Tagged: situated-practice
- The Extended Frontier: Why AI Capability Is Predictable When You Look at the Work
Daniel Griffin
The jagged frontier of AI capability isn't random. It's predictable from the practices, artifacts, and feedback loops that constitute actual work. The frontier is smooth where work is extended. It's jagged where work has been stripped to an isolated task.
March 24, 2026
- The Extended Frontier: Repairability
Daniel Griffin
Verification catches the error. Repairability determines whether you can do anything about it. They're different properties of the work, and repairability is itself an extension—one that can be designed in or absent.
March 24, 2026
- The Extended Frontier: What Else Changes
Daniel Griffin
Productivity and quality are one outcome among many. When AI enters a practice, skill formation, craft, pace, accountability, and repairability all shift. The handoff analytic is what makes these dimensions visible.
March 24, 2026