Start with a workflow, not a model
Alex Vale ·
A useful AI project begins with a decision, an owner and a repeatable piece of work.
Big ideas. Working AI.
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.


TokenMonster 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.
Alex Vale ·
A useful AI project begins with a decision, an owner and a repeatable piece of work.
Noor Stone ·
Reliable answers depend on definitions, freshness and permissions as much as the interface.
Alex Vale ·
Separate task success, mistakes, time and cost before you build a leaderboard.
Noor Stone ·
Assign responsibility before the pilot starts.
Alex Vale ·
Make it possible to inspect the evidence behind an answer.
Noor Stone ·
Completion should be observable, and retries should have limits.
Alex Vale ·
When automation cannot finish, preserve the context for a person.
Noor Stone ·
The interface and the backend must agree on who can do what.
Alex Vale ·
Deployment, support and handoff turn an experiment into a service.
Noor Stone ·
Keep inputs and evaluation consistent when choosing a model.