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The Burhaan Pattel PodcastAuthor: Burhaan Pattel
Welcome to the Burhaan Pattel Podcast, hosted by freelancer turned agency owner, entrepreneur and digital marketing expert Burhaan Pattel. When it comes to building a business online, Burhaan had tried and tested almost every advertising, landing page, email marketing, CRM and help desk tools there are. On this podcast, youll find weekly stories about his entrepreneurial journey, online marketing tips, advertising strategies and tactics, solutions and advice on how to be a better creator, marketer, and problem solver. Burhaans philosophy is simple, do good on others and good will happen for you. Do your best always. Language: en Genres: Business, Entrepreneurship, Marketing Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Vibe Coding Reality Test Building with AI vs Reality
Saturday, 28 June, 2025
AI tools promise we can "vibe code" our way to functional applications without traditional programming skills. But does this actually work in practice? I decided to put this theory to the test with a real-world project - building a sports betting prediction tool with a friend using AI-powered development platforms.Key TakeawaysAI tools are powerful but not autonomous - Human oversight and expertise remain essentialQuestion AI's agreeability - Use prompts that encourage critical thinking rather than agreementFocus on AI's strengths - UI/UX, rapid prototyping, and information synthesisEmbrace real-time content - Capture authentic experiences rather than trying to create perfect evergreen contentTest ruthlessly - Don't assume AI output works just because it looks sophisticatedThe Reality CheckWe're spending an average of $160/month on AI tools, but many aren't delivering on their promises yet. The key is understanding what AI can and cannot do reliably, then using it strategically for appropriate tasks while maintaining realistic expectations.The future of AI development tools is promising, but we're still in the early stages. Success requires combining AI capabilities with human judgment, domain expertise, and rigorous testing of actual results rather than impressive-looking output.Support the show
