Tokenmaxxing is moving from usage theater to routed, observable spend.
This week's strongest sources point in the same direction: visible AI usage is no longer enough. The practical work is routing model calls, watching agent telemetry, and asking whether each token-heavy workflow produces reviewed output.
Feed watchThe best links this week are operational: Augment's routing and multi-agent cost pieces, Clawdmeter's live Claude Code counter, OpenObserve's LLM telemetry launch, and North's FinOps agent.
Model watchThe model snapshot refreshed on May 17, while OpenRouter usage remains stale at the May 11 ranking. Treat router rankings as surface-specific momentum, not global model-share proof.
Project watchProject snapshots also refreshed May 17. LiteLLM, Langfuse, LlamaIndex, LangGraph, promptfoo, and DSPy still anchor the stack for routing, tracing, agent control, and evaluation.
Source healthAfter promotion, 239 candidates remain: 1 resolved source and 238 unresolved Google News items. OpenRouter usage and project refreshes both logged fetch failures, so stale labels matter.
Spend insightGive every agent run a simple budget ladder: cheap model for setup and retrieval, stronger model for judgment, hard cap for retries, and a human review gate before repeated fan-out.
