6 posts
How do you do tool definition in agent architecture? A good tool schema: a clear name, a description that says when to use it, well-typed parameters, and readable errors.
What is function calling? Function calling is when a language model understands a natural-language request and produces, as structured JSON, which predefined function to call and with what arguments. This guide: a clear definition, why it is needed, how it works, JSON schema, tool use, API integration, its relation to MCP, security, and FAQs.
What is MCP? The Model Context Protocol is an open standard connecting AI models to tools and data — the USB-C of AI. Architecture, MCP servers, agents, and enterprise integration in this guide.
Getting reliable JSON from an LLM in production takes more than a prompt. How to guarantee schema conformance with JSON mode, structured outputs, constrained decoding, and function calling.
Launched by Anthropic in November 2024, the Model Context Protocol (MCP) became the 'USB-C of AI' in 2026 — with 5,000+ servers, adoption by OpenAI, Google, Microsoft, and Salesforce, and its own Wikipedia page. This guide covers MCP's three primitives, transport layer, OAuth 2.1, building your own server, security risks, and Turkish-market opportunities for Yargıtay/BIST/KVKK-style MCPs.
A comprehensive 2026 reference explaining how AI agents work, which architectures solve which problems, and what they mean for Turkish enterprises. Covers ReAct, multi-agent, MCP, tool use, computer use, browser agents, frameworks (LangGraph / AutoGen / CrewAI / Claude Code), production concerns, evaluation, security, KVKK compliance, and three anonymized Turkish case studies.