Craving a burger? In this AIBROS episode, Rohan & Nisaar put a custom ChatGPT agent to the test on Swiggy—then pit the experience against Zomato. We talk real ordering pain points (limited queries, clunky search), how an AI agent can add context-aware recommendations, our 1,000+ reviews buying rule, and a hilarious ₹178 Aloo Tikki twist. Plus: cart chaos (oats, Diet Coke, protein wafers?!) and a budget gourmet “burger glow-up” for ₹18. If you’re into AI agents, LLMs, and real-world automation, this one’s for you.
Timestamps
00:00 Intro: Can ChatGPT order the perfect burger on Swiggy?
00:04 Craving hits: Picking Swiggy vs Zomato
00:52 Why Swiggy search breaks for complex queries + coding a smarter agent
05:21 Review heuristics: Our 1,000+ ratings rule & avoiding context traps
10:04 Building the cart: oats, Diet Coke & protein wafers?!
11:43 Cloudflare roadblock; ₹178 Aloo Tikki shock; BigBasket/Zepto backup
12:32 Budget gourmet: ₹18 burger glow-up & final takeaways
If you enjoyed this, smash like, subscribe, and drop your wildest AI-ordering ideas for us to test next!
Tags (comma-separated)
AIBROS Podcast, Rohan, Nisaar, ChatGPT, GPT-4, GPT-4o, AI agents, agentic AI, autonomous agents, LLM, large language models, prompt engineering, AI workflows, coding tutorials, Python automation, Swiggy, Zomato, food delivery, India food tech, recommendation systems, reviews heuristic, 1000 reviews rule, McDonald’s Aloo Tikki, BigBasket, Zepto, Cloudflare block, ordering automation, app scraping, context aware search, retrieval augmented generation, RAG, vector search, ranking, user preferences, price sensitivity, delivery time optimization, Swiggy vs Zomato, burger cravings, gourmet burger, budget hack, ₹178 burger, AI in everyday life, tech podcast, AI podcast, machine learning, AI tools, real world AI demo
Hashtags
#AIBROS #ChatGPT #AIAgents #Swiggy #Zomato #FoodDelivery #India #LLM #AIPodcast #TechPodcast #MachineLearning #Automation #Coding
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