TokenMonsterWhat to measure before you launch an agent
Separate task success, mistakes, time and cost before you build a leaderboard.
TokenMonster Insights
We turn complicated data and everyday workflows into useful AI systems. Explore practical field notes on strategy, analytics, agents and the work of getting them into production.
From the team
Separate task success, mistakes, time and cost before you build a leaderboard.
Completion should be observable, and retries should have limits.
Keep inputs and evaluation consistent when choosing a model.
Meet the monster
TokenMonster connects data foundations, analytics and application engineering to help teams move from a promising experiment to a service they understand and can operate.
We start with a workflow, define what a good result looks like, and build against that standard—including permissions, evaluation, deployment and a clear handoff.
Choose a meaningful workflow and a measurable first release.
Connect the information, definitions and permissions behind a useful answer.
Build software that assists, explains and acts within clear boundaries.
Test the complete experience, deploy it and help the team own what comes next.