Founder Letter

Every morning before work, I spend 10–20 minutes scrolling X, Hacker News, GitHub trending, and the official blogs of Anthropic, OpenAI, DeepSeek, and a few other LLM labs. It's a noisy, attention-hungry routine—I check whatever comes to mind; I miss official updates until they hit social media; I'm an hour late realizing "oh, they already shipped that."
What worries me more: North America and East Asia are on two very different agent paths. NA leans closed-source—Anthropic, OpenAI, and Google ship frontier models behind APIs, while Cursor, Devin, and Manus iterate fast at the wrapper layer. EA leans open-source—Qwen, DeepSeek, Kimi, and GLM keep dropping open-weight models, and ByteDance and Alibaba push agent frameworks straight to GitHub. The two ecosystems differ in strategy, rhythm, and stack—and nobody is doing the systematic, side-by-side coverage of what's happening on both sides in the same time window.
Mainstream English-language agent media gets NA's closed-source ecosystem but doesn't track EA's open-source side. Mainstream Chinese AI press covers domestic moves but rarely goes deep on NA's technical details. I bounce between the two feeds every day, piecing together "what shipped today" by hand—high effort, low signal.
I built muzh.io because I needed this myself.

Who I am

I'm an AI builder. I've previously built a full suite of enterprise-grade tools on top of AI coding agents; these days I focus on harness engineering and agent / agent tooling, and I keep a small stable of agents handling parts of my daily workflow.

What muzh.io ships

M1 · Agent Daily—one issue every weekday (Monday–Friday). Each issue: 5–7 curated signals across new models, new capabilities, harness engineering, new frameworks, or impact analysis. Every signal links directly to the source (vendor blog or paper—not someone else's hot take), plus one builder "so-what" telling you whether it's worth your click. Three regions: NA / EA / Cross-region; each region split into LLMs / KOLs / Others. The structure stays stable—if a vendor ships nothing that day, you'll see "no updates today," so you can tell at a glance who's moving.
Target read time: 3–5 minutes. I read it myself.
M2 · Methodology—a long-form essay every month. This is the core of muzh.io:
  • Closed-source NA vs. open-source EA — comparative deep dives (think "Manus vs Devin," "Qwen-Agent vs Claude Agent SDK")
  • Builder-lens engineering teardowns (architecture, moats, failure modes, engineering trade-offs—drawing on both external products and my own automation work)
  • Macro patterns across months (occasional)—zooming out over a month to spot "multiple labs converging on the same idea" signals; not on a fixed cadence, only when it's worth zooming out
No consumer-style reviews—muzh.io doesn't ask "is this agent any good?" For the north-star reader (people building agent frameworks, infrastructure, research, or low-level systems), the real question is: "if I were doing this, which parts should I copy and which should I avoid?"
Major events, ad-hoc—when something actually deserves to interrupt you (major model launches, industry-scale shifts), I send one email. Frequency stays low (fewer than 5 a year).

What you won't read

  • Consumer-style AI reviews ("is this agent any good?")
  • Intros and explainers (what is an agent, what is RAG—the internet has plenty)
  • Clickbait
  • Prompt hacks / fringe tricks

Timeline

  • August 1, 2026—M1 weekday cadence (5×/week) goes live + First M2 essay
  • Between now and August 1, M1 reset (this letter) + the automation infrastructure I'm building for it (built with agents; the engineering breakdown will eventually become an M2)

An invitation

What I spend 10–20 minutes a day on, muzh.io compresses into 3–5.
Subscribe to muzh.io to get:
  • M2 long-form (one essay a month, builder-lens deep dives on AI agents)
  • Major events ad-hoc (only when it actually deserves to interrupt you—fewer than 5 a year)
You won't get M1 daily—daily emails tank open rates. M1 lives on the site, in RSS, and on X (@muzh_io).
The first M2 essay is planned for August 1, 2026.
If you're building agents, write me directly at muzh@muzh.io—tell me what you want to read, what you've run into, or what NA + EA are both working on but nobody is writing about systematically. That feedback drives the M2 backlog.
— muzh
Loading...