Workflows Articles
Browse 1221 articles about Workflows.
How to Build a Multi-Model LLM Council for Better AI Decisions
Run multiple AI models in parallel, have them rank each other's answers, and synthesize a final response. Learn when LLM councils beat single-model outputs.
How to Use GLM 5.2 in Claude Code with OpenRouter: 5-Minute Setup Guide
Set up GLM 5.2 as the backend model for Claude Code using OpenRouter in under 5 minutes. Get frontier-level coding at a fraction of the API cost.
How to Build a Persistent Memory System for Claude Code: Short-Term, Long-Term, and Scoped Access
Claude Code forgets everything between sessions. Learn how to build a three-layer memory system with source citation, semantic search, and team-scoped access.
What Is an Agentic Loop? The Core Pattern Behind Autonomous AI Agents
An agentic loop lets AI agents reason, act, and observe repeatedly until a goal is met. Learn the three components and when to use loops in your workflows.
What Is Google Flow Tools? How to Build Custom AI Workflows Without Code
Google Flow Tools lets you build and remix AI-powered creative tools using plain English. Learn how to create custom image, video, and prompting workflows.
7 Agentic Loop Use Cases You Can Run Today: From SEO Audits to Error Sweeps
From overnight docs sweeps to production error detection, these 7 agent loop templates automate real business tasks without constant human prompting.
How to Build an AI Workflow That Survives Government Model Shutdowns
When Claude Fable 5 was pulled overnight, builders with model-agnostic stacks kept working. Here's how to design AI workflows that survive sudden access loss.
How to Build an LLM Council: Ensemble AI Agents with Blind Ranking and Synthesis
Learn how to build a multi-model AI council where agents answer independently, rank each other anonymously, and a chairman synthesizes the final answer.
How to Use GLM 5.2 in Your AI Workflows: Setup, Providers, and Cost Savings
GLM 5.2 delivers near-Opus-level coding performance at 85% lower cost. Learn how to set it up via OpenRouter, Z.AI, and self-hosting for your AI workflows.
How to Build a Production Error Sweep Loop: Nightly AI Bug Detection and Auto-Fix
A production error sweep loop reviews logs nightly, traces bugs to root causes, opens PRs, and pings you in Slack—all without manual intervention.
Prompt Bloat vs Skill Systems: Why Giant System Prompts Make AI Agents Worse
Stuffing every rule into a system prompt causes agents to lose focus. Learn how modular skill systems solve prompt bloat and reduce the re-explanation tax.
What Is Semantic Memory Injection for AI Agents? The Frozen Snapshot Pattern
The frozen snapshot pattern injects a capped set of recent context into every agent session automatically. Here's how Hermes uses it and how to build your own.
What Is the Session-to-Skill Extractor? How to Turn Agent Conversations Into Reusable Procedures
The session-to-skill extractor reviews agent sessions for recurring non-obvious procedures worth preserving as skills. Here's how it works and when to use it.
What Is the Three-Layer AI Memory Architecture? Storage, Injection, and Recall Explained
Every AI memory system answers three questions: where to store, what to inject at session start, and how to recall by meaning. Here's how to design each layer.
What Is an Agentic Loop? How to Design AI Agents That Work Without You
An agentic loop is a trigger, action, and stop condition that lets AI agents work autonomously. Learn the core pattern and when to use it in your workflows.
12 Million Token Context Windows: What SubQ Means for AI Agent Workflows
SubQ's 12M token context window lets agents process entire codebases, legal contracts, and financial filings at once—at 5% the cost of Claude Opus.
What Is the Harness Maintenance Checklist? 5 Questions to Ask Before Every Model Update
Before updating your AI agent's model, audit what it reads, what it can touch, what its job is, what proof it provides, and whether it still delivers value.
AI Agent Harness Maintenance: Why Agents Break When Models Get Better
Agents can fail not because the model degraded but because it improved. Learn why harness maintenance is the most underrated skill in agentic AI development.
How to Use AI for Deep Research Reports: Local Models, Web Search, and Visual Output
Tools like Odysseus can run multi-round deep research using local models and produce formatted HTML reports with table of contents—entirely offline.
How to Use Claude Code /goal and Auto Mode Together for Fully Autonomous Workflows
Combine Claude Code's Auto Mode and /goal command to run tasks end-to-end without approvals or early stops. Here's the setup and when to use it.