Start with a workflow, not a model
A useful AI project begins with a decision, an owner and a repeatable piece of work.
By Alex Vale · September 22, 2026
Big ideas. Working AI.
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.
Meet the monster
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.
- Strategy & scope: Choose a meaningful workflow and a measurable first release.
- Data & analytics: Connect the information, definitions and permissions behind a useful answer.
- Agents & applications: Build software that assists, explains and acts within clear boundaries.
- Delivery & adoption: Test the complete experience, deploy it and help the team own what comes next.
Field notes
A small pilot needs an owner
Assign responsibility before the pilot starts.
By Noor Stone · September 19, 2026
Compare models on the same work
Keep inputs and evaluation consistent when choosing a model.
By Noor Stone · September 13, 2026
Start a useful AI project brief
A one-page brief can expose the assumptions that matter.
By Noor Stone · September 11, 2026