The first part was bringing the eyes to $CIRC and now I'll make a thesis for it. Solana:8fQgfsRnRkKSeNUhevT7wp8mhNvMSJdLn1fJi4oVpump @CircuitLLM is positioning itself to become the infrastructure layer for the AI agent economy on @solana. What makes it interesting is that it isn't betting on a single product. It's connecting first-party blockchain data, an RPC aggregator, access to 300+ AI models, an open-source trading agent, and a distributed inference engine designed to run a 72B-parameter model across multiple machines. Each component serves a different need, but together they create a much bigger opportunity. The data layer gives agents access to real-time on-chain activity, wallet intelligence, and market signals. The model layer gives developers access to intelligence, while the SDK and MCP make those capabilities accessible to applications and agents. Its trading agent takes this further by separating strategic decisions from deterministic execution, keeping scanning, position monitoring, and stop-loss calculations in code rather than handing every action to an LLM. My real conviction is in how these pieces can feed each other. More useful data and better tooling can attract more developers and agents. More agent activity creates demand for APIs, inference, and compute. Through x402, services can be paid for programmatically in $CIRC, while GPU operators can earn a share of inference fees for contributing compute. If that demand grows, Circuit has the foundation for a flywheel connecting data consumption, AI services, operator incentives, and token utility. The distributed 72B engine adds another dimension: @CircuitLLM is not just aggregating access to third-party models; it's also building infrastructure to coordinate inference across separate machines. That is a harder engineering problem, and the long-term opportunity is to make AI compute a network that developers can access on demand rather than depend entirely on centralized providers. My bet is that $CIRC becomes more valuable as more of its infrastructure is used together. The important caveat is execution: if Circuit can turn its growing stack into infrastructure that developers and autonomous agents repeatedly rely on, it has a broader thesis than another model, trading bot, or Solana data dashboard. It is building toward an economy where agents access information, make decisions, use compute, and pay for services through one connected stack. 30k mc!.

The market often overlooks projects in their early stages. That's why I'm paying attention to @circuitllm https://t.co/FLjGNQnGvP $CIRC is steadily building, attracting committed holders, and growing without relying on constant hype. CA: 8fQgfsRnRkKSeNUhevT7wp8mhNvMSJdLn1fJi4oVpump