50 First Dates with AI: Why Your AI Forgets Everything and What to Do About It
Every conversation with most AI systems is a first date. Here's the three-layer memory model that actually compounds — from Scott Scoble's scobleclaw experience.
Blog
Articles on AI, leadership, cultivation, and the human side of technology.
Stop Strip-Mining Your Engineers: The Cultivation Alternative to Throughput Obsession
Gallup 2026: 80% of the global workforce is disengaged. The $438B cost isn't a tool problem; it's a people problem. Here's the cultivation alternative.
Soil Health for Teams: A Diagnostic Framework for What's Actually Depleted
Tall stalks, ground cover, nitrogen fixers, pollinators, deep roots. The agricultural metaphor isn't poetic; it's diagnostic. Here's how to read the soil under your team.
From QA to Principal: What 30 Years of Software Teaches You About Humans
I started writing code in 1985. I started getting paid for it in 1996. The tech stacks changed; the human patterns didn't. Here's what three decades teaches you when you pay attention to the people, not just the code.
Spec-First Development Is the Only Audit Surface for AI-Generated Code
Every software project has specifications, and every specification eventually lies. The spec-code gap is a provenance problem — and Speckl closes it by making the spec compile into code, so the gap never opens.
My Open Source Projects: Speckl, ScobleClaw, and Beyond the Prompt
A roundup of Scott Scoble's open-source projects — Speckl (spec compiler with provenance), ScobleClaw (agentic engineering framework), and Beyond the Prompt (workshop on building with AI agents).
We're Going to Formally Verify SQLite
SQLite runs on every smartphone, every browser, every embedded system. Its core state machines have never been formally verified. Following the Kafka proof, we're tackling the most deployed database in history with SpeckDL and Z3 bounded model checking.
Your AI Has Amnesia: Why Memory Architecture Is the Hardest Problem in Agentic Systems
The anterograde amnesia metaphor for AI memory architecture. Three-layer memory model for agentic systems from Scott Scoble's scobleclaw experience.
You're Already in the Agentic Wars
Meta has Hatch. Google has Remy. Everyone is building agents. Whose capability compounds?
What Does AI Brain Fry Really Mean?
Gallup says 80% of the workforce is disengaged. The heaviest AI users are burning out fastest. The fix isn't training - it's structural.
The Surveillance Dividend Is a Lie
Every company running AI adoption is making an implicit bargain: data for tools. The companies extracting the most surveillance are hemorrhaging their best talent.
80% of Your Team Is Disengaged. It's Not Their Fault.
Gallup says 80% of the global workforce is disengaged. The $100B+ engagement industry has failed for 20 years. The fix isn't perks or surveys; it's structural.
The Developer Experience Shift; Why Tooling Alone Won't Save You
Companies will spend $60B+ on developer tools in 2026. But the real DevEx crisis isn't tooling — it's autonomy, mastery, and belonging. As code production becomes commoditized, the human dimensions of engineering become the only competitive advantage that matters.
The Token Anxiety Trap; Why AI Agents Aren't Liberating Us (Yet)
Your agent swarm runs 24/7 and you're more anxious than ever. Stanford's 2026 AI Index shows a 20% drop in junior dev employment since 2024. The agent revolution promised freedom — instead it gave us token anxiety and a new kind of burnout.
Three Questions That Changed How I Mentor
The simple mentoring framework that actually gets used - three questions that unlock real growth.
Three Signs Your Team Is Being Strip-Mined
The mindset shift that separates thriving teams from burned-out ones - cultivation over extraction.
The Soil Beneath The Code
A three-layer framework for understanding what makes engineering organizations healthy - or not.