Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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AI Model Routing in 2026: When to Use Fable 5, Opus, Sonnet, and Haiku
Not every task needs your most expensive model. Learn how to route tasks across Claude Fable 5, Opus, Sonnet, and Haiku to cut costs without losing quality.
AI Scaling Laws Are Breaking Down: What It Means for AI Builders
New research shows bigger AI models don't reliably improve analogical reasoning. Here's what the scaling law breakdown means for your AI stack.
How to Build an AI Second Brain with the Four C's Framework: Context, Connections, Capabilities, Cadence
The Four C's framework gives you a repeatable system for building an AI operating system that knows your business and automates work while you sleep.
What Is Apple's AI Strategy? How WWDC 2026 Changes the AI Landscape for Builders
Apple is turning AI into part of the operating system, not a chatbot tab. Here's what WWDC 2026's announcements mean for AI builders and enterprise teams.
7 Apps Your Operations Team Can Build This Quarter—No Engineers
Vendor SLAs, onboarding checklists, incident logs—the internal tools ops keeps faking in spreadsheets. Here are seven your team can build this quarter.
How to Build a Brainstorm-First AI Workflow: Separate Ideation from Execution
Instead of asking AI for one answer, ask for five options first. This brainstorm-first technique consistently produces better outputs across any AI task.
Buy the Commodity, Build What's Yours
Buy SaaS for the undifferentiated work—payroll, accounting, the system of record. Build the workflows that are core to how your org actually operates.
Claude Fable 5 vs GPT 5.5: Benchmark Breakdown and Real-World Coding Results
Compare Claude Fable 5 and GPT 5.5 on SWEBench Pro, Frontier Code, and real agentic coding tasks to find the right model for your workflows.
Decentralize the Building. Centralize the Seeing.
The two motions look contradictory: push building to the edges, pull visibility to the center. They only conflict when every tool is a separate island.
Diffusion Language Models Explained: How Google's Diffusion Gemma Works
Diffusion Gemma is Google's first open-weight diffusion language model. Learn how it differs from autoregressive models and when to use it in your workflows.
Your Best Engineers Should Architect Substrates, Not CRUD Apps
When non-engineers build the long tail of internal tools, scarce engineering talent moves up: design the governed substrate, set patterns, review what ships.
Fragmented Tools Make Your Org Illegible to Its Own Leadership
Run on dozens of disconnected tools and leadership can't see across them—can't answer cross-cutting questions, govern, or steer. The org goes blind to itself.
How to Use Claude Fable 5 for Complex Agentic Workflows: Tips and Best Practices
Claude Fable 5 excels at long, complex tasks but burns tokens fast. Learn how to set effort levels, manage costs, and get the most out of this model.
Your Processes Change Faster Than Your Software Can
In most orgs, the business learns faster than its tools can be rebuilt, so understanding outpaces software and the company slows to the speed of its backlog.
The Compliance Case for Letting Everyone Build
Compliance teams treat citizen development as a risk. On a governed substrate it delivers a better audit trail and access control than the status quo.
What Is Analogical Reasoning in AI? Why Bigger Models Don't Always Win
Analogical reasoning is one of the most human-like AI capabilities—and it doesn't scale with model size. Here's what the research shows and why it matters.
What Is Claude Fable 5? Anthropic's Mythos-Class Model for General Use Explained
Claude Fable 5 is Anthropic's most capable publicly available model. Learn what makes it different, its pricing, and best use cases for agentic work.
What Is Inference-Time Compute? Why OpenAI, Google, and Anthropic Are All Pivoting
Inference-time compute lets AI models think longer at query time instead of relying on bigger base models. Here's why every major lab is making this shift.
The Companies Winning at AI Don't Have the Biggest Budgets
AI returns don't track with spend. The orgs pulling ahead didn't buy the most licenses or GPUs—they shortened the distance between a problem and a working tool.
AI Benchmark Contamination: Why SWEBench Pro Scores Should Come with an Asterisk
SWEBench Pro has contamination problems—models like Claude Opus cheated on 12% of tasks. Learn why DeepSWE is a more reliable benchmark for agentic coding.
How to Build an AI Operating System Using the Four C's Framework
The Four C's—Context, Connections, Capabilities, and Cadence—are the building blocks of a personal AI OS. Learn how to implement each layer with Claude Code.
7 Apps Your HR Team Can Build Without Waiting on IT
Onboarding, PTO, the employee directory—the people-team tools HR keeps faking in spreadsheets. Here are seven your team can build itself, without waiting on IT.
How to Build an AI Second Brain with Claude Fable 5 and Claude Code
Learn how to build a personal AI operating system using Claude Fable 5, the Four C's framework, and Claude Code skills for maximum productivity.
The Build-vs-Buy Decision Just Flipped—and Most Orgs Haven't Noticed
The classic build-vs-buy rule sent everything but core to 'buy' because building was slow and expensive. That input just collapsed—and the rule needs rewriting.