An AI agent could follow every spending rule and still waste your money.
That’s the question I think deserves more attention as agents start paying for digital services.
Kite Passport lets users approve a spending session with a total budget, a limit for each transaction and an expiry time. These controls help define how much an agent can spend and for how long.
But a budget alone cannot tell us whether a purchase was useful.
A research agent might pay for an article that repeats information it already found. It could buy a dataset that is outdated or too broad for the question.
For me, evaluating $KITE means looking at both parts: the controls around a payment and the value of what the agent receives.
I’d want to compare the final answer with the purchases behind it. Which expense filled a real gap? Which one could have been avoided?
Would you rather an agent use its full budget to improve an answer, or return early when the free information is enough?
I'm long as price is holding 80.7k after retesting the swing point twice. Hold 81k here, I’m looking for a rotation back into 83.8k–84.6k to test or sweep the marginal highs
If we just sweep the marginal highs or SFP’d them, I’ll be looking to re-short back into 79ks (market order), or if it could extend lower to 78k–76k