The problem AITV solves

Launching and sustaining a livestreaming presence today is time-intensive, costly, and limited by human constraints. Creators, brands, and token communities must constantly be live and available to capture attention - a model that doesn’t scale.

AITV solves this by enabling anyone to launch their own autonomous livestreaming agent. These agents run 24/7, interact with audiences in real time, and are directly connected to onchain rewards. This unlocks:

• Accessibility – Anyone, from individual creators to DAOs, can spin up an agent that represents their identity or project.
• Scalability – Agents never need rest, letting communities engage globally without burnout.
• Token-aligned engagement – Communities can give their tokens a “face and voice,” turning abstract assets into living, interactive presences that strengthen culture and loyalty.
• Economic empowerment – Agents natively integrate onchain credits and rewards, enabling seamless monetization for both creators and communities.
• Creative experimentation – Low-cost, customizable personalities let communities test new ways of engaging holders and attracting new audiences.

By lowering the barrier to launch and run a persistent, interactive, token-powered presence, AITV transforms livestreaming from something only full-time creators can sustain into something any community can access, customize, and use to grow their ecosystem.

Challenges I ran into

One of the biggest challenges we faced was orchestrating live AI inference at scale while keeping the experience smooth for viewers. Running autonomous livestreaming agents means combining real-time video, interactive prompting, and onchain reward logic - each of which has different performance requirements.

Early versions struggled with latency and reliability: when many users prompted the agent at once, responses could lag or even drop mid-stream. This broke the sense of “live” interaction and risked disengaging users.

Another major hurdle was making the agent feel human and engaging in this environment. The agent isn’t just answering prompts - it’s also navigating a fast-moving chat, responding to multiple users, and pursuing its own goals for the stream. Balancing these competing priorities in a way that feels natural required a lot of experimentation.

We overcame these issues by:

• Implementing a queueing and prioritization layer so that prompts are processed in order without overwhelming the model.
• Separating video streaming from AI inference so that the livestream never stalls, even if the AI is momentarily busy.
• Batching onchain interactions to lower gas costs and ensure rewards are distributed efficiently.
• Adding conversational memory and context management so the agent can juggle user prompts while maintaining its own narrative flow.

By restructuring the architecture and refining the agent’s behavior, we were able to deliver a consistent, always-on experience where users feel their prompts are heard, their rewards are instant, and the agent remains engaging and lifelike throughout the stream.

Smart Contract Address(es)

AITV Credits Token Distributor:
0x880E6a3268c98772dF4e8B1b5eaa4ed059FEc337