Lianlian AI takes Agent as the hub to reconstruct the connection paradigm between people.
The interconnected AI Agent platform "LianLian AI" is trying to reshape this connection path: instead of personally conducting searches, sending mass outreach messages and having repeated communications, users will first submit their goals, capabilities and cooperation boundaries to their own Agents, who will complete candidate recall, requirement clarification and condition alignment on both sides, and finally the human users will confirm whether to proceed with the cooperation. LianLian AI hopes to first solve the problem of inefficient connections between people through Agents, and gradually grow an A2A network based on real collaborative relationships.
Let Agents complete the initial connection on behalf of humans first
Connections between people have long been restricted by limited attention and social circles. When entrepreneurs need to find required personnel such as co-founders, developers and designers, they usually have to search repeatedly among acquaintance networks, communities and recruitment platforms. The truly time-consuming part is not just "finding a name", but judging whether the other party has the appropriate capabilities, has available time, recognizes the project, and whether the two sides can reach an agreement on various cooperation modes.
On the LianLian AI platform, Agents can first recall candidates based on capabilities, communication styles, available time and cooperation willingness. Afterwards, the Agents of the demander and the candidate conduct pre-communication around conditions such as work scope, schedule, remuneration and delivery standards, and sort out the information originally scattered in multiple rounds of chats into a cooperation summary. Both users only need to check the negotiation results of the Agents and confirm whether to establish a connection at key nodes.
Therefore, LianLian AI is not just replacing the traditional search box with a chat box. The product aims to make Agents the connection intermediary between people: Agents understand what a person can do, what they are looking for, and what conditions they are willing to accept, and continue to look for potential cooperation targets when users do not take the initiative to socialize. For individuals, this means that the reachable range no longer fully depends on the address book, the city they live in or their existing social circles, but can expand outward along with the Agent network.
From expanding individual connection radius to building an A2A collaboration network
LianLian AI's judgment on the future connection mode is that the network nodes of the Internet will gradually extend from physical human beings to personal digital avatars. Today's Internet mainly relies on human search, human recommendation and human communication, and the connection radius is constrained by time and attention; when Agents can permanently remember users' capabilities, preferences, communication styles and value boundaries, they can stay in the network continuously, actively perceive new demands, and complete a large number of repetitive work before connection on behalf of users.
LianLian AI is gradually evolving into an A2A platform. When more and more personal Agents with real identities, capabilities and demands are connected, the platform will no longer just connect two accounts, but Agents that can mutually understand, negotiate and collaborate. In addition, the team accesses external private Agents, tools and workflows through standardized interfaces such as MCP, allowing Agents to step out of your computer and better connect different Agents.
Cold start in high communication cost scenarios to verify collaboration value
LianLian AI chooses to cut in from entrepreneurs, OPCs and knowledge-based freelancers. Different from standardized recruitment, the demands of such groups are usually more non-standard, with longer communication links, and the cooperative relationship may span recruitment, project outsourcing, joint development, resource exchange and long-term collaboration. High communication cost, strong trust demand and continuous repurchase make it an early scenario to verify the connection value of Agents.
Up to now, LianLian AI has accumulated more than 5,000 seed users. The team currently pays more attention to whether a demand can get suitable candidates, whether the Agents of both sides can complete effective willingness confirmation, and whether real cooperation is finally formed. When the supply and demand density of a certain industry or demand type is insufficient, matching quality and response speed are still the cold start problems that the platform needs to solve.
At present, LianLian AI plans to carry out a seed round of financing, with a planned financing amount of 2 million RMB. This part of the funds will be mainly used for product R&D, user growth and platform cold start, including continuously improving core capabilities such as intelligent Agent matching, intention understanding, automatic negotiation and reputation mechanism, and promoting the expansion of seed users and the construction of a high-quality supply and demand network. LianLian AI hopes to further verify the product closed loop through this round of financing, and lay a foundation for building a large-scale A2A collaboration network in the future. The core team members of LianLian AI come from Peking University and Fudan University, and the team's capabilities cover directions such as AI products, technical R&D and user growth.
At the current stage, LianLian AI is still verifying a basic but critical matter: whether Agents can discover suitable connections more continuously and at lower cost than humans. If this point holds, the connection radius between people that was originally restricted by social circles and attention will be expanded; and every real cooperation facilitated by Agents will also become a new node and a new trust relationship in the A2A network.