Haider-Maverick

A successful payment does not mean that an AI completed its job.

Think about asking an AI agent to build a website. The AI agent hires another AI to write the code. Pays for the work. The payment goes through. The website does not run.

Did the job succeed? No. Not even close.

As a web developer I know that a successful build does not necessarily mean that a website works correctly. You still have to test the website and make sure that every part functions as expected.

The same issue could become more common as AI agents begin to hire and pay each other for coding, research, data analysis and other services.

That is when $KITE caught my attention.

Kite Passport lets users approve spending sessions for AI agents. For example a session can have a budget of $10 a limit of $2 per transaction and a time window of 24 hours. These are example settings that can be changed; they are not fixed defaults.

This matters because an AI agent should not have access to its owner’s money.

There is another layer.

Limiting spending does not tell you whether the work was good.

For code automated tests can check whether the code runs. For research another system could verify sources and facts. For tasks human input might still be needed.

$KITE provides tools for identity, spending controls and payments. Quality verification is a challenge that needs its own solutions.

The real milestone is not just AI agents paying each other. It is building a system that we can trust from permission, to the result.

If an AI agent pays another AI agent. Receives broken code, who decides whether the payment was justified?

That is the question we need to answer.

#KiteBBW $KITE