7-Day AI Agents: 5 Production Design Patterns for Long-Running LLM Workflows
4 months ago 高效码农Building AI Agents That Run for Seven Days: Five Production Design Patterns You spend weeks perfecting prompt engineering, fine‑tuning tool calls, and reducing response latency. Then your agent needs to stay alive for five days. Suddenly, those weeks don’t matter as much. Real production workflows — processing thousands of insurance claims, running week‑long sales sequences, reconciling financial data across systems — don’t fit inside a single conversation turn. They take days, not seconds. The moment you start building these long‑running agents, you hit a wall. Most agent architectures are stateless. They reconstruct context from a database on every interaction. And …
Unlocking Google’s AI Ecosystem: The Ultimate Guide to Official MCP Servers
9 months ago 高效码农Unlocking Google’s AI Ecosystem: A Comprehensive Guide to Official Model Context Protocol (MCP) Servers Have you ever imagined your AI assistant directly fetching real-time map data for you, analyzing massive corporate datasets, or even managing your cloud-based Kubernetes clusters? This is becoming a reality through a technology called the Model Context Protocol. Google, as a core driver in the AI field, has built a vast and practical ecosystem of official MCP servers. This article will take you deep into each MCP tool provided by Google, from cloud-hosted services to open-source self-deployment options, revealing how you can seamlessly integrate these powerful …
Gemini 3 API Secrets: How Thinking Levels & Thought Signatures Boost AI Accuracy
10 months ago 高效码农Inside Gemini 3: How Thinking Levels, Thought Signatures and Media Controls Give You Production-Grade Reasoning Power This article answers one question: “What exactly changed in the Gemini API for Gemini 3, and how can I ship those features today without reading another 50-page doc?” What this guide covers (and why you should care) Gemini 3 is now the default engine behind Google AI Studio and the production Gemini API. The update ships three big levers you can pull—thinking depth, media resolution, and chain-of-thought signatures—plus cheaper web-grounding and native JSON output. Used together they let you tune cost, latency and accuracy …