Insights on AI agents, automation, developer tooling, and human–AI collaboration. Guides, tutorials, and industry analysis from the cowork.ink team.
Articles - Page 5
Cursor Agent Mode: How to Let AI Build Features Autonomously - Cursor Agent Mode turns your AI coding assistant into an autonomous developer that plans, writes, runs tests, and ships pull requests — all while you work on something else. Here's everything you need to know to use it safely in 2026.
AI Agent Orchestration: How to Coordinate Multiple Agents - AI agent orchestration is the coordination layer that turns a collection of individual agents into a reliable, production-grade system. This guide covers the 5 core patterns, key challenges, framework comparisons, and best practices for 2026.
OpenAI Agents SDK: Getting Started Guide with Examples - The OpenAI Agents SDK lets you build multi-agent workflows in Python with minimal boilerplate. This guide walks you through installation, core concepts, and practical examples — from a single agent to production-ready pipelines.
GitHub Copilot Coding Agent: What It Does & How to Use It - GitHub Copilot coding agent works autonomously in the background — fixing bugs, adding tests, and opening pull requests without you watching. Here's what it does, how to set it up, and when to use it.
How to Automate Business Processes with AI Agents (Step-by-Step) - Automating business processes with AI agents is different from traditional RPA or workflow automation — agents handle exceptions, understand context, and execute across unstructured data. This step-by-step guide walks you through the complete process from process selection to production deployment.
AI Agent Memory: How Agents Remember, Learn & Improve - Most AI agents have amnesia — they forget everything the moment a session ends. Agent memory is the architecture that fixes this: four distinct memory types that let agents accumulate knowledge, recall past interactions, and genuinely improve over time.
AI Agents for HR: Recruiting, Onboarding & Beyond - AI agents for HR are transforming how companies recruit, onboard, and retain talent. From autonomous resume screening to personalized employee experiences, here are the top use cases, tools, and implementation tips for HR teams in 2026.
AI Agents for E-Commerce: Recommendations, Inventory & Support - AI agents for ecommerce are driving 4X higher conversions and cutting support costs by 40-60%. Here are the top use cases, tools, and implementation strategies for online retailers in 2026.
AI Agent Tool Calling: How Agents Use APIs, Functions & External Tools - Tool calling is what transforms an LLM from a text generator into an AI agent that can actually do things. This guide explains how it works, how to define tools correctly, and best practices for building reliable tool-using agents.
Prompt Engineering for AI Agents: System Prompts, Chains & Best Practices - Prompt engineering for AI agents is fundamentally different from prompting a chatbot. This guide covers the full toolkit — system prompt anatomy, prompt chaining, few-shot examples, tool calling instructions, and the mistakes that silently break production agents.