In this episode of The Tech Trek, Amir chats with Rob Williams, co-founder and CTO at Read AI, about what it truly means to be an AI-native company. Rob shares how Read AI uses its own tools internally, how his small but mighty engineering team balances speed and structure, and the evolving role of AI in productivity workflows. Whether you're building AI products or trying to adopt them effectively, this conversation offers a unique peek behind the curtain of a startup navigating the future of work.

💡 Key Takeaways:

AI adoption without intentionality fails. Many companies are experimenting with AI tools, but without clear goals, adoption is often aimless.

“Tech debt” is outdated. Rob prefers specific discussions around scalability, readability, and maintenance over the vague term “tech debt.”

Internal AI usage drives efficiency. Read AI uses its own product to streamline workflows like onboarding, reducing repetitive knowledge transfer.

Small teams thrive on focus. Being a smaller company is an advantage when it comes to agility, focus, and avoiding bureaucracy—especially in AI.

⏱ Timestamped Highlights:

00:35 – What Read AI is and how it differs from big platform players.

02:19 – Why intentionality matters in successful AI adoption.

04:41 – How building AI-native products changes the cost/benefit mindset.

06:28 – Rob’s hot take on the term “tech debt” and why he avoids it.

09:45 – How they divide engineering time between R&D, product, and internal needs.

12:19 – Using AI to eliminate repetitive tasks like onboarding and documentation.

15:34 – How startup culture encourages practical AI tool adoption.

18:08 – Closing the gap between engineers and customer feedback.

20:45 – Competing with tech giants by focusing narrowly and moving efficiently.

🧠 Quote of the Episode:

“If we know something will serve our customers well for the next three to six months, we do it. Anything beyond that is just as likely to be wrong as it is right.” – Rob Williams

If you'd like to see Read AI in action, this link will take you to the transcript their AI produced of the episode: https://app.read.ai/analytics/meetings/01JPJXY1SFAXE509NJ4S5P0W5X?utm_source=Share_CopyLink