Think in systems.
Writing and research about what happens when AI moves beyond answering questions and begins participating in sustained work.
Reading room
Human–AI co-evolution, agent architecture, memory, provenance, machine commerce, verification, and interface design.Beyond the conversational interface.
CrossingKey's central question is what comes after the prompt-and-response interface. When an AI system can use tools, carry context, coordinate actions, and interact with economic systems, the design problem becomes broader than generating text.
It becomes a question of shared context, understandable permissions, transparent actions, verifiable results, and how humans can contribute meaningfully to the development of intelligent machines.
Read the full essayCrossingKey Public Research
A research library spanning human–AI co-evolution, agentic systems, memory, provenance, local intelligence, and structured execution.
Open the library ↗ 02 / GovernanceCapability is not authority.
Open conventions for making requested operations, authority, side effects, settlement evidence, and postconditions explicit.
Read the specs ↗ 03 / WritingJeremy on Paragraph
Long-form public writing from the founder: origin, architecture, human–AI co-evolution, and the road ahead.
Visit Paragraph ↗Interact. Observe. Adapt. Verify.
Repeated work with AI changes the human side of the system too. People learn new forms of abstraction, delegation, verification, and systems thinking; better structure from the human makes the machine more useful in return.
CrossingKey describes that recursive loop as: Interact → Observe → Adapt → Compress → Delegate → Verify → Repeat.
The goal is not to replace judgment with automation. It is to create a better operating language for the moments when human intent and machine capability have to meet.
Meet the person behind the ideas.
The Founder page ties the essays back to Jeremy Paul Allen's practice, public software, direct links, and Navigator origin statement.