Workflows Articles
Browse 1206 articles about Workflows.
What Is Prompt Caching in Claude Code? How to Save Millions of Tokens
Prompt caching cuts Claude token costs by 90% for repeated context. Learn how cache TTL works, what breaks the cache, and three habits that maximize savings.
How to Use AI Agents for Long-Running Tasks: Lessons from the Emergence AI Town Experiment
A 15-day multi-agent simulation revealed how different models behave over time. Learn the key lessons for designing production AI agent systems.
How to Prevent AI Hallucinations in Agentic Workflows: The Data Room Method
Sullivan & Cromwell's AI citation failure shows why prompts alone can't prevent hallucinations. Learn the data room approach that structurally prevents them.
How to Build a Source Inventory for AI Agent Workflows: The Anti-Hallucination Pattern
Before asking an AI to write anything, build a source inventory. Learn how this structured artifact prevents hallucinations in high-stakes knowledge work.
What Is an AI Operating System? How to Build One for Your Business
An AI operating system captures your business data, expertise, and workflows in one place. Learn the components and how to build yours with Claude Code.
How to Build a $1M ARR SaaS with Claude Code: Lessons from a Real Case Study
A real team used Claude Code to build Clarvo, an AI power dialer that hit $1M ARR. Here are the product selection, pricing, and development lessons.
How to Build a Voice Profile for Your AI Agent: The Claude Co-work Interview Method
Use Claude Co-work's voice profile skill to extract your writing patterns from LinkedIn posts and emails and generate a reusable voice profile markdown file.
How to Use Claude Code Skills in Large Codebases: Anthropic's 7-Layer AI Strategy
Anthropic's guide to working in large codebases covers global rules, hooks, skills, LSP, MCP, and sub-agents. Here's the 7-layer AI layer explained.
How to Use Workstations in Claude Co-work to Separate Finance, Ops, and Content Contexts
Claude Co-work workstations let you create separate context environments for finance, ops, and content—each with its own claude.md, memory, and brand rules.
Google Anti-Gravity 2.0: The Agentic Dev Platform That Built an OS in 12 Hours
Google Anti-Gravity 2.0 used 93 parallel sub-agents to build a working OS for under $1,000. Here's what it means for agentic development platforms.
How to Use Language Server Protocol (LSP) with Claude Code for Large Codebase Navigation
Give Claude Code the same symbol-level search developers have in their IDE. Here's how to expose an LSP via MCP server for large codebase navigation.
How to Build a Personal AI Operating System with Claude Co-work
Build a personal AI OS using Claude Co-work with brand context, voice profiles, workstations, and skills that produce consistent, on-brand outputs.
Prompt Caching in Claude Code: How to Save Millions of Tokens and Extend Session Limits
Learn how Claude Code's prompt caching works, what breaks the cache, and three habits that save millions of tokens and extend your session limits.
How to Use AI Agents in Large Codebases: Anthropic's 7-Strategy Framework
Anthropic's guide to Claude Code in large codebases covers global rules, hooks, skills, LSP, MCP, sub-agents, and plugins. Here's how to apply each strategy.
How to Build a No-Code AI Agent That Runs 24/7: Lessons from Gemini Spark
Learn how always-on AI agents like Gemini Spark work and how to build your own 24/7 automation using no-code platforms like MindStudio.
Gemini 3.5 Flash vs Claude Opus 4.7: Which Model Is Best for Agentic Workflows?
Gemini 3.5 Flash offers 4x faster output than frontier models. Compare it to Claude Opus 4.7 on speed, cost, coding, and agentic task performance.
What Is Google Gemini Spark vs Claude Code: Two Approaches to Agentic Work
Gemini Spark runs 24/7 on Google Cloud. Claude Code runs locally with skills and hooks. Compare both approaches to decide which fits your workflow.
Google Anti-Gravity 2.0 vs Claude Code: Which Agentic Dev Platform Wins?
Compare Google Anti-Gravity 2.0 and Claude Code on multi-agent orchestration, sub-agent support, speed, and real-world coding tasks for developers.
How to Build an AI Agent Harness: Why the Wrapper Matters More Than the Model
The harness—rules, skills, hooks, MCP, and memory—drives more agent performance than the underlying model. Here's how to build one that actually works.
How to Use MCP to Connect AI Agents to Gmail, Google Docs, and Third-Party Tools
MCP lets AI agents like Gemini Spark and Claude Code connect to Gmail, Docs, Sheets, and 1,000+ apps. Here's how to set it up for your workflows.