# productivity

Brent Fitzgerald came back from a few weeks off AI and found a pile of half-finished agent tabs that felt more like guilt than output. What you actually have to protect is not "use more models," but being the loop yourself, and only tagging an agent in now and then.

Turn OpenAI’s GPT‑Live real-time voice from a “chat box that talks” into an English speaking partner you can freeze on, re-say, and drill by scenario. Includes a beginner lock-in prompt, five travel scenarios, IELTS speaking practice, a five-minute recap, and what free vs paid plans can actually do.

There are hundreds of videos out there on how to remember everything you read, with millions of views between them. Dan Koe says the whole premise is pointed the wrong way: memory is not an input problem, it is a feedback-system problem. This one covers the four parts of helmsman-style learning, why the second brain turns into a graveyard for ideas, and a note-taking and writing workflow you can actually pull from.

Sabrina shares six practical ways to cut Claude Code token usage in half: switch models, clear context, use CLIs instead of MCP, compress MCP output, slim down CLAUDE.md, and route simple tasks to local models. They’re all free, and most take less than five minutes.

A one-person company in 2026: one person on strategy, configured agents on execution — ~$300/month replacing an $80–120k/month team. The how-to: a Company OS plus four agents — research, writing, sales, ops. On 'works while you sleep' — gu-log runs like this, so we know what the fine print says.

A guy spent two years doing every productivity tip out there, only to realize he had become "the most disciplined unproductive person alive." The problem was not a lack of effort — it was making the optimization system itself the goal, and forgetting to ask what it was all for.

A power user analyzed 6,852 Claude Code sessions and 17,871 thinking blocks, proving with data that CC really did get 'lazier' — Read:Edit ratio dropped from 6.6 to 2.0. Then Anthropic engineer Boris Cherny explained the real reason, and how to fix it.

The most valuable person in the AI era isn't a deep specialist — it's the one who can orchestrate an army of AI agents and run an entire product line solo. The shift from IC to Generalist Orchestrator is already happening.

Karpathy shared his experience building a personal knowledge base with LLMs, earning 29,000 bookmarks. Huryn argues the real killer feature isn't reading — it's writing back. When your LLM automatically updates your knowledge base, your personal wiki becomes a personal research team.

Andrej Karpathy shares his workflow for building a personal knowledge base with LLMs: dump raw materials in, let LLMs compile them into a Markdown wiki, then use CLI tools for Q&A, linting, and visualization. He thinks there's room for an incredible new product here.

xkcd #1205 taught a generation of engineers how to think about automation ROI. But AI changed the most expensive variable in that equation: the real return now is often not minutes saved, but cognitive load removed.

Boris Cherny shares 15 lesser-known Claude Code features he uses every day — from the mobile app and loop/schedule to worktrees and voice input.

rodspeed lays out six ways to use Claude Code as general automation, not just a code editor: fresh eyes, meta-skills, freshness-aware search, conversation harvests, structured memory, and handoffs. The deeper pattern is read, filter, decide, present.

Anthropic quietly released Dispatch, letting you remotely control Claude Cowork on your computer from your phone. Here's how to set it up, which workflows actually work, and its real limitations right now.

Think Claude Cowork is just a fancy chatbot? This post distills 400+ sessions into 17 setup secrets. Stop 'prompting' and start 'engineering' — build your own AI power-teammate.

A Sully.ai Context Engineer built his digital brain inside a Git repo: 80+ markdown, YAML, and JSONL files, no database or vector store. Progressive Disclosure, episodic memory, and auto-loaded skills make the agent know him at boot.

XinGPT says his AI Agent system cut daily routine work from 6 hours to 2, raised output by 300%, and costs $500/month in API fees plus 1 hour of daily review.

Claude Code CLI now includes first-class Git worktree support via `--worktree`. Teams can run multiple isolated AI coding sessions in parallel without file collisions, making multi-agent workflows more reliable and easier to standardize for real engineering teams.

Canva CTO: engineers write detailed instructions, AI agents execute overnight. Senior engineers now 'largely review.' Anthropic CEO calls this 'Centaur Phase.' Few orgs redesigned work for AI. Cora startup achieved 20-30 eng output with 6 people. AI improves exponentially, humans don't.

Steve Yegge's 'AI Vampire' theory: AI boosts productivity 10x, but who gets the 9x gain? If the company takes all, burnout. If you take all, company dies. Agentic coding is 3-4 hrs/day max. Yegge's $/hr formula: control the denominator, not the numerator.