Why it matters
As agents move from prototypes to production, token burn becomes a reliability and margin problem; teams need architectures that reduce thrash, not just cheaper models.
Tokenmaxxing read
Treat tokens as a budgeted resource: explore briefly, commit early to a plan, replay deterministically when possible, and instrument runs so you can compare cost vs outcomes per workflow.
Source takeaway
The authors argue rigid constraints can make agents loop; an explore/commit/measure pipeline plus deterministic replay can cut wasted tokens without killing autonomy.
