惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

WordPress大学
WordPress大学
Stack Overflow Blog
Stack Overflow Blog
人人都是产品经理
人人都是产品经理
Y
Y Combinator Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
D
DataBreaches.Net
GbyAI
GbyAI
Microsoft Security Blog
Microsoft Security Blog
博客园_首页
大猫的无限游戏
大猫的无限游戏
Jina AI
Jina AI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Engineering at Meta
Engineering at Meta
IT之家
IT之家
MongoDB | Blog
MongoDB | Blog
The GitHub Blog
The GitHub Blog
月光博客
月光博客
U
Unit 42
Hugging Face - Blog
Hugging Face - Blog
博客园 - 叶小钗
腾讯CDC
B
Blog RSS Feed
博客园 - Franky
爱范儿
爱范儿

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
I tracked every async writing block for 90 days. Output n...
강해수 · 2026-06-19 · via DEV Community

강해수

Switching from Obsidian-first drafting to Claude-first drafting nearly doubled my usable words per 90-minute block: from ~420 to ~780. That number surprised me. The failure mode surprised me more.

For the first six weeks I drafted in Obsidian — vault, MOCs, Templater scripts, the whole setup. The graph view is genuinely beautiful. It's also a distraction engine when you need 800 words out before a client call. I logged every block with Toggl and checked output against a plain Notion table. My honest average across three weeks of tracking: 420 usable words per block. The rest of the time disappeared into relinking notes, reformatting, and following threads that felt like thinking but were closer to procrastination with good aesthetics.

Weeks seven through twelve I switched. I'd paste 3-5 bullet points from my daily note into Claude Sonnet and ask for a rough 600-word first-pass draft — not for publication, just a working surface. Output was usually 70% there in about four minutes. Wrong emphasis sometimes, occasionally a phrase I'd never actually use, but editable. Editing is a cognitively different task than staring at a blank file, and that difference compounded across six weeks into roughly 780 usable words per block. The failure mode, though: Claude produces fluent, confident prose that can quietly get your own opinion backwards. Twice I nearly published a draft that argued the opposite side of a nuanced take I actually hold. Technically accurate. Tonally close. Factually wrong about what I think. That quality control cost doesn't show up in a word count.

The framing that pits PKM tools against AI drafting tools is the wrong lens. They're not competing — they're doing different jobs at different points in the same block. The real variable is workflow shape, and which shape you use has measurable consequences on what actually ships by end of day.

I wrote up the full breakdown — including the side-by-side failure mode table, the CRM project that ate three weeks, and why the "second brain" framing oversells the drafting phase — over on dailyfocusmag.

Full post →