Last week, I obtained the testing qualification for the internal testing version of PlanX and had a few days of in-depth experience. Then I flipped through his technical documentation and found that it was not quite what I had anticipated. @PlanX_DEX It is not just another simple DEX brushing tool, but more like a customized on chain execution infrastructure for retail investors. Let's talk about my feelings after these few days of in-depth testing: Tested highlights: -AI driven execution agent: PlanX attempts to use AI to understand transaction intentions. You set the strategy logic, which is responsible for underlying addressing and optimal path execution. This' machine to machine 'execution power fills the technological gap between retail investors and institutional AI models, and to some extent improves the accuracy of on chain operations. -The rate logic of shared benefits: The platform maintains zero opening fees and zero loss closing fees, and only dynamically shares profits when orders are confirmed. Although there is a precedent for "fee free" in the market, PlanX's logic is to clear friction and resistance for high-frequency AI agents - not to profit from a single opening, but to use technology to assist users in making profits and then distribute them. -High performance risk control background: The founding team has backgrounds such as SpaceX, which is reflected in the product's transparency in settlement and non custodial security. Assets are always controlled by users and verifiable on the execution logic chain, which is crucial for large traders. Advanced observation is required: Cognitive threshold: Compared to "one click Swap", the AI strategy configuration provided by PlanX is more suitable for advanced players who have a certain trading foundation and pursue execution efficiency. Ecological growth period: As an aggregation execution layer, its upper limit depends on the depth of access to underlying liquidity. At present, the internal testing performance is stable, and we look forward to the pressure resistance performance in extreme market conditions in the future. Personal summary: PlanX attempts to encapsulate fragmented assets and complex on chain interactions into efficient tools using AI. At present, the project is still in the internal testing period, and this track narrative based on the "execution layer" is worth the continuous attention of Web3 players who pursue efficiency. If you are interested, you can follow my link to register an account and experience it: https://www. (planx.io)/ /reg? Code=OQLB Invitation Code: OQLB