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Sunday planning ritual: how I use AI to set up the week in 20 minutes
Sunday is either a recovery day or a setup day. Depends on how you use it. Here's the 20-minute AI planning ritual I run every Sunday before the week starts. Step 1: Brain dump (5 min) Open a notes app or Claude. Type everything that's on your mind about the week. Projects, calls, loose ends, things you've been avoiding. Don't organize it. Just dump it. Step 2: Feed it to Claude (2 min) Paste the dump and say: "Organize this into: (1) must-do this week, (2) should-do if time, (3) delegate or drop. Be ruthless." Step 3: Look at the calendar (5 min) Ask Claude: "Here are my priorities and here are my open blocks. Give me a realistic day-by-day plan. Flag anything that looks overloaded." Step 4: Write the one thing (3 min) Ask: "If I could only accomplish one thing this week to move the needle most, what is it based on this context?" Step 5: Set the intention (5 min) Write it down. One sentence. What does a successful week look like? Keep it visible. Total: 20 minutes. You start Monday knowing exactly what matters instead of figuring it out mid-Tuesday. I used to spend Sunday dreading the week. Now I spend 20 minutes planning it. Huge difference in how the week actually goes. What does your Sunday planning look like right now? Drop it below.
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The AI tool that actually saved you the most time this week (Saturday share)
Not the flashiest tool. Not the one everyone's hyping on Twitter. The one that actually saved you real time this week. Could be: - A prompt you reused 5 times and it just worked - An automation you finally got running without breaking - A tool you almost wrote off but kept coming back to - Something boring but stupid effective I'll go first. This week: Whisper for transcription. Voice-to-text on a rambling 8-minute voice note. Pulled the key ideas, dropped them into Claude, had a usable draft in 4 minutes. Not glamorous. No viral demo. Just saved me 40 minutes I would have spent staring at a blank page. Your turn. What actually moved the needle this week? Drop the tool + what you used it for below. Real examples only, no hypotheticals.
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Friday automation drop: the 5-minute content repurposing workflow
Most people create one piece of content and stop there. Here's how to turn a single idea into 5 posts in under 5 minutes. Tool stack: Claude + any transcription app Step 1: Start with one core idea. Write it in one sentence. Example: "AI follow-up automation saved me 3 hours this week." Step 2: Paste that sentence into Claude with this prompt: "Turn this idea into 5 different social posts. Write one for LinkedIn (professional), one for Twitter/X (punchy, under 280 chars), one as a tip, one as a question to spark discussion, and one as a quick story. Keep my voice casual and direct. No buzzwords." Step 3: Pick the 2 best. Post one today, schedule one for later. That's it. Same idea, five angles, five chances to hit. I do this every Friday before the weekend. Takes me 5 minutes and fills the content calendar without overthinking it. Bonus: if you already made a video or voice note this week, drop it into Claude and ask it to extract 3 content ideas from what you said. You probably have more material than you think. What's one thing that happened in your business this week that could be a post? Drop it below and I'll show you how to turn it into 5.
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Claude Artifacts vs ChatGPT for code review
Stopped using ChatGPT for code review. Started using Claude Sonnet with artifacts. The difference is wild. ChatGPT gives you text. Claude gives you a live working preview you can copy and test immediately. Here's what changed: 1. Paste broken code 2. Claude fixes it AND shows you the working version in the artifact panel 3. Copy, test, done No more back and forth. No more "did I copy the right version?" I debugged a Python script in 3 minutes yesterday that would have taken 20 with ChatGPT. The artifact feature is the difference. It separates the explanation from the code. You see both at once. If you're still copying code out of chat bubbles, you're doing it the hard way. What's your current debugging workflow?
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AI Automation System - Setup, Model Allocation & Key Learnings
Original AI Mastermind pitch deck - an overview of the complete AI automation system. Slide 1: The Setup Two AI agents working in tandem: - CASE (Mac Mini, CTO/CMO): Content creation, LinkedIn outreach, social media automation, infrastructure - TARS (MacBook, COO/CRO): Operations, client pipeline, revenue tracking, meeting prep Shared data via git sync. Primary: MiniMax M2.5. Fallback: Sonnet 4.6. Slide 2: Feedback Loop Architecture Core concept: Data Collect > Analyze Patterns > Rewrite Strategy > Execute (loop). 7 active feedback loops auto-optimize outreach, content, engagement, and sales conversion. Slide 3: Daily Schedule Morning crons, afternoon engagement, evening content scheduling, overnight batch processing. Slide 4: Model Allocation Tiers - Premium (Opus): Strategic rewrites that control other crons - Standard (Sonnet): Human-facing tasks, DMs, judgment calls - Budget (Qwen/MiniMax): Mechanical tasks, templates, clicking buttons Slide 5: Before vs After Before: Manual everything, 0 pipeline, no systems. After: Automated outreach (20 connections/day), content pipeline, CRM tracking, automated follow-ups. Slide 6: Key Learnings - Sub-agents need explicit completion criteria - Ralph loops prevent context overflow - Browser profile isolation is critical - Model tier selection saves significant cost - Feedback loops require data logging from day one Slide 7: Full Tech Stack OpenClaw, Claude, MiniMax, Qwen 3.5, Facebook Graph API, Instagram API, Upload-Post, Calendly, Himalaya email, git sync, bash scripts. Slide deck available - reply if you want the link.
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