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  • 5 Pro Tips for Building 24/7 OpenClaw AI Agent Teams

    Just shared my 5 pro tips with @Jason at @twistartups about building OpenClaw AI Agent team that works 24/7 1: Start With One Agent. Onboard It Like a New Hire. 2: Talking to Your Agents Is All You Need 3: Put Your Agents on Cron Schedules 4: Add Cross-Agent Memory When You Start Scaling 5: Let Your Agents Get Better on Their Own @jason (@Jason) How to Build an Autonomous 24/7 Agent (feat. Shubham Saboo) nitter.net/i/broadcasts/1dJrPEMkg… — https://nitter.net/Jason/status/2038667255769391256#m

    → View original post on X — @saboo_shubham_, 2026-03-30 18:26 UTC

  • The steelman debate machine with constitutional AI

    7- THE STEELMAN DEBATE MACHINE WITH CONSTITUTIONAL AI You are a debate partner operating under the constitutional principle of intellectual honesty from Anthropic, specifically practicing steelmanning, where instead of attacking the weaker version of the opposing argument, you build the MOST

    → View original post on X — @jouhatsu_ai

  • Claude vs Claude Code vs Cowork: Which Tool to Use When

    Claude vs. Claude Code vs. Cowork. If you've been confused about which one to use and when, this post will clear that up in under two minutes. Anthropic now offers three distinct ways to interact with Claude, and each one targets a fundamentally different workflow. Think of it as: Chat for thinking, Code for building, and Cowork for doing. Here's a quick breakdown: 1️⃣ Claude Chat This is the conversational AI assistant most people already know. You type a prompt, Claude responds, and you iterate together. – Turn rough ideas into structured plans through conversation – Write emails, reports, essays, and long-form content – Research and summarize complex topics in minutes – Analyze documents, PDFs, and images – Build interactive prototypes through Artifacts The key here is that everything happens through conversation. You're thinking with Claude, not delegating work to it. It's available on every device, has a free tier, and supports persistent memory across sessions. The tradeoff is that it has no direct access to your local files (upload only), and it can't generate raster images natively. 2️⃣ Claude Code This is a terminal-native coding agent. You describe what you want in plain English, and Claude reads your codebase, writes code, runs tests, fixes errors, and ships the result. – Build and debug entire features across the full codebase – Write, run, and fix tests automatically – Manage git workflows and create pull requests – Spawn multiple parallel agents working on different parts of a task simultaneously It handles the full development cycle end to end, from planning to execution to testing. With the CLAUDE(.)md configuration file, you can teach it your project's conventions, patterns, and constraints so it writes code the way your team expects. The tradeoff is a steeper learning curve compared to Chat, and token costs can add up during heavy sessions. 3️⃣ Claude Cowork This is the newest addition. Anthropic describes it as Claude Code for the rest of your work. It's an agentic desktop assistant that automates file management and repetitive tasks through a GUI. You describe an outcome, and Claude plans, executes, and delivers finished work: formatted documents, organized file systems, spreadsheets with working formulas, and synthesized research. – Direct local file access and editing (no upload/download cycle) – Schedule recurring tasks automatically – Assign tasks remotely via Dispatch from your phone – Computer Use lets Claude control your screen directly It runs inside a sandboxed virtual machine on your computer, so Claude can only access folders you explicitly grant. You don't need to know how to code to use it. The tradeoff is that your computer must stay awake for tasks to run, and it's still in research preview. Here's how to think about choosing between them: → If you need to think through a problem or get writing/research help, use Chat → If you're building software and want an autonomous coding partner, use Code → If you have a clearly defined deliverable that involves local files and desktop workflows, use Cowork All three are included in the same subscription starting at $20/month, which makes it one of the highest-leverage subscriptions in productivity software right now. I've put together a visual below that maps the workflow of each product side by side. If you want to go deeper into Claude Code specifically, I wrote a detailed article covering the anatomy of the .claude/ folder, a complete guide to CLAUDE(.)md, custom commands, skills, agents, and permissions, and how to set them all up properly. Link in the next tweet.

    → View original post on X — @akshay_pachaar, 2026-03-30 13:15 UTC

  • User Issue: Switch AI Models with /model Command

    Nah it’s a user issue. Use /model to switch, it’s not sth the agent can do itself.

    → View original post on X — @steipete

  • Pomodoro Coach Prompt for Claude

    Here's the prompt that turns Claude into your Pomodoro productivity coach: You are a Pomodoro productivity coach who has internalized Francesco Cirillo's complete methodology — not the watered-down "just use a timer" version. You understand the six incremental mastery goals: (1)

    → View original post on X — @godofprompt

  • Releasing Prompts: The New Open Source Movement

    Releasing the prompt is the new open source.

    → View original post on X — @jiqizhixin

  • AI will make expert knowledge accessible to all

    I would expect that a lot of things that were old hat to experts, but completely inaccessible to most people, will go viral in the coming months. Sure, anyone could have done those things before, but it required a lot of deep knowledge. Now the AI can make it happen by asking.

    → View original post on X — @emollick

  • Natural-Language Agent Harnesses Improve Model Performance Architecture
    Natural-Language Agent Harnesses Improve Model Performance Architecture

    “Natural-Language Agent Harnesses” This paper argues that agent performance increasingly depends on the harness around the model, but that harness logic is usually buried in controller code and runtime-specific conventions. So they propose Natural-Language Agent Harnesses

    → View original post on X — @askalphaxiv

  • The Agentic AI Bible: Complete Guide to LLM-Powered Agents

    Check this out at http://
    amzn.to/4sUCgzc "The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Build, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve"

    → View original post on X — @kirkdborne

  • Use Voice Input to Code with Claude via Speaking

    15/ Use /voice to enable voice input Fun fact: I do most of my coding by speaking to Claude, rather than typing. To do the same, run /voice in CLI then hold the space bar, press the voice button on Desktop, or enable dictation in your iOS settings.

    → View original post on X — @bcherny