Summary
A practitioner discussion on how products like Cursor, Harvey, or Gavel actually implement agents—what the system looks like behind the UI when long-running loops, tools, and context management get real.
Why it matters
Agent UX is where token spend becomes product design: retries, latency, and tool failure modes all show up to the user. Understanding the implementation patterns helps teams ship agents that feel reliable without being wasteful.
Tokenmaxxing angle
Tokenmaxxing isn't just "call the model more"—it's reducing wasted cycles. The best agent implementations spend tokens where it matters, and cut everything else via caching, shorter contexts, and better stopping rules.
Source takeaway
Good for translating the "agent" buzzword into concrete components—planner/runner structure, tool contracts, observability, and the guardrails that keep autonomous workflows sane.