Automation Articles
Browse 948 articles about Automation.
How to Use AI for Brand Identity: Voice, Body of Work, and Visual Design Tokens
Build three brand context files—voice, body of work, and design tokens—so every AI output looks and sounds like your brand automatically.
How to Use Perplexity Computer for Business Automation: Connectors, Skills, and Tasks
Perplexity Computer connects to Gmail, Notion, GitHub, and 100+ tools out of the box. Learn how to set up skills and run automated business tasks.
Perplexity Computer vs OpenClaw: Which AI Agent Platform Should You Use?
Compare Perplexity Computer and OpenClaw across setup complexity, integrations, security, cost, and use cases to find the right agent platform.
What Is the Slot Machine Method for AI Agents? Why Restarting Beats Correcting
Anthropic's own teams restart Claude sessions instead of correcting drift. Learn why this approach produces better results and how to apply it.
What Is Perplexity Computer? The Hosted AI Agent Alternative to OpenClaw
Perplexity Computer is a fully hosted AI agent with pre-built connectors, skills, and multi-model support. Learn how it compares to self-hosted agents.
How to Mix Claude and Gemini 3.5 Flash in One AI Coding Workflow for Better Frontends
Use Claude Opus for planning and page copy, then Gemini 3.5 Flash for UI design. This multi-provider workflow builds better full-stack apps at lower cost.
How to Build an AI Second Brain Knowledge Base with Automated Hourly Processing
Learn how to build a personal AI second brain that captures notes, processes them hourly, and surfaces insights on demand using Claude Code and Obsidian.
What Is the /workflows Command in Claude Code? Dynamic Multi-Agent Workflows Explained
The /workflows command in Claude Code lets you compose multi-agent workflows dynamically with full transparency. Here's how it works and when to use it.
What Is the Dark Factory Approach to AI Agent Pipelines? How to Remove Human Bottlenecks
A dark factory AI pipeline uses agents for PR reviews, merge conflicts, and monitoring so humans move from in-the-loop to over-the-loop oversight.
What Is the Piling Problem in AI Agent Workflows? How to Prevent Output Bottlenecks
When agents generate work faster than humans can review it, output piles up. Here's how to design agentic pipelines that prevent unsustainable backlogs.
How to Share AI Agent Memory Across a Team Without Exposing Private Data
Learn how to design shared vs private AI agent memory for teams using row-level security, Supabase, and permission-mirrored GitHub repos.
How to Build a Team AI Operating System with Notion, GitHub, and Claude Code
Learn how to structure a three-tier agentic OS for teams using Notion for human edits, Claude Code for agent files, and GitHub for version control.
How to Use AI Avatars for Content Creation: HeyGen Voice Mirroring and Agent Features
Learn how to build AI avatars with HeyGen, including voice mirroring, LoRA training, and agent features for automated content creation workflows.
Anthropic Dynamic Workflows: What Everyone Gets Wrong About When to Use Them
Dynamic workflows burn tokens fast. Learn exactly when to use them vs sub-agents or /goal, and how to avoid costly mistakes in Claude Code.
How to Build an AI Second Brain Knowledge Base: Step-by-Step with Claude
Learn how to build an AI-powered second brain knowledge base using Claude, with automated processing, memory search, and hourly updates.
How to Use Prompt Caching to Cut Claude Code Token Costs in Dynamic Workflows
Dynamic workflows burn tokens fast. Learn how to use prompt caching, scope bounding, and Haiku sub-agents to control costs in Claude Code.
How to Build a Team Agentic Operating System with Claude Code and Notion
Build a shared AI operating system for your team using Claude Code, Notion, and GitHub with role-based access control and shared memory.
How to Build a Three-Tier Storage System for Team AI Agent Workflows
Learn how to structure team AI agent files across Notion, Claude Code, and GitHub for shared access, version control, and permission management.
What Is NVIDIA Neotron 3 Ultra? The Open-Source AI Model That's 5x Faster
NVIDIA Neotron 3 Ultra is a 550B open-source model that's 5x faster and 30% cheaper than competing frontier models. Here's what it means.
What Is NVIDIA Vera? The CPU Built for AI Agents and Agentic Workloads
NVIDIA Vera is the first CPU designed for AI agents, not humans. Learn how its architecture accelerates agentic sandbox performance by 1.88x.