strategy
Start with a workflow, not a model
A useful AI project begins with a decision, an owner and a repeatable piece of work.
TokenMonster InsightsTOKENMONSTER INSIGHTS
Big ideas.
Working AI.
Practical field notes for teams turning data and business workflows into useful AI applications.
Read the field notes
OUR APPROACH
Make useful intelligence part of the work.
01 / Find the right problemStart with a workflow, an owner, and a measurable decision.
02 / Make data usableBuild dependable definitions, evidence, and access boundaries.
03 / Put it into practiceDeliver an owned service with a clear path for improvement.
FIELD NOTES
What we are learning in the work.
data
Your data is part of the product
Reliable answers depend on definitions, freshness and permissions as much as the interface.
evaluation
What to measure before you launch an agent
Separate task success, mistakes, time and cost before you build a leaderboard.
strategy
A small pilot needs an owner
Assign responsibility before the pilot starts.
analytics
Source links are a product feature
Make it possible to inspect the evidence behind an answer.
agents
Give agents a clear stopping point
Completion should be observable, and retries should have limits.
delivery
Make the fallback useful
When automation cannot finish, preserve the context for a person.
data
Permissions belong in the workflow
The interface and the backend must agree on who can do what.
delivery
A demo is the beginning of delivery
Deployment, support and handoff turn an experiment into a service.
evaluation
Compare models on the same work
Keep inputs and evaluation consistent when choosing a model.