I stopped opening IDE's The setup Two windows: 1. Claude Desktop App (for research, planning, long conversations) 2. Mac terminal running Claude Code (for all execution) Why this works better than running Claude Code inside an IDE When Claude Code runs inside an IDE terminal, every file operation passes through the editor's plugin layer: file watchers, extensions, lock conflicts. In a standalone terminal, Claude Code talks directly to your filesystem. No interception, no translation. The practical difference: - File writes are instant. No "file changed externally, reload?" dialogs. - Git operations run clean. No source control extension competing for the same lock. - Shell access is unfiltered. Package installs, curl, deployment scripts, SSH tunnels. All native. - No extension memory overhead. My terminal session uses a fraction of what VSCode was consuming. - MCP servers (GitHub, databases, APIs) wire in directly without fighting IDE plugin architecture. What a real session looks like Last week I built a Cloudflare Worker with KV bindings. One terminal window: - Claude Code scaffolded the project structure - Wrote the Worker handler, wrangler config, and KV namespace bindings - Ran wrangler deploy - Tested the endpoint with curl - Fixed a routing issue based on the error response - Committed and pushed Total time: under 20 minutes. I never typed a line of code. I described what I needed, reviewed the output, approved the operations. You're not coding in a terminal. You're directing an agent that codes for you. How to set this up (10 minutes) If you have a Mac and Claude Pro or Max: (On a PC? Your setup instructions are in the attached file.) 1. Install Claude Code: open terminal, run the install command from Anthropic's docs. 2. Run "claude" in any project directory. You're in an agentic session. 3. Open Claude Desktop App alongside for planning, research, and longer thinking conversations. Optional but useful: - Set up a .claude directory in your project with a CLAUDE.md file. Same idea as onboarding docs, but for your coding agent. Persistent instructions about your project, coding standards, and preferences.

From first client handoffs and SaaS traction to Claude-powered systems and internal tools - this week inside AIS+ showed what happens when builders focus on solving real problems and shipping fast. 🚀 Standout Wins of the Week inside AIS+ 👉 @Patrick Florencio built and deployed his first Claude Code ATS app, now used across a portfolio of 15 companies. 👉 @Dion Wang completed his first full client handoff after months of consistent building and refinement. 👉 @Bill Scully eliminated days of manual work by building an SEO migration evaluation agent. 👉 @Tobias Bielke got his first paying SaaS user, turning an idea into a real product with traction. 👉 @Debbie DeMarco Bennett built a forum scheduling automation handling 37 topics in under 2 minutes — plus launched her AI executive assistant. 🎥 Super Win Spotlight | @Diane McCracken Diane joined AIS+ during a difficult phase in life - with one clear goal:figure things out and rebuild. Since joining, she has: • Transitioned her business into a scalable, AI-driven model • Built multiple AI agents (now on her 4th iteration) • Integrated Claude deeply into her workflows and operations • Set a clear goal: rebuild to $10K/month and scale to $100K/month Her biggest shift? From doubt and uncertainty → to full commitment and action. Diane’s journey is proof that it doesn’t matter where you start - what matters is how quickly you decide to go all in. 🎥 Watch Diane’s story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀

Tonight Claude was about to do exactly the right thing. I typed /rewind to stop it. I was working on Athena, my executive assistant agent. The plan was already built. I wanted to run Ultra Plan against it (a hardening pass that stress-tests an existing plan instead of generating a new one). Claude misread the room and started executing the original plan from scratch. Not broken. Not hallucinating. Doing the wrong job confidently. Old me would have let it finish and untangled the duplicate work after. Or killed the terminal and lost the context. Tonight I typed /rewind, picked the checkpoint from before Claude started executing, changed directories, opened the right agent, and ran the hardening pass instead. 30 seconds, total recovery. Here's the shift in my head: confident wrong work takes twice as long to clean up as it took to generate. /rewind is the cheapest insurance policy in the entire Claude Code interface, and most people are still treating it like a panic button instead of a steering wheel. Three things worth knowing about /rewind: 1. Double-tap Esc does the same thing. Slash command or keystroke, your call. 2. When you pick a checkpoint, you get three restore options: code + conversation, conversation only, or code only. The conversation-only option is the sleeper. It rewinds the messages while keeping good file edits Claude made on the wrong path. Redirect the conversation without losing the work. 3. It does not track files touched by bash commands (rm, mv, cp) or manual edits outside the session. Direct Claude edits only. Plan accordingly. Three states every Claude Code session lives in: - Exploring: you don't know what you want yet - Building: you know exactly what you want - Redirecting: Claude is about to do the wrong right thing /rewind collapses redirecting from "stop, explain, re-prompt, hope" into one command and a checkpoint pick. I run 6 to 10 Claude Code sessions a day building client automations. The biggest unlock of the last three months wasn't a new model or a new MCP server. It was learning to redirect inside a session instead of restarting one.

Cloudflare just made AI security free for everyone Quick one worth knowing. Cloudflare announced AI Security for Apps is now generally available. The part that matters: AI discovery is free on every plan, including the free tier. What does that mean for you? If you're building anything with AI (chatbots, agents, automations, internal tools), Cloudflare can now automatically find and catalog every AI-powered app running on your infrastructure. It works regardless of which model you're using or where it's hosted. Why this is worth knowing: Most people building AI tools don't think about security until something breaks. Rogue AI tools are a real problem. People spin up AI experiments, connect them to real data, and forget about them. Cloudflare's discovery feature finds those forgotten deployments so you can decide what stays and what goes. The practical takeaway: If you're on Cloudflare (even the free plan), turn on AI discovery. It takes minutes. You can see every AI tool running on your site. That used to cost real money. And if you're building AI tools for clients or your own business, this is a free security layer you can add to any project. "We secured it with Cloudflare AI protection" is a real thing you can say now. In a client meeting, on a project page, wherever it matters. If you're on Cloudflare, go poke around your dashboard. If you're not, this is a good reason to look at it.

From AI operating systems and quick client closes to outbound wins and real-world automation impact - this week inside AIS+ showed what happens when builders stop waiting and start shipping. 🚀 Standout Wins of the Week 👉 @Latoya Robinson built her own AI Operating System in one weekend - 7 agents, 15 integrations, and a $1.2M+ pipeline in motion. 👉 @Michael Wacht closed an $8,500 AI project focused on voice, email, and workflow automation. 👉 Michael Elliott built and closed a $1,200 app live during a client call using Claude Code. 👉 @Mike Thomson turned a $60K ad-spend issue into a real-time monitoring system with alerts and auto-protection. 👉 Angel Benavides turned cold outreach into his first discovery call - then booked another the next day. 🎥 Super Win Spotlight | @Latoya Robinson Latoya joined AIS+ ready to commit - not just consume. In just a few months, she has: • Closed a $24,000 client engagement (3 months) • Built systems using Claude Code for real business use cases • Reduced hours of manual work into just a few hours of execution • Started building SaaS systems with real revenue potential Her biggest shift? Going from feeling stretched and overwhelmed → to operating with leverage and speed. Latoya’s journey is proof that when you commit fully and apply what you learn,results follow faster than expected. 🎥 Watch Latoya’s story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀