From the Granular team

Ask your agent for one throwaway HTML file on your app's real styles instead of a plan you can't judge. Click every state, fix it by looking, then build. Prompts and five real examples.

How a designer runs a software company from one folder of markdown notes that AI agents read and write: how it evolved, why it works, and how it compares to ADRs and changelogs.

You are building with agents. They keep saying commit, push, branch, merge. This is the whole thing in simple terms, in order, with nothing assumed.

A smart boss model plans and reviews while cheaper worker models do the reading and typing. Modeled costs for coding, research, writing and everyday tasks with Claude, GPT-5 and DeepSeek.

The loading dock, the trade phone line, and the standard menu, the three ways software talks, explained for non-developers, and which one your AI agent should use.

From the command line to the graphical desktop to touch, and now to directing AI agents. Where human-computer interaction is going, and what the device becomes when agents do the work.

A practical walkthrough: go from a single sentence to a published landing page using Granular, describe it, refine it live, and ship it to your domain.

The terminal is the most powerful tool in computing, and almost nobody can use it. Granular changes that: an agentic terminal where you plug in your tools, API keys and AI agents to build anything and run any task.