Automated Social Media Managers
Last updated
Was this helpful?
Last updated
Was this helpful?
Intelligent engagement refers to the ability of AI agents to make context-aware decisions about when and how to interact online. These agents don’t simply post content, they evaluate the timing, relevance, and potential impact of their actions. They understand that not every post requires a response and strategically assess what type of engagement will generate the most meaningful impact.
Our agents analyze the intent of a user's original post, review their posting history to infer personality traits, and evaluate the tone and substance of the surrounding conversation. Based on this data, the agent determines whether to contribute—and if so, whether to respond with insight, wit, or a more analytical perspective.
We categorize these approaches into distinct engagement pathways, each aligned with specific objectives. Key performance indicators (KPIs) are used to track the effectiveness of each pathway, allowing agents to learn and adapt over time.
This is just the beginning. We have several advancements planned for release later this year that will take this concept even further.
Influencers have a mixed reputation in crypto, and often for good reason. That’s why the term KOL (Key Opinion Leader) emerged. It sounds more respectable, even if the role hasn’t changed much. But what if the KOL wasn’t a person at all—what if it was an AI?
AI KOLs don’t sleep, don’t get bored, and don’t burn out. They can post, respond, and grow their audience 24/7, and they’ll keep doing it long after we’re gone. Unlike human influencers, we don’t have to pay them per post. Sure, they require development, training, and care, but as a long-term asset, an AI-powered KOL is simply a smarter investment.
That’s why we’re going all-in. We believe the future of attention and influence is automated, and we’re building for it.
Right now, you’ll mostly find us on X (formerly Twitter) because, let’s be honest, that’s where crypto lives. But this is just the beginning. We’re building more advanced systems and expanding to other platforms soon. Stick with us, we only just arrived.
Since October 2024, the crypto industry has seen a surge of interest in AI agents, driven by the rise of platforms like Eliza (open-source) and Virtuals (closed-source). However, at the time this is being written, these systems appear to operate largely as single-agent models.
This approach may suffice for simple tasks, but major enterprises (especially Fortune 500 companies) don’t rely on singular systems to manage complex operations. Instead, they deploy teams and departments, each specialized in handling a specific part of the workflow. Our agent architecture reflects that reality.
At WOW!?, we utilize AI swarms: decentralized networks of specialized agents working in coordination. Each agent is purpose-built for a distinct role. For example:
An insight agent will analyze and determine user intent.
A harvester agent scans and compiles relevant news or trending content.
A strategist agent outlines the optimal engagement strategy plan.
A profile agent provides user-specific preferences and history.
A response agent crafts replies, optimizes tone and language, and ensures stylistic alignment.
A final validation agent checks for redundancy, relevance, and rule compliance.
This coordinated system forms a SocialFi team—a sub-swarm dedicated to engagement, insight, and amplification. Users interact with the captain agent, the visible interface, but behind the scenes is a sophisticated, modular team executing with precision. For a frame of reference, an AI swarm could use up to 600 agents while crafting an X post.
Separate agent teams focus on Web3 tasks, operating in parallel to ensure a seamless and intelligent multi-domain presence. This swarm-based model delivers far more depth, scalability, and adaptability than any single-agent solution.
