Perhaps I did something wrong or misunderstood what this cli was capable of, but I followed the video in classrooms to set it up. It shows that it is connected, but when I ask it to build out things like a pipeline, a workflow, or a calendar it tells me its limited to what it can do. Anyone have suggestions here?

Here's why your AI designs all look the same. Without a reference library, Claude is guessing. Not just at the page layout. At the buttons, the cards, the effects. So I finally paid for 21st.dev ($6/month only) and I'm doing the boring part: 1. Going through the component catalog and saving what I actually like. 2. Folders for it. Badges. Filters. Pricing pages. Cards. Testimonial structures. 3. Claude Code gets the CLI, so it pulls from those folders when it designs. 4. Impeccable and Taste, the two GitHub repos for spotting AI slop, rebuilt as my own commands. Before Claude shows me a design it screenshots it on mobile and desktop, criticizes it and fixes it. Plus godly.design and Awwwards for inspiration, and a rule set: no Inter font, no gradients. Now when it designs, it's pulling from things I already chose instead of inventing a button and hoping. Six bucks a month. Everybody building with these tools should go through the exercise. What are you using to keep your AI builds from looking AI built?

Not sure what the capabilities of AI and automations are, but is it possible to automate the entire Instagram DM process? 1. First messages: Automatically send a first message when someone follows the account or engages with the content, such as viewing a story, liking a post, or commenting. 2. Follow-ups: Automatically follow up with prospects and share relevant case studies, articles, or other resources based on their exact situation, so the conversation naturally picks up where it left off rather than feeling generic or repetitive. 3. Conversation handling: Have AI handle the entire conversation from the first message through qualification, objection handling, and follow-ups, all the way until the prospect books a call. 4. Account safety: Can all of this be done in a way that stays within Instagram’s rules and minimizes the risk of the account being restricted or banned? I’m not sure what’s currently possible with AI and Instagram automations, so I’d love to understand what can realistically be automated, what still needs a human involved, and what tools would be required to set this up.

Hello. 😊 ⠀ First of all, thank you very much for creating this community where people can learn about AI automation and for sharing so much valuable information and knowledge. 🙏✨ ⠀ I am currently building a small company where AI is intended to work not merely as a chatbot, but more like an actual “employee.” 🤖🏢 ⠀ After reading the posts and ideas about AI automation shared in this community, I wanted to ask for advice from people with real experience, so I decided to post these questions. 😊 ⠀ ━━━━━━━━━━━━━━━━━━━━ 🏢 Our Current System ━━━━━━━━━━━━━━━━━━━━ ⠀ Our current setup uses n8n as the central workflow and operational orchestration system, OpenAI API for AI processing, Google Drive for storing instructions, knowledge, and deliverables, ChatGPT for planning and review, and Antigravity for browser and GUI operations that cannot be handled reliably through APIs alone. ⚙️🧠📁🌐 ⠀ We also own around 6,500 n8n workflow templates, so instead of building everything from scratch, we are trying to reuse existing templates wherever possible while developing the system. 🧩✨ ⠀ At the moment, some parts of the process are already working in testing. ⠀ However, our most important challenge now is to build a system in which one AI employee can reliably complete a real business task from beginning to end. 🔴🤖 ⠀ ━━━━━━━━━━━━━━━━━━━━ 🔄 The Workflow We Are Trying to Build ━━━━━━━━━━━━━━━━━━━━ ⠀ The ideal workflow is: ⠀ Automatically receive a job → read the latest company knowledge and instructions → perform the actual work → run a quality check → automatically correct the output if it fails the quality check → save the completed deliverable to Google Drive → mark the job as complete → automatically take the next job ⠀ That is the workflow we are aiming for. 🔄📁✅ ⠀ I would like human involvement to happen only when a task genuinely requires a human. ⠀ For example, login, approval, payment, identity verification, CAPTCHA, or other actions that may be difficult to reverse. 👤🔐💳⚠️

Since this community is about actually shipping AI systems, here's the exact stack I use for service business clients: 🔧 THE STACK: n8n + GHL + Claude Sonnet LAYER 1: INBOUND CAPTURE Webhook triggers whenever a lead comes in (form, ad, call, DM) → n8n receives data → creates/updates contact in GHL → Claude generates a personalised first message based on lead source LAYER 2: INSTANT RESPONSE (60-second rule) GHL workflow sends personalised SMS + email within 60 seconds → Claude drafts the message using lead context (name, source, enquiry) → Response rate jumps 3-4x vs generic templates LAYER 3: QUALIFICATION n8n + Claude handles the conversation → Asks 2-3 qualifying questions → Scores lead (hot/warm/cold) based on answers → Hot leads get calendar link sent automatically → Warm leads enter nurture sequence in GHL LAYER 4: APPOINTMENT BOOKING GHL calendar integration + confirmation sequence → Auto-confirms, reminds at 24h and 1h → No-shows get an immediate re-booking sequence LAYER 5: REACTIVATION (the most overlooked layer) Every unbooked lead from the past 90 days gets re-engaged → Claude personalises based on their previous conversation → This alone recovers 15-25% of leads that originally went cold The whole system runs without a human touching it. Happy to answer questions on any layer — what part of this stack does your community struggle with most?