about people, places, things and EXPERIENCES

Building Trust in AI Part 7 of 9 January 2026 15 min read Continuous Learning: AI That Gets Smarter How AI systems can learn from every interaction without expensive retraining. Introducing the ACE Framework for persistent improvement. The previous posts covered how AI systems route, retrieve, guard, and govern. But there’s a critical question we — read more

Building Trust in AI Part 4 of 9 December 2025 12 min read Responsible AI: Explainability You Can Actually See When AI makes decisions that affect people, “it’s a black box” isn’t acceptable. “The model said no.” That’s not an explanation. When AI influences loan decisions, hiring recommendations, or content moderation, stakeholders deserve to understand — read more

Building Trust in AI Part 3 of 9 December 2025 18 min read Guardrails & Evaluation: Safety You Can See Content filtering and quality assessment – two sides of the same trust coin. AI safety isn’t just about blocking bad outputs. It’s about measuring quality systematically and knowing exactly when and why interventions happen. When — read more

Building Trust in AI Part 1 of 9 December 2025 12 min read Intelligent Routing: The Entry Point to Trust Understanding how AI systems select models is the first step toward trusting their decisions. When you send a query to an AI platform, how does it decide which model to use? This seemingly simple question — read more

Building Trust in AI Part 6 of 9 December 2025 16 min read Agent Observability: Understanding How AI Agents Work Comprehensive metrics for AI agent behavior, performance, and cost tracking. The previous posts covered how AI requests flow through the system—routing, grounding, guardrails, evaluation, explainability, and governance. But there’s a critical question we haven’t addressed: — read more

Building Trust in AI Part 5 of 9 December 2025 11 min read Governance: Complete Audit Trails Who did what, when, and why? Governance is about answering those questions definitively. Trust isn’t just about AI making good decisions. It’s about knowing who accessed the system, what they did, how much it cost, and whether policies — read more

Building Trust in AI Part 2 of 9 December 2025 10 min read Knowledge & Grounding: Context You Can Verify How RAG systems provide context to LLMs – and why seeing the retrieval process matters. LLMs are powerful, but they hallucinate. They confidently state things that aren’t true. RAG (Retrieval Augmented Generation) grounds responses in — read more

Building Trust in AI Part 9 of 9 January 2026 16 min read From Metrics to Business Value: The Executive View Connecting technical AI metrics to business outcomes. KPIs that matter to CFOs, CISOs, CTOs, and CDOs – and how to demonstrate ROI. Throughout this series, we’ve built technical sophistication: routing algorithms, RAG architectures, guardrails, — read more

Building Trust in AI Part 8 of 9 January 2026 14 min read Enterprise Patterns: Scale, Resilience, Integration Moving from prototype to production requires patterns for multi-tenancy, disaster recovery, model lifecycle, and enterprise integration. Building a trustworthy AI system is one challenge. Operating it at enterprise scale is another. This post covers the patterns that — read more