If you use Claude Code then I am pretty sure you know what is CLAUDE md Your CLAUDE md is set up right But your token bill is still huge CLAUDE md is not lazy loaded It gets sent on every single message, every session, whether you needed it or not So the fix isn't adding more rules to it It's making the rules you already have actually cheap and enforce I added just 3 lines to mine and output tokens dropped noticeably ╰┈➤When editing code, output ONLY the changed lines or the single modified block — never reprint the whole file. ╰┈➤No setup guides, no recaps of what you changed, no explanations unless I explicitly ask. ╰┈➤Keep responses tight. If one line answers it, give one line That's it. No 2000 token essay of "best practices." Just rules that remove waste on every reply Second thing I keep seeing People running Opus for everything, even one line fixes and simple questions Opus is for the hard stuff. Architecture calls, big refactors Sonnet handles almost all day to day coding at a fraction of the cost Haiku is fine for quick lookups and small edits Match the model to the task Your CLAUDE md handles the output side Model choice handles the input side Do both and the difference in your bill is not small What's one CLAUDE md rule that actually changed how Claude behaves for you?

now I am back with continue building with n8n again!! Claude + N8N =💪🏻 Been building something I think will help people here: An automation that lists one product across Shopify, WooCommerce, and Amazon at the same time — straight from a spreadsheet. The problem I kept seeing: sellers manually re-typing the same product into 3 different platforms, and prices/descriptions drifting out of sync between them. Here's the basic flow: 1. Add the product to a sheet 2. It validates the data automatically 3. It lists on all 3 platforms and retries if one fails Result: what used to be 3 manual listings is now 1 spreadsheet row. If you sell across multiple platforms and this would save you time, let me know — happy to share more details or answer questions 👇 Questions :- 1. any add-ons ? 2.what you are building??

Huge shoutout to the Top 5 Members of AI Automation Society for June! These are the people leading the way, sharing knowledge, and helping spread the AIS culture: 1️⃣ @Muskan Ahlawat 2️⃣ @Christian Rivadeneira 3️⃣ @Frank van Bokhorst 4️⃣ @Julius Waggoner 5️⃣ @Shihab Sakif And a special mention to @Nigel Vargas, who takes 6th and just missed the Top 5. We're rooting for you to break through in July! 👏 Keep contributing, sharing wins, and helping others grow! Our community gets better because of you. Let's keep building, keep learning, and keep spreading that AIS energy. 🚀 Cheers, Nate P.S., @Yash Chauhan is an AIS community manager, so his points don't count towards this ranking.

If you run more than one n8n instance, this one's for you. 👇 I got tired of juggling separate logins, digging through scattered execution logs, and never having one place to see what's actually broken. So I built AgeniusDesk, a command center that sits on top of the n8n you already run. Today I'm releasing the Community Edition, free and open source (MIT). It talks to any n8n over the public API, so there's nothing to change in your workflows. Run it with Docker in about two minutes. What it does: 🚀 One-click n8n deploy. Spin up a fresh self-hosted n8n in Docker right from the dashboard (name, port, admin login, done). The same flow also stands up Postgres, Redis, Qdrant, and Ollama. 🗂️ Multi-instance. Manage unlimited n8n instances from one screen and switch between them instantly. 🚨 Real-time error feed. Failures from every instance, grouped by workflow, node, and type, with one-click "ask AI to find the root cause." 💾 Import, export & backup. Pull workflows in from JSON (single or bulk), export any workflow, and back up everything (or just the active ones) to a single file you can restore later. Real portability and disaster recovery across instances. 🧪 Code Lab. A Monaco editor for n8n Code nodes with AI generation, a prompt builder, and one-click send-to-n8n. 🤖 Per-area AI models. Code Lab, error triage, and chat each get their own provider and model (OpenRouter, OpenAI, Anthropic, or local Ollama). Keys stay encrypted server-side and never touch the browser. 📊 Insights. Success rates, execution timelines, and busiest/slowest workflows per instance. 🔒 Built in already: account login, encrypted secrets, role-based access, and a security-hardening pass. It's free, self-hosted, and MIT licensed. No catch. Full walkthrough video is dropping on YouTube soon (I'll add the link below once it's up). If you run n8n, I'd genuinely love your feedback: what's missing, what's confusing, what would make this part of your daily stack. Drop a comment. 🙏

What I scraped: I connected the Firecrawl MCP server to Claude Code and scraped a remote job board for Enterprise Account Director roles (my own title) paying $173K+. Came back with 22 listings in a clean CSV; title, company, salary, location, and a direct link to each. Adobe, Cision, Yubico, Pendo all in there. Screenshot below. What surprised me: I didn't tell Claude Code which Firecrawl tool to use. I just described what I wanted in plain English and it picked the right one on its own; mapping the site first, then extracting structured data into columns. When one scraping approach stalled mid-run it caught it and self-corrected without me stepping in. Watching it run a couple agents at once on different tasks was the part that actually made me sit up. One use case idea: pointing this at the same job boards but for my Airbnb side; scraping comparable Lincoln Park short-term rental listings to pull nightly rates, amenities, and review counts into one sheet for pricing benchmarks. Could do the same for any client account I want to research fast. Whole thing only cost about 30 of my 500 free credits 😅 #AISChallenge