We organize our work in 8-week cycles with a focus on autonomy and craftsmanship. This framework helps us deliver high-quality software while maintaining flexibility and work-life balance.

How we work

How we structure our time to maximize creativity, productivity, and balance

Work routine

A standard operating procedure for a high-fidelity, low-latency shadowing workflow using git, tailscale, and aerc.

A protocol for asynchronous shadowing

How we do effective planning and reporting at Dwarves

Effective planning and reporting

I've been experimenting with making AI assistants work not as a single tool, but as a specialized team. It seems to work surprisingly well.

The Coding Agent Team

This memo is essentially a playbook and recipe on how to record the Discord events.

Set up recording workflow for OGIF

Most people confuse LLMs, workflows, and agents, but understanding these three levels unlocks the real potential of AI automation. The key difference lies in who makes the decisions.

AI agent explained

Discover the real work behind staying visible in the age of AI search. This guide breaks down the habits, tracking, and edits that keep your memos in the game.

The grind behind GEO: what it really takes to stay seen

Most people give AI commands and expect perfect results, but the most effective approach flips this dynamic. Letting AI ask you questions transforms shallow outputs into precisely targeted solutions.

Let AI ask you

Most people struggle with AI tool paralysis and prompt fatigue, but building an AI-native workflow comes down to three focused strategies. The key is systems over tools.

Your AI approach

See how Brainery changes your reading game, helping you learn more and find new things to read, all in a smart loop.

Reading after brainery

Understand the automated processes and tools that transform Markdown content into the published Memo website, ensuring content quality and consistency.

The Memo build and content quality pipeline

A behind-the-scenes look at how we built our video pipeline for long-form explainers and short-form content, from script to screen, with AI in the loop.

#workflow

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