Systems and workflows that drive scalable growth—covering campaign engines, attribution models, CRO, and analytics.
AI doesn’t just see what’s on the slide—it reads the entire file. This post breaks down how hidden text, off-slide content, and workspace clutter still get parsed by machines, and what to do before exporting your next deck. A practical guide to operational hygiene in the age of machine visibility.
Over the weekend, I realized Maverick (my AI) and I were losing context mid-project because our conversations were too long. I’d assumed memory issues showed up randomly. Turns out, they show up at 100,000 tokens. Quantifiable. Preventable.
In this entry, I explore a repeat glitch in how AI responds when I upload images mid-conversation.
This log explores what happens when AI helps shape your content but accidentally erases your fingerprint in the process. I explore syntax patterns, semantic noise reduction, and how to keep your voice recognizable as you scale thought leadership through AI.
In this entry, I unpack a moment with Maverick (my AI assistant) that revealed a major difference between how humans and AI “read.” Spoiler: it’s not the same.
In this first entry of my “AI Fluency” series, I document how AI identifies users based on patterns, not assumptions.
Cinema isn’t just about what happens on the screen anymore. It’s about what happens after – on our timelines, in our reels, in our memes. Fans are consuming movies and then co-creating content ecosystems that extend the life of the film.