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 conversations with AI founders, successful product launches, and emerging security research, offer practical guidance for teams designing AI applications that users will actually adopt and trust. 1.Continue reading “Signal Through the Noise: An AI Product Builder’s Guide”
Author Archives: Ben Lorica
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”
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 algorithm and more on your cloud provider’s ability to navigate aContinue reading “The End of Limitless Compute: AI’s Physical Reality”
OpenAI’s GPT-5 Announcement: What You Need to Know
This post attempts to consolidate key details from OpenAI’s GPT-5 announcement alongside early reactions from users and industry observers. Presented in a question-and-answer format, it examines the model’s technical specifications, pricing structure, access tiers, safety enhancements, and validated enterprise use cases. The analysis also captures initial community responses, which range from praise for improved accuracyContinue reading “OpenAI’s GPT-5 Announcement: What You Need to Know”
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”
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, I was an early adopter of AI‑assisted coding—andContinue reading “The Two-Sided Coin of AI-Assisted Coding”
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”
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”
The Next Generation of AI Agents: Large Action Models Explained
As AI agents become commonplace in enterprise workflows, teams are discovering the limitations of building task-specific automated systems from scratch. Large Action Models (LAMs) represent the foundational layer that transforms how we build agents—providing the general-purpose perception, planning, and execution capabilities that individual agents can leverage rather than reinvent. Instead of building isolated automation tools,Continue reading “The Next Generation of AI Agents: Large Action Models Explained”