In this episode of the Technocracy Podcast, Ajay Prakash and Loong Wang are joined by Kerman Kohli to explore the gritty realities of building with AI. From vibe coding disasters to data engineering struggles, they dive into what it really takes to be a modern AI engineer.

Kerman shares his journey building a personal AI scheduling assistant—from breaking Google Calendar’s API to creating his own time-slot library and natural language date parser. This episode unpacks why building real AI tools isn’t as glamorous as it looks.

They also discuss:

- Why everyone might need to learn coding

- The myth of AI replacing SaaS

- How commoditized outputs unlock creativity

- The rise of personal software

-The unglamorous truth behind APIs, dates, and infrastructure

- Why most AI demos break in the real world

- And how the future belongs to those who know how to think, not just code.

Whether you're a founder, engineer, or AI enthusiast—this one’s packed with brutally honest takes, practical advice, and future-forward insights.

Check out Ajay’s Stuff:

EntryLevel: https://entrylevel.net

Website: https://ajays.quest

Check out Loong’s Stuff:

QDX: https://www.qdx.co/

Automera: https://automeratx.com/

00:00 Introduction to AI and Coding

00:49 Exploring Image AI and Its Impact

02:11 The Evolution of Copywriting with AI

03:49 The Future of AI-Generated Content

04:41 Building Generative 3D Worlds

05:44 Personal AI Tutors and Skill Development

06:36 The Importance of Systematic Thinking in AI

11:20 Challenges in Data Engineering with AI

17:44 Developing Personal Software Solutions

20:11 The Journey of Building an AI-Powered Calendar App

31:10 The Value of Becoming a Software Engineer

32:02 Critical Thinking in Software Engineering

32:41 Building and Expressing Ideas Through Code

34:19 Navigating AI and Software Development

35:04 Creating Tools for AI Integration

39:19 Challenges in Date and Time Programming

45:03 The Future of AI and Software Development

52:18 Final Thoughts on AI and Personal Growth

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