Start with a workflow, not a model
A useful AI project begins with a decision, an owner and a repeatable piece of work.
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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.
Thoughtful takes on the decisions behind useful AI.
A useful AI project begins with a decision, an owner and a repeatable piece of work.
Read articleReliable answers depend on definitions, freshness and permissions as much as the interface.
Read articleSeparate task success, mistakes, time and cost before you build a leaderboard.
Read articleAssign responsibility before the pilot starts.
Read articleMake it possible to inspect the evidence behind an answer.
Read articleCompletion should be observable, and retries should have limits.
Read articleWhen automation cannot finish, preserve the context for a person.
Read articleThe interface and the backend must agree on who can do what.
Read articleDeployment, support and handoff turn an experiment into a service.
Read articleKeep inputs and evaluation consistent when choosing a model.
Read articleTokenMonster is an AI consulting company built around one idea: intelligence matters when people can use it. We connect 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. The work includes the less glamorous parts: permissions, evaluation, deployment and a clear handoff.
