Simply share the investment thinking logic of various 'targets' of AI Agent.
1) Single AI: strong user perception, vertical application scenarios, short product validation cycle, but limited ceiling. Investment must be based on the premise of experience application, for example, some new strategies for analyzing single AI appear. No matter how much others boast, it is not as effective as trying it out once; for example: $AIXBT $LUNA ; 2) Frameworks and standards: The technical threshold is relatively high, the vision and goals are grand, and the market (developers) adoption level is crucial, and the ceiling is very high. Investment should be based on comprehensive investigation of project technology, founder background, narrative logic, and application landing, such as: $arc, $REI, $swarms, $GAME; 3) Launchpad Platform: Tokenomics
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Naimur367
· 01-09 06:52
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Simply share the investment thinking logic of various 'targets' of AI Agent.
1) Single AI: strong user perception, vertical application scenarios, short product validation cycle, but limited ceiling. Investment must be based on the premise of experience application, for example, some new strategies for analyzing single AI appear. No matter how much others boast, it is not as effective as trying it out once; for example: $AIXBT $LUNA ;
2) Frameworks and standards: The technical threshold is relatively high, the vision and goals are grand, and the market (developers) adoption level is crucial, and the ceiling is very high. Investment should be based on comprehensive investigation of project technology, founder background, narrative logic, and application landing, such as: $arc, $REI, $swarms, $GAME;
3) Launchpad Platform: Tokenomics