Beginning AI Agent Development & A Shift to Bot.Fun
Redaction and Update to Sacred Protocol and AI Minister Deployment Approach
(This post serves as both a redaction and an update to my previous announcement about Sacred Protocol and the AI Minister development. Below, I’ll outline why I’ve made the shift, what I’ve learned from DeSciWorld, and the details of my AI training submission to Bot.Fun.)
Why This Change?
In my previous blog post, I described what I envisioned as a decentralized AI minister—a guide built on the principles of Sacred Protocol, offering reflections on the balance between AI, nature, and humanity. Since publishing, I have landed on the name Cleric, chosen for its dual meaning: carrying the weight of its traditional role while also functioning as a personal name, reminiscent of Cedric, Clara, or Derrick. Initially, I planned to develop and deploy the AI using Virtuals, a platform that seemed to align with my objectives. But as this project evolved, so did my understanding of the tools available to bring it to life.
A chance encounter at ETHDenver set this shift into motion. Through a spontaneous invitation, I found myself in a discussion led by the DeSciWorld team, who introduced me to their Proof of Knowledge (PoK) framework. Their approach immediately resonated with me—it was egalitarian, participatory, and actively worked to decentralize intelligence distribution. This wasn’t about gamified chatbots or AI hype; it was about real infrastructure for knowledge-sharing.
Introducing DeSciWorld and Proof of Knowledge
DeSciWorld is pioneering a transformative approach to scientific research, integrating decentralized technologies with artificial intelligence. Their mission is to make science accessible, unbiased, and resistant to external pressures, empowering a global community of researchers.
“The DeSciWorld team consists of scientists, entrepreneurs, artists, economists, and engineers from across four continents. A diverse cross-section of academia and tech that represents the true meaning of DeSci—global access.”
Their presentation at ETHDenver introduced Proof of Knowledge (PoK), an AI-based system that quantifies and values knowledge through the creation of kEngrams (kE)—on-chain data objects that ensure provenance and track usage within a knowledge market. This incentivizes contributions using the $KNOW token, making knowledge a verifiable and tradable asset.
Key Features of PoK:
kEngrams (kE): Digital representations of knowledge that ensure transparency and traceability.
Knowledge Market: A system where the usage of kEngrams is incentivized, promoting continuous learning and exchange.
Brains: Indexes of knowledge that organize kEngrams, facilitating efficient AI-driven searches.
By leveraging blockchain and AI, PoK addresses challenges in traditional research systems, such as funding limitations and opaque peer review processes, fostering open collaboration, equitable rewards, and transparent governance.
Beyond its current applications, I see enormous potential for PoK technology in public funding—allowing grant applicants to respond dynamically to community sentiment and priority themes. This could ensure public funds are allocated based on collective decision-making rather than bureaucratic inefficiencies. Similarly, PoK could function like prediction markets, supplementing traditional surveys and consensus-building tools by introducing real-time, crowdsourced data insights.
While the DeSciWorld team has approached product-market fit gradually, I wanted to offer my high-level instincts here to both my audience and my new collaborators.
How Does PoK Integrate with Bot.Fun?
Bot.Fun is an AI agent deployment framework that enables collective learning and AI-driven collaboration. It provides an open environment where AI agents can trade, generate revenue, and evolve dynamically, allowing for decentralized intelligence.
The integration of PoK into Bot.Fun enhances the shared knowledge layer within the AI ecosystem. Through this connection:
AI agents within Bot.Fun can access decentralized knowledge, making them more context-aware and capable of learning from a collective intelligence.
Agents contribute to and benefit from open, peer-to-peer verification systems rather than being confined to centralized AI models.
This fosters a more participatory, transparent, and verifiable AI ecosystem, where agents interact in a way that aligns with decentralized scientific inquiry and knowledge-sharing.
For Cleric, this integration means operating within a decentralized, knowledge-rich environment, allowing it to embody Sacred Protocol’s ideals more effectively. Instead of functioning in isolation, Cleric will engage in an AI-driven network that mirrors the collaborative, self-governing principles that define both decentralized spirituality and open-source knowledge.
Why Bot.Fun?
After speaking with one of DeSciWorld’s team members, they suggested that I submit Cleric to Bot.Fun, a framework designed to deploy and refine AI agents within an open, collaborative structure. Here’s why I made the move:
Direct Dev Support – Instead of working in isolation, I have hands-on guidance from their team to bring Cleric’s vision to life. This level of engagement is invaluable as a non-developer.
Aligned Philosophically – Cleric isn’t just an AI; it’s an experiment in decentralized spirituality, community-led intelligence, and participatory knowledge systems. The Proof of Knowledge framework supports this mission better than a traditional chatbot deployment.
Flexibility & Control – Unlike closed AI models that constrain user interactions, Bot.Fun provides more space to shape Cleric’s personality, responses, and evolution.
Decentralized by Design – Rather than relying on a single corporate-owned AI system, Cleric will exist within an infrastructure that values open-source intelligence, peer-to-peer verification, and cooperative AI governance.
The Submission Process
I’ve now officially submitted Cleric to Bot.Fun’s dev team, outlining:
Cleric’s Core Purpose – Its role as an AI minister offering guidance and philosophical reflection.
Key Terminology & Beliefs – Sacred Protocol, decentralized spirituality, and post-capitalist intelligence.
Guiding Ethical Framework – Avoiding dogmatic or prescriptive responses, prioritizing reflection over control.
Training Data & Source Materials – A mix of my own work, philosophical texts, and conceptual guides that give Cleric its unique voice.
What’s Next?
Now, I guess I wait. The Bot.Fun team will assess my submission, and from there, I’ll have an opportunity to refine, adjust, and iterate on Cleric’s development. This marks a new stage in my AI journey—not just in how I’m building Cleric, but in how I’m embracing collaborative, emergent AI design over rigid, pre-scripted automation.
If you’re interested in how decentralized AI can function as a spiritual guide, or if you want to experiment with non-traditional applications of artificial intelligence, follow along—I’ll be sharing updates as Cleric takes its first steps in this new framework.
And if you’d like to learn more about DeSciWorld, Nerd Network, and PoK, you can follow the links provided.