We're drowning in tools. As AI makes it trivial to build software for extremely narrow problems, we risk creating a tool zoo that demands more attention than it saves.
The Tool Zoo Problem
Professionals are already overwhelmed by vendor choices and productivity tools competing for mindshare. We simply don't have the bandwidth or time to train on dozens of bespoke apps that each solve a tiny slice of work.
Artificially splintering AI into narrow, single-purpose apps is inefficient and unnecessary.
A Better Model: One-to-Many Problem Solving
A better model is one-to-many problem solving: most "tools" should really be prompts, specs, and workflows that spin up solutions through a single, effective AI harness.
When it's easy to build an app for every problem—and you have 50 similar problems—creating, maintaining, and training teams on 50 apps isn't scalable.
Maintaining one model-agnostic harness (to avoid lock-in) that can generate those 50 solutions on-demand is.
That's the direction I'm building toward.
Originally posted on LinkedIn on January 14, 2026.