In “Stop Building AI Tools Backwards,” we discover how retrieval practice, process-focused teaching, and the EDGE framework can transform AI interfaces from skill-stealers into catalysts for collective learning—and why that shift matters more than ever.
Here’s What I Found Today
Riding the AI Wave: Why Marketing Pros Must Pivot or Perish
Originally spotted in the BoSacks newsletter, this post argues that AI’s leap into autonomous strategic planning will upend marketing roles in months, not decades—and offers three concrete steps to stay ahead.
Beyond Algorithms: Embracing the Human Touch in an AI-Driven Publishing Era
In a world awash with AI-generated content optimized for clicks, genuine human experiences—live readings, boutique print magazines, handwritten notes—shine brighter than ever. Discover why “depth over reach” is the new ROI, and learn three practical steps to balance automation with authenticity in your next publishing endeavor.
Architecting Belief Change: 5 Structural Strategies to Influence Your Network
Tired of facts falling on deaf ears? Discover how to map your audience’s mental “cathedral,” reinforce the right connections, and weave stories and rituals that turn passive readers into engaged believers. These five actionable steps will empower you—whether you’re a nonprofit, brand, or community leader—to reshape perspectives and build lasting conviction among friends, followers, or customers.
Seeing Is Believing: Visual-First Retrieval for Next-Gen RAG
Forget brittle OCR chains and garbled tables—this deep dive shows how treating every PDF page as an image unlocks true visual understanding. We’ll walk through ColPali’s patch-level embeddings, late-interaction search, and MUVERA fingerprinting to deliver both state-of-the-art accuracy and sub-50 ms query times. If you’re building RAG over invoices, financial reports, or technical manuals, this is the paradigm shift you’ve been waiting for.
When Phones Slept, Classrooms Woke
As a former kid who once pedaled my bike from dawn ’til dusk—scraping knees on forest stumps, building forts in fallen logs—I couldn’t help but cheer when a Harlem high school decided to lock away every screen from bell to bell. No more pouches to pry, no secret vibrations tugging at thumbs: just real laughter in the cafeteria, genuine boredom in gym class, and the thrill of looking up at the world around you.
When Bots Become Besties: Rewriting AI Narratives for a Collaborative Future
Ever noticed how your AI assistant sometimes feels more like a trusted colleague than a piece of code? In ‘Tales of Digital Minds,’ we dive into why naming our chatbots—and assigning them Big Five personalities—does more than spark curiosity; it reshapes our trust, creativity, and even our expectations of machine intelligence. Join me as we journey from Frankenstein’s monster to today’s ‘Sam,’ exploring how the stories we tell about AI will define the future we build together.
Daily Links: Tuesday, Jul 22nd, 2025
Hey there! I recently stumbled upon this fantastic guide titled “The Next Act,” which delves into the art of career change and professional reinvention. It’s packed with insights on discovering your skills and steering your own comeback. Perfect if you’re contemplating a career shift or looking to find work that truly matters. Give it a read for some inspiration!
Why Project Estimates Fail: Lessons from a Systems Thinker’s Lens
Why do our project estimates keep failing—no matter how hard we plan? The answer isn’t just poor judgment or bad luck. As Dave Stewart reveals, it’s because every project is a living system, overflowing with invisible tasks and feedback loops that most estimators never see. To succeed, we need to map the whole ecosystem—not just the tip of the iceberg we call ‘the work.’
Autonomy vs. Reliability: Why AI Agents Still Need a Human Touch
Despite the headlines promising a future of fully autonomous AI agents, the reality inside production systems tells a different story. Even as large language models become more capable, error rates in multi-step workflows and the spiraling costs of long conversations reveal a hard truth: autonomy alone isn’t enough for real-world reliability. The most effective AI agents today are not the ones replacing humans, but the ones designed to work alongside them—leveraging AI for complexity while relying on human oversight to guarantee safety, accuracy, and trust. As the 2025 hype grows, practitioners are discovering that keeping humans in the loop isn’t a weakness—it’s the key to making AI agents work where it matters most.