Here's a simple sharing of the investment logic for various categories of AI Agent 'targets': 1) Individual AI: Strong user perception, vertical application scenarios, short product validation cycle, but limited growth potential. Investment must be based on the premise of experiencing the application. For example, no matter how much others boast about new strategy analysis individual AIs, it's not as convincing as actually trying it out; For example: $AIXBT $LUNA; 2) Frameworks and standards: High technical barriers, grand vision and goals, the degree of market adoption (developers) is crucial, and the growth potential is very high. Investment should be based on comprehensive examination of project technical quality, founder backgrounds, narrative logic, and application implementation, etc.; For example: $arc, $REI, $swarms, $GAME; 3) Launchpad platform: Complete tokenomics, strong ecosystem synergy, will generate positive flywheel effects #GateLive Space：连麦畅聊币圈热点！ .