Workflows Articles
Browse 1221 articles about Workflows.
What Is the Gemma 4 Vision Agent? How to Build Object Detection Pipelines With Local Models
Combine Gemma 4 with Falcon Perception to build a local vision agent that counts objects, segments images, and reasons about visual scenes without cloud APIs.
How to Save Tokens in Claude Code Using the Opus Plan Mode
Use /model opus-plan in Claude Code to plan with Opus and execute with Sonnet. This guide shows how to extend your session limit and cut token costs.
Anthropic Managed Agents: A Hosted Runtime for Claude + MCP
Managed Agents pairs Claude's agentic API with MCP and hosted compute. Here's what the platform includes and how it changes Claude-based agent deployment.
Wrap Claude Code and Codex With Archon for Determinism
Use Archon to wrap Claude Code and OpenAI Codex CLI in YAML workflows that are version-controlled, reviewable, and reproducible across runs.
Anthropic Managed Agents vs n8n vs Trigger.dev: Which Should You Use?
Compare Anthropic Managed Agents, n8n, and Trigger.dev for building AI automation workflows. See which platform fits your use case and technical level.
What Is the Anthropic OpenClaw Ban? How Third-Party Harnesses Were Blocked From Claude Subscriptions
Anthropic restricted third-party tools like OpenClaw from using Claude subscriptions, forcing users to pay API rates. Here's what happened and why.
Autonomy vs. Control in Claude Code: 5 Agentic Workflow Patterns
Five Claude Code patterns ranked by autonomy: sequential, operator, split-and-merge, agent teams, headless. Pick the right tradeoff between control and speed.
OpenClaw vs Claude Code Channels vs Managed Agents: Which Should You Use in 2026?
Compare OpenClaw, Claude Code Channels, and Anthropic Managed Agents to find the right always-on AI agent setup for your workflow and budget.
Deploy a Claude Agent Without Servers on Managed Agents
Skip server provisioning, OAuth flows, and credential vault setup. Here's how to deploy a Claude agent end-to-end on Anthropic's Managed Agents platform.
The Claude Code Git Worktree Pattern: A Primer for Builders
Git worktrees explained for Claude Code users: what they are, how the pattern works, and when to reach for it on refactors and concurrent feature branches.
Claude Code Split-and-Merge: A Deep Dive Into Sub-Agent Parallelism
How Claude Code's split-and-merge pattern uses isolated context windows across 10 sub-agents to handle codebases too large for a single agent to process.
How Stripe Ships 1,300 AI PRs a Week: Harness Engineering
Stripe ships 1,300 AI-generated PRs every week, powered by harness engineering — the discipline beyond prompt and context for multi-agent orchestration.
What Is the OpenAI Unified AI Super App? How ChatGPT, Codex, and Browsing Are Merging
OpenAI is building a unified AI super app that combines ChatGPT, Codex, and browsing into one agent-first experience. Here's what that means for users.
5 Claude Code Workflow Patterns Explained: From Sequential to Fully Autonomous
Claude Code supports five agentic patterns: sequential flow, operator, split-and-merge, agent teams, and headless. Learn when to use each for maximum output.
What Is the Compounding Knowledge Loop in Claude Code? How Your Agent Gets Smarter Over Time
Claude Code's session hooks capture learnings automatically, building a wiki that improves agent answers over time. Here's how the compounding loop works.
What Is the Gemma 4 Vision Agent? How to Combine a VLM With Image Segmentation
Combining Gemma 4 with Falcon Perception creates an agentic pipeline that counts objects, segments images, and reasons across modalities. Here's how it works.
What Is Andrej Karpathy's LLM Knowledge Base? The Compiler Analogy for AI Memory
Karpathy's LLM knowledge base treats raw articles as source code and a wiki as the compiled executable. Learn the architecture and how to build your own.
What Is the Agent Infrastructure Stack? The Six Layers Every AI Builder Needs to Understand
From compute sandboxes to orchestration, here are the six infrastructure layers powering AI agents and why each one matters for your deployments.
What Is the Agent Integration Layer? How Compose.io Solves the N×M Enterprise Tool Problem
Every agent touching your CRM, ticketing, email, and calendar creates an N×M integration nightmare. Here's how managed integration layers fix it.
What Is Agent Memory Infrastructure? How Mem0 Beats OpenAI's Built-In Memory by 26%
Mem0 uses a hybrid graph, vector, and key-value store to outperform OpenAI's memory on accuracy, latency, and token usage. Here's how it works.