Insights for AI builders
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
AI Model Pricing in 2026: GPT-5.6, Grok 4.5, Muse Spark, and Claude Fable 5 Compared
Compare the real cost per task across GPT-5.6 Sol, Grok 4.5, Meta Muse Spark 1.1, and Claude Fable 5 to find the best value for your AI workflows.
How to Build an AI-Powered Personal Productivity Dashboard with ChatGPT Work Mode
Use ChatGPT Work Mode to build a daily control tower that monitors email, Slack, calendar, and brand mentions—all from one AI-powered dashboard.
How to Build an Autonomous Marketing Campaign with GPT-5.6 and AI Video Tools
Learn how to use GPT-5.6 Sol to autonomously generate products, ad images, and marketing videos using a parallelized multi-agent pipeline.
How to Use Claude Code with Clay for Automated Lead Generation and Cold Outreach
Use Claude Code as an orchestrator and Clay as your data source to find leads, enrich contacts, and write personalized cold emails automatically.
How to Use the /goal Command in Claude Code for Fully Autonomous Agent Loops
The /goal command lets Claude Code run until a condition is met. Learn how to set goals, success criteria, and verification steps for autonomous workflows.
How to Use GPT-5.6 Sol as an Orchestrator with Cheaper Sub-Agent Models
GPT-5.6 Sol excels at planning and orchestration. Learn how to pair it with Luna or Terra sub-agents to cut costs while keeping output quality high.
GPT-5.6 Sol vs Claude Fable 5: Which Frontier Model Wins for Planning and Code Review?
GPT-5.6 Sol and Claude Fable 5 excel at different tasks. Learn which model to use for planning, code review, and long-running agentic workflows.
Grok 4.5 vs GPT-5.6 Sol: Cost, Speed, and Agentic Coding Performance
Grok 4.5 and GPT-5.6 Sol both target agentic coding at competitive prices. Here's how they compare on benchmarks, cost per task, and real-world results.