India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Build an AI employee in Python for AI newsletter automation, with agent tool permissions and an AI approval workflow.
Stop paying for recurring software subscriptions. Discover 10 powerful open-source alternatives for image editing, project management, and more.
Move beyond prompt engineering. Learn the six layers of Agent Harness Engineering and build a secure, Python-based AI agent loop with sandboxing and tool gates.
We test REA, an open-source MCP server, to see if AI agents can accurately reverse engineer closed-source applications like Obsidian's quick-switcher.
Learn how to build a fast, cheap RAG hallucination filter. We use the JEV "System One" AI model to score multiple LLM drafts and block unsupported answers.
Learn how to use TypeSafe AI's Jev to build a Python detective game. See how it replaces fragile LLM JSON parsing with typed, probabilistic decisions.
We test Google's Gemini 4 Argon model across creative, analytical, and coding tasks to evaluate its reasoning capabilities, features, and real-world utility.
Learn how to use the OpenAI Decisions API. This guide covers Predicate, Choice, and Score evaluations for building fast, cheap, multimodal AI routing agents.
Learn how LLM batching works and compare static, dynamic, and continuous batching to understand GPU utilization, inference speed, and serving costs.
Learn how to build a human-in-the-loop AI agent using LangGraph. This tutorial shows you how to pause workflows, get human approval, and execute safe actions.
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