gOcto, Recently I tried building a support-focused AI agent using @OpenledgerHQ’s Model Factory. I expected some friction. Instead, it felt like filling out a form. ▸ You pick your use case – in my case, a support assistant. ▸ Feed it a dataset from #Datanets (OpenLedger’s onchain, tagged data library). ▸ You get back a fully functioning agent – with retrieval logic, response traceability, and reward attribution all in place. It’s rare to find something this transparent, fast, and customizable. Normally, fine-tuning models requires infra setup, data pipelines, and orchestration nightmares. Here, it’s handled for you and every data contributor is still credited via Proof of Attribution. This flips the script: from centralized APIs to agents you own, on your data, with your logic. For anyone building domain-specific AI, OpenLedger’s agent builder deserves a serious look.