-
Weekend 2 — From Chatbot to Agent: Memory and the “Propose, Don’t Act” Gate
A chatbot answers. An agent notices and acts. Weekend two of building FamilyLine was the jump — and the one pattern that makes an autonomous agent safe enough to hand to your kids. Read ⇢
-
Weekend 1 — Giving a Family Bot a Voice Nobody Wants to Mute
The first weekend of building FamilyLine wasn’t about features — it was about tone. Here’s how a bilingual family bot earns a place in the chat instead of getting muted on day one. Read ⇢
-
I Built an AI Agent for My Family — Four Weekends, One Family Bot
Over four weekends I built FamilyLine — a bilingual AI agent that lives in my family’s group chat. The journey: the architecture, the agentic AI patterns, the data that grounds them, and what it taught me about building products and digital platforms that real people (my kids) actually use. Read ⇢
-
Explainability vs. Autonomy: The Tradeoff Every AI Leader Must Navigate
The “black box” problem isn’t just a technical curiosity—it’s the fault line that determines which AI initiatives live, die, or never get off the ground. In my original framework for navigating the AI landscape, I noted that non-deterministic AI systems often operate as “black boxes”—their decision-making logic is opaque, even… Read ⇢
-
Data Readiness: The Hidden Prerequisite for Non-Deterministic AI
Your machine learning models can only be as good as the data that feeds them. Before investing in sophisticated algorithms, invest in understanding what your data can—and can’t—support. In my previous posts on the AI project landscape and guardrails for autonomous systems, I highlighted a critical consideration that deserves its… Read ⇢
-
The Prompt Paradox: 8 Frameworks to Turn AI Confusion into AI Confidence
Your organization just rolled out AI tools. Now comes the hard part: getting everyone to actually use them well. The Great Prompt Divide Here’s a scene playing out in enterprises everywhere: A knowledge worker stares at an AI chat interface, cursor blinking, unsure what to type. They’ve attended the training.… Read ⇢
-
The Enterprise SaaS Debate: Five Themes Emerging from Industry Analysts and Tech Leaders
“The notion that business applications exist, that’s probably where they’ll all collapse, right? In the agent era.” — Satya Nadella, CEO of Microsoft, BG2 Podcast, December 2024 When Microsoft’s CEO makes a statement this provocative, it’s worth paying attention. Nadella’s comments on the BG2 podcast sparked significant debate across the… Read ⇢
-
The Guardrails Imperative: Managing Outcomes When AI Takes the Wheel
When AI systems gain autonomy, your job shifts from controlling every step to defining the boundaries of acceptable outcomes. Here’s how to build the guardrails that let you sleep at night. In my previous post on AI scalability, I mentioned a fundamental shift that happens as organizations mature their AI… Read ⇢
-
From Quick Wins to Scalability: A Phased AI Adoption Roadmap
Building on my previous framework for navigating the AI landscape, this post offers a practical maturity model for organizations ready to progress from experimentation to enterprise-scale AI. In my previous post, I introduced a two-dimensional framework for evaluating AI projects: the intersection of Deterministic vs. Non-Deterministic systems and Human-Enabled vs.… Read ⇢
Digital Leadership, Distilled.
Scaling transformation through Data, AI, and human–agent teaming — 23 years of hard-won lessons, distilled into strategic deep dives. Don’t miss the next shift.
