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.
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Latest field notes
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Start with a workflow, not a model
A useful AI project begins with a decision, an owner and a repeatable piece of work.
What to measure before you launch an agent
Separate task success, mistakes, time and cost before you build a leaderboard.
Give agents a clear stopping point
Completion should be observable, and retries should have limits.
Design the review step
Human review needs an interface and a decision, not just a checkbox.