Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS

How to Run Claude Code with OpenAI, Gemini, Bedrock, and Any LLM Using Bifrost CLI

How to Run Claude Code with OpenAI, Gemini, Bedrock, and Any LLM Using Bifrost CLI

Claude Code is one of the most capable agentic coding tools available today, bringing AI-powered development directly into the terminal. However, it is locked to Anthropic's model family by default. This means teams that want to experiment with GPT-5, Gemini 2.5 Pro, Groq, or models

Fastest MCP Gateway for High-Throughput AI Agent Workloads

Fastest MCP Gateway for High-Throughput AI Agent Workloads

AI agents are no longer simple chatbots generating text. Modern agentic systems orchestrate dozens of external tools, query databases, search the web, and execute multi-step workflows in real time. At the center of this shift is the Model Context Protocol (MCP), an open standard that allows AI models to

Top 5 AI Gateways to Monitor and Control the Costs of LLMs

Top 5 AI Gateways to Monitor and Control the Costs of LLMs

LLM API costs are one of the fastest-growing line items in enterprise technology budgets. A customer support agent handling 10,000 daily conversations can generate over $7,500 per month in API costs alone. Multiply that across multiple teams, products, and providers, and costs quickly become unpredictable and unmanageable.

Top 5 Enterprise AI Gateways in 2026

Top 5 Enterprise AI Gateways in 2026

This guide ranks the top five enterprise AI gateways based on performance, governance depth, and production readiness- Bifrost, Kong, Cloudflare, LiteLLM, OpenRouter. Enterprise AI adoption is accelerating. Organizations are no longer running a single LLM in isolation. They are operating across OpenAI, Anthropic, Google Gemini, AWS Bedrock, and Azure simultaneously,

Top 5 AI Agent Evaluation Platforms in 2026

Top 5 AI Agent Evaluation Platforms in 2026

AI agents now handle customer support inquiries, automate financial workflows, and orchestrate complex enterprise operations. According to LangChain's 2026 State of AI Agents report, 57% of organizations have agents in production, with quality cited as the top barrier to deployment by 32% of respondents. Unlike traditional software where

Top 5 AI Agent Observability Platforms in 2026

Top 5 AI Agent Observability Platforms in 2026

AI agents have moved from experimental prototypes to mission-critical production systems. According to PwC's Agent Survey, 79% of organizations have adopted AI agents, yet most cannot trace failures through multi-step workflows or measure quality systematically. When an agent selects the wrong tool, hallucinates despite correct context,

Top 5 RAG Evaluation Platforms in 2026

Top 5 RAG Evaluation Platforms in 2026

RAG systems now power the majority of production AI applications, from customer support agents to enterprise knowledge bases. Yet evaluating these systems remains uniquely challenging. Unlike standard LLM applications, RAG pipelines introduce dual failure points: retrieval can miss relevant documents, and generation can hallucinate or ignore context entirely. Traditional evaluation