The Evolution of Interfaces
Every decade brings a new way to interact with computers. Each shift didn't just change the interface - it changed what was possible.
CLI
Command Line Interface. Type commands. Get output.
GUI
Graphical User Interface. Point and click. See results.
UX
User Experience. Design for humans. Optimize for delight.
AX
Agent Experience. Delegate to agents. Orchestrate outcomes.
What Makes AX Different
The shift from UX to AX isn't incremental. It's a fundamental change in the relationship between human and computer.
- From Interaction -> Delegation
- From Single-thread -> Parallel execution
- From Step-by-step -> Goal-oriented
- From Reading every step -> Reviewing outcomes
In UX, you use software. In AX, you direct agents to get what you want.
The Three Pillars of AX
Autonomy
The capability to act
An agent reasons, plans, executes, and recovers from errors. It doesn't wait for instructions at every step. It pursues goals, tries different approaches when blocked, and completes work without hand-holding. This is the fundamental shift: from "you do, AI helps" to "you direct, AI does."
Artifacts
The proof of work
Managers don't read every message their team sends. They review deliverables - reports, analyses, updates. Artifacts are how you review what agents produce. But they're not just proof of AI work. The collaboration of the future involves humans and AI, humans and humans, agents and agents. Artifacts are the shared language - native to sharing, native to collaboration, native to the internet.
Adaptive
The interface that meets you where you are
60-70% of humans are visual learners. Others understand better through reading. Some prefer to speak. Current software doesn't adapt - voice input fails constantly, search is broken in countless apps, you have to meet the software where it is. AX means on-demand UI that renders what you need. Speak, type, read, watch. The interface shapes itself to the human, not the other way around.
Why Now
Three things converged to make AX possible:
- Cost collapse - Intelligence dropped 280x in 18 months. $0.07 per million tokens.
- Model capability - Claude Opus 4.5 broke 80% on SWE-bench. GPT-4.5, Gemini 2.5 Pro. Models that can actually execute.
- Infrastructure maturity - MCP, A2A protocols, agent frameworks. The plumbing finally exists.
The models are ready. The economics are ready. What was missing was the interface that puts it all together.
Rush and the AX Frontier
Rush is the first consumer platform built for Agent Experience.
Not a chatbot with a Mac wrapper. Not a copilot that suggests the next line. An orchestration layer that lets you spin up agents, assign them tasks, coordinate their work, and synthesize their outputs.
The layer between you and everything else.