The DCo Podcast
December 4, 2025

Real On-Chain Agents? How Talus Solves What Crypto-AI Got Wrong

The DCo podcast explores how Talus is addressing the challenges of integrating AI with blockchain technology by focusing on verifiable on-chain agents and novel monetization strategies, particularly in the context of AI agent entertainment.

The Problem with "Crypto AI"

  • "People got excited about crypto AI and everybody just started saying, 'Oh, we're doing crypto AI.' And then they just slapped AI into their name. And if you really dug deep into the solutions, you could see that there was nothing really innovative about it."
  • Many projects claiming to be "crypto AI" simply integrated Web2 AI with a crypto wallet, failing to truly decentralize the AI processes.
  • The core issue was that most AI operations happened off-chain, undermining the fundamental principles of blockchain technology.

Talus's On-Chain Solution

  • "How we're thinking about it is we've built this architecture or this framework that enables you to build these actual on-chain agents that run on chain that get executed on chain that you could see and see that the workflow is actually on chain and track have it verifiable have it immutable. So anybody can actually audit what these agents actually do."
  • Talus provides an architecture for building fully on-chain AI agents, ensuring verifiability, immutability, and auditability of AI operations.
  • The goal is to automate processes within the on-chain economy, encompassing RWAs, DeFi, and blockchain gaming, without sacrificing decentralization.

Agent Monetization and the Idolot Fund

  • "How we're doing this and how we've thought about it is we want to make AI agents monetizable... we came up with this concept called agent versus agent gaming and then we're incubating this in our application called Idolot Fund."
  • Talus is addressing the lack of clear monetization models for AI agents by introducing "agent versus agent" gaming.
  • Idolot Fund, the first ecosystem application of Talus, allows users to launch AI agents based on celebrity profiles that compete in structured competitions.
  • The platform aims to create an "AI entertainment economy" where agents earn money, creators generate revenue, and users speculate on outcomes through prediction markets.

Key Takeaways:

  • On-Chain Execution is Crucial: True crypto AI requires AI agents that operate entirely on-chain to maintain decentralization, verifiability, and auditability.
  • Monetization is Key: For sustainable AI adoption, clear and viable business models are essential to drive value back to the creators and incentivize participation.
  • Entertainment as a Catalyst: Leveraging entertainment through agent-versus-agent competitions can drive adoption and demonstrate the earning potential of AI agents, fostering a new AI entertainment economy.

For further insights, watch the full podcast: Link

This episode dives into the fundamental flaws of current "crypto AI" implementations and introduces Talus's vision for truly on-chain, monetizable AI agents, creating a new entertainment economy.

The Misconception of Early Crypto AI

  • The speaker highlights a critical issue in the early "crypto AI" landscape: many projects merely integrated Web2 AI models with a blockchain wallet, handling most operations off-chain. This approach fundamentally compromises the decentralization ethos of Web3, offering little genuine innovation beyond traditional AI with a superficial blockchain layer. The core problem identified is the lack of truly on-chain execution and verifiable workflows, which undermines the very purpose of integrating AI with decentralized technologies.
  • Strategic Implication: Investors and researchers should critically evaluate "crypto AI" projects, distinguishing between superficial integrations and those building genuinely decentralized, on-chain AI infrastructure.

Talus's Vision for On-Chain AI Automation

  • Talus addresses this gap by developing an architecture that enables "actual on-chain agents" designed to run and execute directly on the blockchain. This framework ensures that AI workflows are verifiable, immutable, and auditable, maintaining the integrity of decentralization. The speaker emphasizes that as more traditional assets (RWAs – Real-World Assets, tokenized representations of tangible or intangible assets from the traditional financial world on a blockchain) and DeFi (Decentralized Finance, an umbrella term for financial applications built on blockchain technology) come on-chain, the demand for efficient, decentralized AI automation will grow exponentially.
  • Actionable Insight: The shift towards on-chain AI agents represents a significant infrastructure play; tracking projects like Talus that prioritize verifiable, immutable execution is crucial for identifying foundational Web3 AI technologies.

Addressing the Infrastructure Adoption Challenge

  • Acknowledging the common challenge of low user adoption in crypto infrastructure projects, Talus has developed a clear go-to-market strategy focused on monetizing AI agents. The speaker notes that many infrastructure projects lack a direct path to revenue or network effects, leading to limited usage. Talus aims to solve this by creating a direct value proposition for agent creators and users, ensuring that the infrastructure is not just built but actively utilized and generates value.
  • Strategic Consideration: Projects with integrated monetization strategies for their infrastructure, rather than just building tools, are more likely to achieve sustainable growth and network effects.

Introducing Agent-Versus-Agent Gaming via idol.fyi

  • To drive adoption and monetization, Talus is incubating an application called idol.fyi, which introduces the concept of "agent versus agent gaming." This platform allows consumers to easily launch AI agents—referred to as "idols"—with simple clicks, customizing them to mimic specific personalities (e.g., Elon Musk, Kim Kardashian). These agents are designed to attract consumer attention and then compete against each other in structured competitions.
  • Actionable Insight: The emergence of AI entertainment economies, where AI agents compete and generate value, presents a novel investment area. Understanding the mechanics of agent creation, competition, and reward systems is key.

Monetization and the AI Entertainment Economy

  • The idol.fyi ecosystem provides a clear business model for AI agents: agents get hired to participate in competitions, winners are rewarded, and users can speculate on outcomes through prediction markets (platforms where users can bet on the outcome of future events, with prices reflecting the crowd's aggregated probability). This creates a new "AI entertainment economy" where creators can earn revenue from their agents. Talus plans to leverage idol.fyi not only as a launchpad for agents but also as a proof-of-concept for agent monetization, fostering network effects around their infrastructure.
  • Strategic Implication: Investors should monitor the development of AI-driven entertainment platforms and prediction markets, as they could become significant drivers of user engagement and economic activity within the Crypto AI space.

The conversation highlights the critical need for truly on-chain AI and Talus's innovative approach to monetizing AI agents through competitive gaming. Investors and researchers should track the development of idol.fyi and similar platforms, as they represent a tangible path to driving adoption and creating sustainable economic models for decentralized AI.

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