Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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How to Build an AI Workflow That Controls the Agent Instead of Letting the Agent Control Everything
The most reliable AI coding systems put the workflow in charge, not the agent. Here's how to design harnesses that enforce validation and prevent drift.
How to Use the Claude Code /btw Command to Save Tokens and Ask Questions Mid-Task
The Claude Code /btw command lets you ask questions or add context without interrupting your main thread — cutting token costs by up to 50%.
Claude Code Skills Architecture: Why Your skill.md File Should Only Contain Process Steps
Most Claude Code skills fail because everything is crammed into skill.md. Here's the correct architecture: process in skill.md, context in reference files.
How to Build an Image-to-Image Search System for Business Using Gemini Embedding 2
Learn how to build an image similarity search system for business use cases like roofing, real estate, or e-commerce using Gemini Embedding 2.
How to Use Imagen 2 for E-Commerce Product Photography: A Practical Guide
Imagen 2 can place a single product image into unlimited scenes with consistent detail. Here's how to use it for e-commerce product photography.
Imagen 2 (Gemini 3.1 Flash Image) Review: Subject Consistency, Prompt Adherence, and Use Cases
Google's Imagen 2 delivers near-perfect prompt adherence and subject consistency across scenes. Here's what it can do and where it falls short.
Imagen 2 vs Gemini Embedding 2: What's the Difference and Which Do You Need?
Imagen 2 generates images while Gemini Embedding 2 enables multimodal search. Learn which Google AI model fits your workflow and when to use both.
Imagen 2 vs GPT Image 1.5 vs Midjourney: Which AI Image Model Wins in 2026?
Compare Imagen 2, GPT Image 1.5, and Midjourney across realism, prompt adherence, subject consistency, and practical use cases to find the best fit.
How to Build a Multimodal RAG Chatbot for Product Manuals with Gemini Embedding 2
Learn how to build a chatbot that searches PDFs, images, and diagrams using Gemini Embedding 2 and Pinecone — no complex pipeline required.
How to Build a Multimodal Vector Database with Gemini Embedding 2 and Pinecone
Step-by-step guide to building a multimodal vector database using Gemini Embedding 2 and Pinecone — covering text, images, video, audio, and PDFs.
Stripe Minions vs Shopify Roast: How Enterprise AI Coding Harnesses Actually Work
Stripe and Shopify both built structured AI coding harnesses. Here's how they work, what they have in common, and what you can learn from each.
How to Build a Structured AI Coding Workflow with Deterministic and Agentic Nodes
Learn how to combine deterministic validation steps with AI coding agents to build reliable, production-grade workflows that catch errors automatically.
What Is the Three-Tool Rule? Why Using More Than Three AI Tools Hurts Productivity
Harvard research found productivity peaks at three AI tools and drops with each addition. Here's what the science says and how to apply it to your stack.
How to Time-Box AI Sessions to Prevent Burnout and Protect Deep Work
Time-boxing your AI usage prevents cognitive fatigue and workload creep. Here's a practical framework for separating thinking time from AI-assisted execution.
What Is an AI Agent Harness? The Architecture Behind Stripe's 1,300 Weekly AI Pull Requests
Stripe ships 1,300 AI-written PRs per week using a structured agent harness. Here's what that means and how the architecture works.
What Is AI Workload Creep? How AI Tools Expand Your Task List Instead of Shrinking It
AI workload creep happens when faster task completion leads to more tasks, not less work. Here's the research behind it and how to avoid the trap.
What Is Domain Verifiability? The Key to Knowing When AI Agents Can Replace Human Work
Domain verifiability determines whether AI agents can reliably complete a task. Here's how to assess your work and identify what's safe to delegate.
What Is the Sniff-Check Skill? Why Evaluation Beats Execution in the Age of AI Agents
As AI agents handle more execution, the ability to evaluate output quality becomes the most valuable skill in any knowledge work role.
AI Benchmark Gaming: Why Claude Opus 4.6 Hacked Its Own Test (And What It Means for Agents)
Claude Opus 4.6 found the encrypted answer key on GitHub and decoded it. Learn why AI benchmark gaming is a specification problem, not an alignment failure.
How to Use Browser Automation with Claude Code for Web Scraping and Form Filling
Claude Code can control browsers using Playwright to fill forms, scrape sites, and automate web tasks. Learn how to set it up and run parallel browser agents.
How to Build a Multimodal Search System with Gemini Embedding 2
Step-by-step guide to building a unified search pipeline using Gemini Embedding 2 to index and query text, images, audio, video, and PDFs in one vector store.
Claude Code Skills: How to Install and Customize Marketplace Skills for Your Business
Installing Claude Code skills from marketplaces without customization produces generic output. Learn the right way to add brand context and reference files.
Parallel Browser Agents: How to Run Multiple Claude Code Instances Simultaneously
Learn how to spawn multiple Claude Code browser agents in parallel to complete web automation tasks like form filling and lead outreach at scale.
What Is Brain Emulation? How Scientists Uploaded a Fruit Fly's Brain and What It Means for AI
Eon Systems mapped every neuron of a fruit fly brain and ran it in simulation. Learn what whole-brain emulation is and why it could change the path to AGI.