How to Replace a $300K Competitive Intel Team with $30 and 4 Hours

www.gtmaipodcast.com www.gtmaiacademy.com www.aibusinessnetwork.ai

For more From our Guest Scott Ewalt: https://www.cardinalelement.com/

Or his Linkedin: https://www.linkedin.com/in/scottewalt/

Most competitive intel sits on shelves collecting dust while your competitors ship faster.

Your team spends weeks building battle cards. By the time they reach your reps, your competitor has shifted messaging. You find out three deals later when someone mentions it in a loss review. Your head of sales asks why competitive enablement is always behind. You don’t have a good answer.

Scott Ewalt just demonstrated building a competitive intelligence engine from scratch in 4 hours. Zero Python experience. No developer hire. Just Claude Code and a clear outcome: turn scattered competitive signals into queryable intelligence.

The result: 91 podcast episodes transcribed, where he uses our own podcast as the source, stored in a vector database, with a custom web UI that surfaces strategic insights competitors broadcast publicly but you’ve never synthesized.

Guest: Scott Ewalt - Former product, marketing, and CX operator who’s spent his career finding “unfair advantages” through technology. Not a developer. Never wrote production code. Didn’t open a terminal before Q4 2025.

The Demo: Building a competitive intelligence system that:

• Transcribes and stores 91 podcast episodes (81.2 hours of content)

• Creates a queryable vector database with zero hallucinations

• Builds a custom web interface for team queries

• Returns specific quotes with episode citations and timestamps