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What Is the Agent Harness? Why It Matters More Than the Model You Choose

Google says the LLM is only 10% of an agentic system. The harness—rules, tools, context, and guardrails—drives the other 90%. Here's what that means.

WorkflowsMulti-AgentAI Concepts

What Is Sakana Fugu? The Multi-Model Orchestrator Explained

Sakana Fugu is an AI orchestrator that routes prompts to the best model automatically. Learn how it works, its two tiers, and real benchmark results.

LLMs & ModelsMulti-AgentAI Concepts

Agentic Engineering vs Vibe Coding: Google's Spectrum and Why It Matters for Builders

Google's AI coding masterclass defines a spectrum from vibe coding to agentic engineering. Learn which approach to use and when for reliable AI-built software.

WorkflowsAutomationAI Concepts

Claude Tag Explained: Anthropic's Slack-Native AI Agent and What It Means for Enterprise

Claude Tag embeds Claude directly into Slack with ambient context and org-wide tools. Learn what it means for enterprise AI adoption and vendor lock-in.

ClaudeWorkflowsEnterprise AI

G Stack by Garry Tan: 23 AI Specialists and 8 Power Tools for Your Coding Agent

G Stack turns Claude Code into a virtual engineering team with 23 specialists including CEO, QA lead, and security officer. Here's how to install and use it.

ClaudeWorkflowsAutomation

GLM 5.2 Architecture Deep Dive: Index Share, Sparse Attention, and Multi-Token Prediction

GLM 5.2 achieves 2.9x fewer compute operations at 1M token context using Index Share sparse attention. Here's the technical breakdown for AI builders.

LLMs & ModelsAI ConceptsPrompt Engineering

How to Build a Brand Context Folder for Claude Code: Voice, Visual Identity, and Positioning

A brand context folder gives Claude your voice profile, design tokens, and ICP so every output inherits your identity. Here's how to build one in 30 minutes.

ClaudeWorkflowsContent Creation

How to Use AI Agent Skills and Plugins in Claude Code and Codex: A Practical Guide

Skills are reusable instruction files; plugins bundle skills, agents, and MCPs. Learn how to install and use both in Claude Code, Codex, and other harnesses.

WorkflowsAutomationClaude

How to Use the Graphify Skill to Build a Queryable Knowledge Graph for AI Agents

Graphify converts codebases and notes into a queryable knowledge graph that reduces token costs by letting agents query structure instead of raw files.

WorkflowsAutomationAI Concepts

What Is the AI-Driven SDLC? How Agentic Engineering Shifts the Software Bottleneck

The AI-driven SDLC compresses implementation from weeks to hours but shifts the bottleneck to specification quality and validation. Here's what that means.

WorkflowsAutomationAI Concepts

What Is GLM 5.2? The Open-Weight Model With Frontier-Level Coding and 1M Token Context

GLM 5.2 is a 744B MoE open-weight model with a 1M token context window, sparse attention, and pricing 10x cheaper than Claude. Here's what sets it apart.

LLMs & ModelsAI ConceptsComparisons

What Is a Loop of Loops? How to Build AI Agents That Coordinate Recurring Work

A loop of loops lets multiple recurring AI jobs notice each other, share context, and hand off tasks. Here's the concept and how to build one for your business.

Multi-AgentWorkflowsAutomation

What Is OpenAI's Jalapeno Chip? The Custom AI Inference Processor Explained

OpenAI's Jalapeno is a custom ASIC built for LLM inference, designed in 9 months with AI assistance. Here's what it means for AI speed and cost.

GPT & OpenAIAI ConceptsEnterprise AI

What Is Sakana Fugu Ultra? The Multi-Model Orchestrator That Beats Frontier AI

Sakana Fugu Ultra is an LLM pool that coordinates multiple models to outperform GPT and Claude on coding benchmarks. Here's how it works.

Multi-AgentLLMs & ModelsAI Concepts

What Is Seedance 2.5? ByteDance's 30-Second AI Video Model With 50 References

Seedance 2.5 brings 30-second shots, 4K output, and 50 multimodal references per generation. Here's what it means for AI video workflows.

Video GenerationAI ConceptsWorkflows

How to Build an AI Agent Loop for Recurring Business Tasks: A Practical Guide

AI agent loops handle recurring jobs with memory so you stop re-prompting the same tasks. Learn how to identify, design, and deploy loops for your workflows.

WorkflowsAutomationUse Cases

How to Build an AI Newsletter Digest Workflow with Claude Code, Gmail MCP, and /goal

Use Claude Code skills, Gmail MCP, and the /goal command to automatically scan your inbox for AI news, score stories, and draft LinkedIn posts every morning.

WorkflowsAutomationContent Creation

What Is Cursor's Composer Model? How a Coding Tool Became a Frontier AI Lab

Cursor trained Composer 2.5 on Qwen K2.5 with novel RL techniques, competing with GPT 5.5 and Opus. Learn how the SpaceX acquisition changes everything.

LLMs & ModelsAI ConceptsMulti-Agent

G Stack by Garry Tan: How to Turn Your AI Coding Agent Into a Virtual Engineering Team

G Stack gives your AI agent 23 specialist roles and 8 power tools. Learn how to install it in Claude Code or Codex and use it for code review and planning.

WorkflowsAutomationUse Cases

GLM 5.2 vs Claude Opus 4.8: Which Model Wins for UI Generation and Agentic Coding?

GLM 5.2 beats Claude Opus 4.8 on design taste and costs up to 10x less. Compare both models on 3D scenes, dashboards, landing pages, and mini games.

LLMs & ModelsClaudeComparisons

How to Use the /goal and /routines Commands in Claude Code for Scheduled Autonomous Workflows

The /goal command keeps Claude running until completion criteria are met. Pair it with /routines to build autonomous daily workflows that run without you.

WorkflowsAutomationClaude

How to Use Graphify to Build a Queryable Knowledge Graph for Your AI Agent

Graphify turns codebases and notes into a queryable knowledge graph, saving tokens and giving your agent persistent memory. Here's how to install and use it.

WorkflowsIntegrationsProductivity

How to Run GLM 5.2 in Claude Code Using OpenRouter: A 5-Minute Setup Guide

You can run GLM 5.2 inside Claude Code's harness via OpenRouter in minutes. This guide covers setup, the anthropic_base_url trick, and web search integration.

LLMs & ModelsIntegrationsWorkflows

What Is Seedance 2.5's 50-Reference Multimodal Input? How It Solves Consistency in Long AI Videos

Seedance 2.5 accepts 50 multimodal references including images, video, audio, and 3D assets to keep characters and scenes consistent across 30-second clips.

Video GenerationAI ConceptsContent Creation