Theoriq New Token Offering Rules Changes, TGE Release from 25% to 100%, opening market cap of 75 million to break even, based on the current enthusiasm, it is almost mandatory to participate.

The connection between ordinary tokens and projects may only be symbolic. 📌 However, $thq is different; the entire system cannot bypass the token, and the protocol has already overlaid three layers of leverage!

If you can understand @TheoriqAI's upcoming layout, you will realize why $THQ is bound to take off 👇🧵

This year, AI Agents are a very popular sector, with Newton, which recently launched on Binance, being one example.

But currently, most Agents operate in isolation, meaning they are useful, but each command or call is a one-time event. They can help you complete on-chain LP formation, swaps, and cross-chain interactions, but lack context, do not collaborate, and cannot learn from each other outside of tasks.

@TheoriqAI's Agents aim to evolve continuously like Chatgpt; the more tasks they run, the richer the context they collect, the stronger their agency capabilities become, and the more complete the subsequent collaboration network.

This capability is based on the Alpha Protocol, which defines the standards and boundaries for agents.

Registration and validation are on-chain, communication uses unified protocol primitives, and tasks are dynamically formed through clusters (Swarms), evaluated after execution, and recorded. The protocol does not replace humans for micromanagement but sets the boundaries and permissions for behavior.

🔸 Within this framework, $THQ is the first threshold for agents to access the Alpha Protocol.

To enter the system and call protocol resources, agents must stake tokens, making access not cost-free. It also serves as a coordinating medium: all agent executions, calls, and authorizations must be completed on-chain through $THQ.

AlphaSwarm is the implementation of this protocol in specific scenarios; it is a modular multi-agent collaborative network where different agents perform their respective roles—some gather contextual information, some analyze market parameters, some execute trades or fund management, and there are agents specifically for evaluating results.

The deep role of $THQ lies in enabling this collaboration to be orderly and controllable. Agents wishing to obtain higher call frequency, control more assets, and be assigned more tasks by the system must be backed by αTHQ.

αTHQ is a time-weighted credential generated by token holders locking their tokens; the longer and the more tokens are locked, the greater the weight entrusted to the agent.

This authorization is not free; if agents perform excellently, the granters will receive rewards, and the agents' rankings and calling permissions will also improve.

However, if an agent makes a mistake, the αTHQ binding it will be subject to punitive destruction, with the risk shared by the agent and the granter.

This means that $THQ is not just a tool for staking yields, but a risk mapping mechanism:

Agents must put up collateral to enter the system, avoiding the proliferation of low-quality nodes.

Granters are responsible for their choices, using their αTHQ to guarantee the agent's behavior.

Through slashing, strong on-chain constraints are formed, allowing quality agents to naturally receive more resources.

Theoriq has turned tokens into genuine behavior guarantees; who supports which agent and who combines which strategies will directly affect the security of the token itself.

🔸 Surrounding the design of $THQ, an additional flywheel incentive structure has been layered:

> Alpha Protocol is the infrastructure; all agents need to stake $THQ to operate.

> AlphaSwarm is the application layer, constantly consuming and scheduling agents, driving more $THQ to be locked.

> The more agents are used, the greater the fees and emissions at the protocol layer, flowing back to stakers.

> Developers can gain authorizations through higher performance, leading DeFi protocols to attain deeper liquidity, while token projects can access a dynamic ops layer without personnel costs.

This design links network scale and token demand; the more it is used, the deeper the $THQ lock-up, the stronger the protocol's security, forming a self-reinforcing loop.

Unlike traditional DeFi staking models, there is no mindless yield here.

🔸 The locking period for αTHQ is a maximum of 24 months, serving as a time-weighted commitment mechanism.

The agent ecosystem indeed needs emissions to start in its early stages, but once there are real agent tasks and third-party access, $THQ will generate long-term demand due to the genuine needs of agent operations, rather than relying on short-term liquidity.

Thus, in Theoriq's architecture, tokens from the very beginning are not ancillary but are system variables fully coupled with agent execution, permission allocation, and network security:

> Without $THQ, agents cannot access the protocol.

> Without αTHQ, agents cannot obtain execution permissions.

> Without delegation and slashing, agent behavior cannot be effectively screened.

> Without fee backflows, the agent ecosystem cannot sustain itself.

If this model is successful, any future project can use AlphaSwarm as an operational layer, automatically managing liquidity, optimizing vaults, and allocating incentives.

Developers can launch their own agent modules, gaining αTHQ authorization through performance and reputation.

Ordinary users can also choose high-quality agents through delegation, entrusting their assets to more reliable execution nodes.

The system itself will not remain static but will continuously evolve as tasks and participants increase.

Theoriq does not treat tokens as voting credentials or short-term rewards but makes them a unified measure of access, resources, and reputation in the on-chain agent economy. How far the agent network can go depends on the liquidity and binding methods of $THQ.