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Tutorials, product updates, and ideas to help you build and ship AI applications faster.

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How to Use the Advisor-Executor Pattern: Plan with Fable 5, Build with Sonnet

Cut AI costs by 50% using the advisor-executor pattern. Use Fable 5 for planning and code review, then switch to Sonnet for implementation and execution.

Claude Workflows Optimization

How to Use AI Agents for Shared Workspace Productivity: Capture, Queue, and Eval

Discover how to build a shared AI-human workspace using low-friction capture, agent queues, and evaluation checklists that run 20+ tasks simultaneously.

Automation Workflows Multi-Agent

How to Build an AI Content Factory: Automate Product Videos with Multi-Agent Workflows

Turn a static product catalog into marketing videos automatically. Learn how to use multi-agent workflows and AI video tools to generate content at scale.

Multi-Agent Workflows Automation

How to Build an AI Second Brain with Obsidian and Claude: The LLM Wiki Method

Learn how to build a self-updating AI knowledge base using Obsidian and Claude. Automate data ingestion, cross-linking, and daily briefings from one vault.

Claude Workflows Automation

How to Build an AI Video Generation System with Multi-Agent Workflows

Learn how to use parallel agent workflows to generate marketing videos for an entire product catalog automatically—from image validation to final render.

Multi-Agent Workflows Automation

ChatGPT Work Mode vs Claude Co-work: Which AI Super App Wins for Teams?

ChatGPT Work and Claude Co-work both promise agentic productivity. Compare features, pricing, and real workflows to pick the right tool for your team.

GPT & OpenAI Claude Comparisons

Claude Co-work Now Runs in the Cloud: What Changed and How to Use It

Claude Co-work moved from desktop-only to cloud-based scheduled tasks. Learn what changed, which connectors still need a local machine, and how to migrate.

Claude Automation Workflows

GPT-5.6 Soul vs Claude Fable 5: Which Frontier Model Wins for Agentic Work?

GPT-5.6 Soul and Claude Fable 5 are the top frontier models in 2026. Compare benchmarks, pricing, and real agentic workflows to choose the right one.

GPT & OpenAI Claude Comparisons

What Is the In-House AI Consultant Role? The $200K Career That Didn't Exist Last Year

Companies are creating in-house AI consultant roles faster than any other position. Learn what the job entails and how to create it from inside your company.

AI Concepts Use Cases Productivity

Local AI vs Cloud AI: Open-Weight Models, Licensing, and the Hybrid Routing Strategy

71% of ChatGPT queries could run locally, but open-weight licensing is a minefield. Learn the three tiers of local AI and when hybrid routing saves money.

LLMs & Models AI Concepts Optimization

How to Reduce Claude Fable 5 Token Costs: 8 Settings to Change Right Now

Claude Fable 5 bills at API rates after July 12. These 8 settings—default model, sub-agent model, Claude.md size, MCP servers—cut costs without hurting quality.

Claude Optimization Workflows

What Is a 26M Parameter Function Calling Model? Cactus Needle Explained

Cactus Needle is a 26 million parameter model built purely for function calling. Learn how its attention-only architecture beats models 20x larger on tool use.

LLMs & Models AI Concepts Integrations

What Is ChatGPT Work Mode? OpenAI's Super App for Productivity Explained

ChatGPT Work Mode combines agentic task execution, site hosting, 1,500+ plugins, and the GPT-5.6 model family into one unified productivity platform.

GPT & OpenAI Workflows AI Concepts

What Is GPT-5.6 Ultra Mode? Multi-Agent Coordination for Complex Tasks

GPT-5.6 Ultra Mode spawns four or more parallel agents to tackle demanding tasks. Learn how it works, what it costs, and when it's worth using.

GPT & OpenAI Multi-Agent LLMs & Models

What Is the AGI-to-ASI Timeline? Google DeepMind's Four Pathways Explained

Google DeepMind's paper outlines four pathways from AGI to superintelligence: scaling, paradigm shifts, recursive self-improvement, and AI collectives.

AI Concepts LLMs & Models Gemini

How to Use AI Agents for Content Marketing: From Research to Published Post

Build an AI agent workflow that handles research, ideation, writing, and publishing for content marketing using Claude Code and automation tools.

Workflows Automation Content Creation

How to Build an AI Second Brain with Obsidian and Claude Code: The LLM Wiki Method

Learn how to build an AI-maintained knowledge base using Obsidian and Claude Code, inspired by Andrej Karpathy's LLM Wiki architecture.

Workflows Automation Claude

AI Video Generation for E-Commerce: How to Turn Product Images Into Marketing Videos

Use AI video tools and agent workflows to automatically generate product videos, UGC-style ads, and B-roll from your existing product catalog images.

Automation Workflows E-Commerce

How to Use ChatGPT Sites to Build and Host Web Apps Without a Backend

ChatGPT Sites lets you generate, host, and share fully functional web apps from a single prompt. Here's how it works and when to use it.

GPT & OpenAI Workflows Use Cases

How to Use Claude Code with Clay for AI-Powered Lead Generation

Use Claude Code as an orchestrator and Clay as your data source to find, enrich, and write personalized cold outreach at scale automatically.

Workflows Automation Claude

Local AI vs Cloud AI for Agents: The Hybrid Routing Strategy That Saves Money

Learn when to run AI models locally and when to route to cloud APIs. A practical hybrid strategy for reducing costs without sacrificing quality.

LLMs & Models Workflows Optimization

How to Use Multi-Agent Workflows for Parallel Content Production at Scale

Fan out multiple AI agents to process product catalogs, generate content, and validate outputs in parallel using orchestration tools like Archon.

Multi-Agent Workflows Automation

Open-Weight AI Models Are Closing the Gap: What GLM 5.2 Means for Your Agent Stack

GLM 5.2 beats models 20x its size on function calling and design tasks. Here's what open-weight AI catching up means for your automation stack.

LLMs & Models Automation AI Concepts

What Is a 26M Parameter Function Calling Model? Cactus Needle Explained

Cactus Needle is a 26M parameter model built purely for function calling. Learn its architecture, use cases, and how to fine-tune it on a CPU.

LLMs & Models AI Concepts Automation