How CTOs Use AI

Neel Jain
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How CTOs Use AI features candid conversations with engineering leaders at growth-stage SaaS companies about how AI is really landing on their teams. Each episode digs into what's actually working, what's not, and how these leaders are making decisions in real time — without the polish of a keynote stage. Expect real numbers, real mistakes, and real judgment calls, not hype. New episodes regularly. Subscribe if you're building software and want to know what's actually happening one level below the headlines.

Episodes

  1. 6h ago

    How 8 Figure CEOs Use AI

    AI is already reshaping how CTOs build software, but the biggest wins are not where most teams expect. Rajiv Jain and AJ reveal where productivity jumps by 30% to 150%, why new builds are getting faster while legacy code still creates friction, and how the real bottleneck is shifting from writing code to judging its quality. Rajiv Jain, founder of Thinksys, has spent 14 years scaling a 500-person engineering company that supports software development, QA, DevOps, and security. AJ, founder of Pulso People and a software engineer with 20+ years of experience, brings the operator's view from the staffing and delivery side. Together they break down how AI is changing the software development lifecycle from the inside out. You'll discover: Why AI is delivering the strongest gains on greenfield development, QA automation, and maintenance of test scriptsHow teams are using story points, Jira tickets, and token budgets to measure real ROI instead of AI hypeWhy guardrails matter more in 2026 as unrestricted AI spend gives way to disciplined usage and proven returnHow agentic AI is starting to handle manual QA by reading Jira tickets, running tests, and logging bugs automaticallyWhy the hardest new challenge is testing non-deterministic, LLM-powered applicationsThe everyday tools both leaders actually use, from Claude workflows and Chrome extensions to Granola for meeting notes The episode also exposes a new management problem: when AI makes it easy to add code, bloated applications and unreviewed outputs become real risks. Rajiv and AJ explain why engineering teams now need to get better at saying no, enforcing quality gates, and training people to verify AI-generated work instead of blindly trusting it. If you're leading engineers, managing AI budgets, or trying to figure out where AI creates measurable leverage versus hidden cost, this conversation gives you the practical lens you need. Essential listening for CTOs, founders, engineering leaders, and anyone trying to turn AI from a buzzword into a durable productivity advantage.

  • 1 Episode

About

How CTOs Use AI features candid conversations with engineering leaders at growth-stage SaaS companies about how AI is really landing on their teams. Each episode digs into what's actually working, what's not, and how these leaders are making decisions in real time — without the polish of a keynote stage. Expect real numbers, real mistakes, and real judgment calls, not hype. New episodes regularly. Subscribe if you're building software and want to know what's actually happening one level below the headlines.

Information

  • Creator
    Neel Jain
  • Years Active
    2026
  • Episodes
    1
  • Rating
    Clean
  • Copyright
    © 2026 Neel Jain