In Week 4 of the GHN AI Fluency Lab, Mike Jones shifted from building to reading a live product, walking the group through the architecture behind Distills.app and surfacing every decision AI is doing under the hood. The session explored how JSON files can replace vector databases for smaller datasets, using keyword-scored retrieval to extract and structure personal career narratives in a way that is simpler to manage and easier to own.

Week 3 of the GHN AI Fluency Lab brought the room current on what is actually moving in AI right now, then connected it directly to how professionals build and evaluate AI in their own work. Mike Jones walked through the frameworks that define how teams should automate, augment, and delegate to AI, emphasizing that critical thinking and discernment remain essential as agent autonomy and system integration create new risks around accountability and data privacy.

In this session, Cassie Shea walks members through a four-part choreography for navigating career transition from the inside out: Desire, Deserve, Decide, and Delegate. Rather than starting with tactics, she starts with the question most people skip: who do you need to become at your next level?

In Week 2 of the GHN AI Fluency Lab, Mike Jones moves your AI work out of the chat window and onto your own machine — so everything you build is stored locally, owned by you, and ready to build on.

In Week 1 of the GHN AI Fluency Lab, Mike Jones introduces the one prompting technique that has remained constant through every iteration of AI: outlining your requirements, context, and intent before every conversation.

90% of senior roles are filled by someone who knew someone before the job was ever posted. In this session, Dennis Ivanov reveals the five vectors that determine your executive visibility and the exact protocol to shift from applicant to invited candidate.