Alright, you asked for the breakdown. Here it is. Last week I built a system using Claude Computer Use that automatically researches my competitors every single morning. No manual clicking. No note-taking. Just a full competitive intel report in my inbox by 8 AM. I'll walk you through the exact setup so you can build your own. What You Need - Anthropic API key (Claude with computer use access) - A list of 5-10 competitor URLs - A simple Python script (I'll give you the structure below) - A scheduling tool (I use cron, but Windows Task Scheduler works too) The Architecture The system runs in 3 phases: Phase 1: Screenshot Collection Claude opens a headless browser. Navigates to each competitor URL. Takes full-page screenshots of: - Homepage / landing page - Pricing page - Any new blog posts or announcements It saves each screenshot with a timestamp. This matters because Phase 2 compares against last week's screenshots. Phase 2: Analysis This is where it gets interesting. Claude receives two images for each competitor. Last week's screenshot and this week's screenshot. Then it analyzes: - Messaging changes (did they update their headline or value prop?) - Pricing updates (new tiers, price changes, feature additions) - Positioning shifts (are they going upmarket? Pivoting to a new audience?) - New campaigns (banner ads, promo bars, new CTAs) - Feature launches (new product pages, updated feature lists) The prompt I use is specific. I tell Claude to write the analysis in my voice and flag anything that requires immediate action vs. things that are just worth monitoring. Phase 3: Report Generation Claude compiles everything into a structured report: - Executive summary (3 bullet points, what matters most this week) - Competitor-by-competitor breakdown - Action items ranked by urgency - Raw screenshots attached for reference The report gets emailed to me automatically. I wake up, skim it with coffee, and know exactly what my market is doing.

I've spent the last 8+ years running marketing for crypto and AI companies (Ctrl Wallet, Maya Protocol, SwapKit, The Graph, and others). Along the way I've tested probably 100+ tools. Most of them are noise. Here's what I actually use every day and why. I'm breaking this into categories so you can swap in alternatives where they make sense for your setup. 🧠 AI Content & Research Claude API (Anthropic) — This is the brain behind everything. I use it for content drafting, trend research, repurposing, and analysis. The key isn't just "using Claude" though — I built custom skills (structured prompt libraries) that encode my brand voice, platform rules, and quality standards so every output sounds like me, not like generic AI. If you're just typing prompts into ChatGPT and copy-pasting the output, you're doing it wrong. The skill layer is what makes AI content actually good. OpenAI API — I keep this as a backup and for comparison testing. Sometimes I'll generate the same piece with both Claude and GPT-4 and pick the better version. Having two models keeps you from getting locked into one style. 🎨 Image Generation Imagen API (Nanobanana 2 model) — All my post graphics, YouTube thumbnails, newsletter headers, and blog images are generated through this. I built a brand style guide into the prompt pipeline so every image comes out consistent: dark navy backgrounds, electric blue/green/orange accents, sharp geometric shapes. One command generates images sized correctly for every platform. No more paying a designer $50 per social graphic. 📝 Content Management & Operations Notion — I run three databases here: - Content Calendar: tracks every piece from idea → drafting → scheduled → published - Task Manager: prioritized by P0 (today) through P3 (backlog), synced with my 12-week plan - Lead CRM: tracks every prospect from first touch to closed deal Notion is free and flexible enough to be your entire operating system. I connect it to my other tools via API so content status updates automatically when I publish.