Future AGI feels like a much-needed layer in the AI stack. Too many teams still treat hallucination and reliability issues reactively. This flips the model into proactive observability. What stands out: 👉 Zero-configuration setup lowers adoption friction (critical for busy eng/product teams). 👉 The ‘Truth Graph’ approach makes continuous monitoring and optimization more intuitive. 👉 Actionable suggestions + clustering root causes is exactly what accelerates debugging at scale. From my perspective, the real unlock will be how this drives trust for both enterprise buyers and end-users. As AI observability becomes a baseline expectation, I can see Future AGI becoming the equivalent of ‘New Relic for AI systems.’ Excited to see where you take it 🚀