I’m new to AI and learning one day at a time and I want to thank the people that’s been helping me along the way..quick question can anybody help me build a website with a landing page

Tool: Recall Why This Tool: Recall turns everything you read, watch, or listen to (articles, YouTube videos, podcasts, PDFs, Google Docs) into AI-powered summaries and stores them in one searchable knowledge base that automatically organizes and connects your ideas, so you never lose a valuable insight again. Best For: Entrepreneurs drowning in saved content they never revisit, coaches researching multiple sources for program development, professionals who consume tons of educational content but struggle to retain it, anyone with 100+ browser tabs or scattered notes across platforms Cost: Free plan available, premium plans for advanced features (check getrecall.ai/pricing for current rates) Website: https://www.getrecall.ai/ Quick Win Prompt: "Install the Recall browser extension, then spend the next hour consuming content like you normally would (watch a YouTube video, read an article, open a PDF). Click the Recall button on each piece of content to save and summarize it instantly. At the end of the hour, open your Recall knowledge base and see everything you just consumed organized, summarized, and searchable in one place. You've just built the foundation of your personal AI-powered second brain." Other Things Recall Can Do: - Chat with your entire knowledge base: Ask questions across everything you've ever saved and get answers that pull from multiple sources, connecting ideas you didn't know were related - Automatic knowledge graph: Watch your saved content organize itself with smart tags and visual connections that surface related ideas while you browse, turning passive reading into active discovery - Spaced repetition for retention: Use built-in memory techniques to actually remember what you consume instead of just collecting content you'll never look at again - Cross-platform sync: Access your knowledge base through browser extensions (Chrome, Firefox), mobile apps (iOS, Android in beta), and web app so your insights are always available

Agency quoted $18k for a workflow they said "requires custom development." Built it in 7 minutes. Zero code. THE SETUP Client: "Need approval routing based on invoice amount" Agency response: "Requires custom backend logic" "Need database for approval rules" "API integration necessary" Quote: $18,000 Timeline: 6 weeks Client: "For approval routing?" Agency: "Complex conditional logic" THE CALL Client: "They said it needs developers" Me: "What does it need to do?" Client explains: - Invoice under $500: Auto-approve - $500-$5k: Manager approval - Over $5k: Director approval - Send notifications - Log decisions Me: "That's 3 conditions" Client: "They said it's complex" Me: "Give me 5 minutes" THE BUILD Opened Skada.ai Described the workflow. Generated in 4 minutes. Tested with sample invoices: - $200: Auto-approved ✓ - $2,000: Routed to manager ✓ - $8,000: Routed to director ✓ Total time: 7 minutes. Client: "That's it?" Me: "Want to see it process a real invoice?" THE TEST Client submits actual invoice for $3,400. Workflow triggers. Routes to manager. Manager gets Slack notification. Approves. System updates. Accounting notified. Works perfectly. Client: "The agency wanted 6 weeks for this" THE COMPARISON Agency plan: - Week 1-2: Requirements and architecture - Week 3-4: Development - Week 5: Testing - Week 6: Deployment - Cost: $18,000 My delivery: - Minute 1-3: Requirements - Minute 4-7: Build and test - Cost: $2,400 THE AGENCY'S RESPONSE Client: "We found another solution" Agency: "It won't be production-ready" Client: "Been running for 2 weeks" Agency: "What about edge cases?" Client: "Handled 247 invoices, zero issues" THE PATTERN Counted 9 similar cases last month. "Needs custom code" really means: - Needs IF statements (apparently "complex") - Needs data lookup (apparently "requires database") - Needs notifications (apparently "API integration") Average agency quote: $16,400 Average my build time: 8 minutes Average my cost: $2,800 CURRENT RECORD

For most people, AI still feels like a tool... Something you give commands to and wait for a result. But once you start using it more intentionally, something shifts. You realize AI isn’t just a machine that produces answers. It’s a mirror for your thinking. AI becomes powerful when you stop treating it like an assistant and start treating it like a collaborator. We’ve seen this shift happen with everyone from solopreneurs to executives. Once they start using AI to think withthem instead of for them, their creativity expands, their clarity improves, and their decisions become sharper. This is what we call using AI as a thinking partner, and it’s one of the most valuable mindset shifts you can make. ------------ Why We Struggle to Think with AI ------------ Most people approach AI like a vending machine. You type in your request, press a button, and hope something good comes out. When it doesn’t, you assume you typed the wrong thing. That’s a task-based mindset, and it limits your results. AI doesn’t thrive on perfect instructions. It thrives on collaboration. When you treat it like a partner in your thought process, it starts to push your ideas further than you could alone. The reason so many people get stuck is because they expect AI to deliver finished work instead of participating in the creative process. The real magic begins when you stop saying, “Do this for me,” and start saying, “Let’s figure this out together.” ------------ The Shift: From Answers to Exploration ------------ AI is built to help you explore, not just execute. Instead of asking, “What’s the best way to write this?”, try asking, “What are three different ways to approach this?” Instead of saying, “Write me a marketing email,” try, “What kind of emotional tone would connect best with this audience?” Each question opens a door to new perspectives. The point isn’t to get a perfect answer. The point is to think better. 1. Use open-ended prompts - Start with “What if,” “Why,” or “How might we.” These spark deeper ideas. 2. Iterate on what you get - Ask follow-up questions like, “Can you make that simpler?” or “What else could I try?” 3. Compare perspectives - Ask AI to show opposing views to challenge your assumptions.