EPISODE · Sep 8, 2025 · 6 MIN
AI Agents for Knowledge Sharing: Building Project Alignment Across Networks with Thomas & Victor
from Coherence.tv · host Coherence.tv
In this Project Onboarding conversation, Thomas Landrain (biologist, systems thinker, and co-founder of JOGL – Just One Giant Lab) joins Victor Vorski (The Gathering, Coherence) to explore the future of AI-powered knowledge sharing in distributed communities.JOGL is developing an AI agent that connects people across loosely networked ecosystems by mapping needs, aligning interests, and catalyzing the emergence of collective projects. Thomas shares how this vision intersects with Coherence 2025 — and why creating AI that reflects community logic, not top-down control, is essential for the future of collaborative infrastructure.Topics explored include: 🔹 JOGL’s vision for AI agents that assist project emergence in scientific and tech communities 🔹 Building tools for decentralized collaboration and peer-based matchmaking 🔹 Using conversation to surface deep wisdom — and how AI can capture and reframe it 🔹 Opportunities for interfacing JOGL’s AI agents with Coherence’s cultural protocol 🔹 Sharing tacit knowledge: why talking reveals more than writing 🔹 From biotechnologist to ecosystem designer: Thomas’ journey across disciplines 🔹 Mapping unmet needs and aligning actors around shared purpose 🔹 The importance of socio-technical compatibility for meaningful adoption 🔹 Creating AI systems that understand the social fabric of regenerationThis conversation offers a grounded look at how AI can act as a bridge — not a barrier — for co-creation, especially in contexts where knowledge is abundant but fragmented.✨ For regenerative network builders, AI developers, knowledge system designers, and anyone working to scale collaboration through intelligent infrastructure, this is a powerful entry point.🔹 Coherence 2025: https://coherence.tv/ 🔹 JOGL – Just One Giant Lab: https://jogl.io/ 🔹 Thomas Landrain: https://www.linkedin.com/in/thomaslandrain 🔹 Victor Vorski: https://www.linkedin.com/in/vvorski/
What this episode covers
In this Project Onboarding conversation, Thomas Landrain (biologist, systems thinker, and co-founder of JOGL – Just One Giant Lab) joins Victor Vorski (The Gathering, Coherence) to explore the future of AI-powered knowledge sharing in distributed communities.JOGL is developing an AI agent that connects people across loosely networked ecosystems by mapping needs, aligning interests, and catalyzing the emergence of collective projects. Thomas shares how this vision intersects with Coherence 2025 — and why creating AI that reflects community logic, not top-down control, is essential for the future of collaborative infrastructure.Topics explored include: 🔹 JOGL’s vision for AI agents that assist project emergence in scientific and tech communities 🔹 Building tools for decentralized collaboration and peer-based matchmaking 🔹 Using conversation to surface deep wisdom — and how AI can capture and reframe it 🔹 Opportunities for interfacing JOGL’s AI agents with Coherence’s cultural protocol 🔹 Sharing tacit knowledge: why talking reveals more than writing 🔹 From biotechnologist to ecosystem designer: Thomas’ journey across disciplines 🔹 Mapping unmet needs and aligning actors around shared purpose 🔹 The importance of socio-technical compatibility for meaningful adoption 🔹 Creating AI systems that understand the social fabric of regenerationThis conversation offers a grounded look at how AI can act as a bridge — not a barrier — for co-creation, especially in contexts where knowledge is abundant but fragmented.✨ For regenerative network builders, AI developers, knowledge system designers, and anyone working to scale collaboration through intelligent infrastructure, this is a powerful entry point.🔹 Coherence 2025: https://coherence.tv/ 🔹 JOGL – Just One Giant Lab: https://jogl.io/ 🔹 Thomas Landrain: https://www.linkedin.com/in/thomaslandrain 🔹 Victor Vorski: https://www.linkedin.com/in/vvorski/
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AI Agents for Knowledge Sharing: Building Project Alignment Across Networks with Thomas & Victor
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