@AITECH outlines a very practical AI strategy that many builders within #DAOLabs ' #SocialMining framework already feel instinctively: growth happens in layers, not leaps.
The Agentic Stack provides a framework for such a platform and is organized on four layers: Assistive Agents provide immediate value with minimal configuration; Communicative Agents can foster interactions with other Assistive Agents; Collaborative Agents can help other Assistive Agents perform their tasks; and Autonomous Agents do not necessarily interact dynamically with the others, as they act by themselves. Knowledge Agents mine organizational memories for knowledge to make informed choices. Action agents execute automatically and Multi-Agent Systems that connect them, in adaptive networks.
#SolidusHub applies the same reasoning. Contributors start with low-risk, high-frequency tasks Assistive level inputs, such as sharing or translating. With increasing credibility, the range of more advanced roles is like Knowledge and Action Agents: spreading market information as an analyst, writing articles, or making decisions on governance. Only trusted contributors -those for whom long-term output has been demonstrated- rise to the level of Multi-Agent, leading teams and determining direction.
This model highlights that scale without structure equals collapse. Businesses don’t want maximum automation upfront; they need to build progressive trust and domain alignment. And, in the same way, Social Mining incentivizes consistent, layered participation, not viral moments.
The Agentic Stack isn't some utopian concept for tech architects, but, rather, an extant, lived structure in decentralized contributor systems. $AITECH’s framing makes it possible for others to see what Social Miners have know for a long
