Category: AI

LangChain 1.4 moves MCP into langchain.mcp. We trace MCPAdapter’s real source, the interrupt-driven elicitation loop, and how tool errors reach the model.

Tokens are the units an LLM reads and bills by. How tokenization works, how it fills the context window, and what drives token costs up.

An AI sales agent makes 400-600 calls a day for $3,000-$5,000 a month. How it compares to a human SDR on cost, meetings and payback.

What AI projects actually cost in 2026, what pushes the price up or down, and where companies spend money they didn’t need to.

AI agents take a goal, plan the steps and use software tools to finish the job. How they work and how they differ from chatbots.

How AI voice agents handle phone calls with speech recognition, language models and text-to-speech, what they cost, and where businesses use them.

Realistic 2026 budgets for AI projects, based on 250+ projects we’ve delivered since 2014: what each type costs to build and run after launch.

A 10-point framework for choosing an AI development partner: red flags, questions to ask, and how to tell real production AI work from marketing claims.

AI agents vs traditional automation: how rule-based automation and AI agents differ, where each one fits, and how the two can work together.