. PromptLayer offers simplified version control

Best AI Evaluation Tools in 2026: Top 5 picks

Best AI Evaluation Tools in 2026: Top 5 picks

TL;DR AI evaluation has evolved from a nice-to-have into mission-critical infrastructure as LLM applications move to production. This guide examines five leading evaluation platforms: Maxim AI delivers end-to-end lifecycle management with agent simulation, comprehensive evaluation frameworks, and production observability designed for cross-functional teams. Braintrust provides evaluation-first development with GitHub