Kushal Prakash’s Post

“Build an AI app in 5 minutes” posts seem to be everywhere these days. While I think DIY, drag and drop tools are fantastic for enabling automation and small scale workflows, let’s not oversimplify what it takes to build real, scalable AI products. The true challenge of building AI products, especially for enterprises and consumers, lies in the layers beneath the surface: - Defining guardrails to ensure safe and effective usage. - Managing integrations with existing systems. - Ensuring data relevance, recency, and accuracy to avoid skewness or misinformation. - Handling output correctness and conducting thorough evaluations. For FastTrackr AI, building the 25-agent architecture was the easier part. What took real effort was the deep evaluations, latency improvements, and ensuring the product met our quality benchmarks before launch. For B2B applications, the complexity scales even further. You have to consider compliance policies, data security, governance, and maintaining detailed audit trails. What’s your take? Are the 5-minute AI apps a glimpse of the future, or are they just scratching the surface of what’s really possible? gAI ventures Amit Goel Vineet Mohan Pradhumn Vijayvargiya Amit Gupta