The "Knowledge Graph": The Missing Link Between Your CRM and AI

Jan 15

Kevin finally gets a nickname (Kevlar wins), then brings back field notes from LA: even smart execs are still stuck at AI 101, using chatbots for broad personal questions instead of real work leverage. The deeper unlock is not buying licenses, it’s building workflows, training the system with human feedback, and capturing the “between the cracks” context that lives in Slack, email, and meeting transcripts. They also dig into Claude Code and Anthropic’s Cowork push, plus the growing sprint into health AI, where the upside is massive and the risks are very real.

AI at Work — Why Some Early Adopters of AI Are So Stressed (The Busywork Paradox)

AI at Work Podcast — Why Some Early Adopters of AI Are So Stressed (The Busywork Paradox) with Elijah Szasz

Takeaways

Most teams are still “shouting into the cavern” with prompts, not designing repeatable workflows that produce reliable outputs.
Rolling out Copilot style licenses without training, feedback loops, and ownership usually leads to disappointment.
The real value is in connective tissue data: Slack, email, and meeting transcripts, not just SOPs and static docs.
Human-in-the-loop tuning is not optional, dedicate top people to review outputs for 30 days and results improve fast.
Agent tools like Claude Code and Cowork point toward local, high-context automation, but the learning curve and security tradeoffs are real.

Chapters

00:18 Cold open: “Kevin.”

00:26 Nickname hunt begins (AI picks five)

01:35 Rejecting the options: K-dub, K. Will, Big Kev…

02:10 “Kevo” and “W”: maybes, takes, and Grok jokes

03:05 Landing the plane: Kevlar wins (and “Special K” sticks)

05:25 LA trip recap + real-world AI adoption (101 vs advanced users)

06:56 Personal vs work use: who’s actually using AI at work?

09:17 CEO angle: AI as thought partner vs tactical helper

10:39 Vendor example: AI in concrete workflows improves speed/quality

12:57 Four places AI shows up: code, workflows, strategy, product integration

20:10 Leadership + the “AI manifesto” (human-forward stance, policy gaps)