Subscribe • Previous Issues The Enterprise Search Reality Check Before the AI hype cycle exploded with ChatGPT in late 2022, I was focused on a less glamorous, but equally important shift: the resurgence of enterprise search. Neural retrieval and vector embeddings finally looked practical. After the release of ChatGPT, an assumption among some AI teams was thatContinue reading “A pragmatic guide to enterprise search that works”
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Robotics Is Becoming AI’s Ultimate Testing Ground
Subscribe • Previous Issues Foundation Models in Robotics: From Bespoke Machines to Generalist Brains I’ve been reading a great deal about modern manufacturing, an industry where robotics has been a central figure for decades. For all their success in the structured environment of a factory, these robots have struggled to break out of their cages and intoContinue reading “Robotics Is Becoming AI’s Ultimate Testing Ground”
The “AI Doom Loop” is here
Subscribe • Previous Issues The Great Hollowing-Out: AI and the Junior Role Crisis I’m coming across more articles about the looming impact of AI on jobs, and many paint a particularly dire picture for recent college graduates and young professionals. The data, unfortunately, reinforces this narrative. For the first time in over 45 years of recorded data,Continue reading “The “AI Doom Loop” is here”
AI Consumer Insights from the Big Three Models
Subscribe • Previous Issues Why AI Benchmarks Don’t Predict Consumer Success: The Gemini Paradox As someone who works with AI, my toolkit is rarely limited to a single provider. I regularly switch between models from Google (Gemini), OpenAI (GPT-X), Anthropic (Claude), and Grok. I also work with increasingly capable open-weight models from Alibaba (Qwen), DeepSeek, and MoonshotContinue reading “AI Consumer Insights from the Big Three Models”
The missing piece for autonomous AI agents
Subscribe • Previous Issues Context is King: Long Live Graph-Based Reasoning Just over a year ago, we examined an emerging set of techniques known as GraphRAG. The concept was to enhance retrieval-augmented generation by integrating knowledge graphs, using their structured nature to provide richer, more nuanced context than standard vector search could offer. In that initial analysis,Continue reading “The missing piece for autonomous AI agents”
The data flywheel effect in AI model improvement
Subscribe • Previous Issues How Leaders Are Using RL to Build a Competitive AI Advantage I have long been fascinated by reinforcement learning (RL), but have always viewed it as complex and beyond the reach of most enterprise AI teams. That perception began to shift slightly earlier this year after a conversation with Travis Addair, co-founder ofContinue reading “The data flywheel effect in AI model improvement”
12 hard-won AI product lessons
Subscribe • Previous Issues Signal Through the Noise: An AI Product Builder’s Guide As AI capabilities rapidly advance, the challenge for product teams has shifted from “what can we build?” to “what should we build?” The following insights, drawn from recent presentations and conversations with AI founders, successful product launches, and emerging security research, offer practical guidanceContinue reading “12 hard-won AI product lessons”
AI’s Design Constraints You Can’t Abstract Away
Subscribe • Previous Issues The End of Limitless Compute: AI’s Physical Reality For developers, compute has long been an abstraction—a limitless resource summoned with an API call. That illusion is now shattering against hard physical realities. The voracious appetite of AI means the success of your next application may depend less on the elegance of your algorithmContinue reading “AI’s Design Constraints You Can’t Abstract Away”
Rogue AI Agents & Productivity Paradoxes
Subscribe • Previous Issues The Two-Sided Coin of AI-Assisted Coding SoftBank’s recent declaration that the era of human programmers is ending caught my attention, especially the audacious estimate that one thousand AI agents would be needed to replicate the capabilities of a single human developer. As readers of this newsletter and listeners of my podcast will attest,Continue reading “Rogue AI Agents & Productivity Paradoxes”
New Report: The Architectural Patterns of Financial AI
At Bankwell Bank, a new employee named Sarah works around the clock. She responds to loan applicants via email and SMS in under three minutes, gathers missing documents, and hands a perfectly structured file to her human colleagues. She has re-activated roughly half of the bank’s otherwise lost applicants and saved loan officers 90% ofContinue reading “New Report: The Architectural Patterns of Financial AI”