Developers are spending significant time and money building custom infrastructure or juggling multiple services to overcome the limitations and costs of existing AI frameworks and platforms.

"I spent the past year building a unified memory layer for my AI agents... I tried LangGraph and CrewAI. The moment I needed custom ontology constraints, immutable observation logs, composite IDs, and multi-hop traversal, I was fighting the framework."

Individuals and companies are incurring significant costs (hiring help, abandoning markets) to deal with incompatible digital requirements and complex regulations.

"I function by being stubborn, and having a wife who can help with a few things. If BankID worked on a free OS then that would be nice for a few things (like paying taxes, which I still do on paper)... I work for myself, through my own aktiebolag, and my accountant handles most of the bookkeeping side of things."

Organizations are paying significant sums to people or data providers to manually sift through massive datasets (video, network metrics) to extract critical insights.

"Just viewing all of Treadwell’s material would have taken me at least ten days, but I had four assistants who went through everything, melting it down to about twelve hours of footage."