Structured Output Isn't Reliable Output
JSON mode, function calling, constrained decoding - these give you schema compliance, not semantic reliability. Your output can be perfectly valid JSON and completely wrong.
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Insights on AI trust
Practical perspectives on agentic systems, data architecture, and building AI that works in production.
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The Agent Watchtower, Part 1: The Fragmentation Tax
Banks are deploying AI agents across AWS, Azure, GCP, and open-source frameworks. The result: governance blind spots, compliance nightmares, and a ticking regulatory time bomb.
Read more →All Posts
Structured Output Isn't Reliable Output
JSON mode, function calling, constrained decoding - these give you schema compliance, not semantic reliability. Your output can be perfectly valid JSON and completely wrong.
Read more →The Insurance Industry's AI Blind Spot: Claims Automation Without Trust Infrastructure
Insurance companies are racing to automate claims with AI. Nobody's built for the regulator, the litigant, or the appeals board. The blind spot isn't capability - it's trust infrastructure.
Read more →What Moltbook Reveals About Multi-Agent Trust at Scale
Moltbook isn't an enterprise product - but the vulnerabilities it exposes matter for any organization deploying multi-agent AI systems.
Read more →The Agent Watchtower, Part 5: Reference Architecture
A complete, implementable design for enterprise agent governance. Concrete specifications, integration patterns, and implementation roadmap.
Read more →The Agent Watchtower, Part 4: Economics of Agent Operations
The financial model for sustainable AI governance. Cost cascading, ROI-driven routing, and why governance pays for itself.
Read more →The Agent Watchtower, Part 3: The Autonomy Spectrum
How to balance business unit freedom with enterprise governance. Federated control, trust-based permissions, and why guardrails beat gates.
Read more →The Agent Watchtower, Part 2: Anatomy of an Agent Control Plane
The technical architecture for unified agent governance. Registry, observability, policy, and control - how to build the infrastructure that makes multi-cloud agent governance possible.
Read more →The Agent Watchtower, Part 1: The Fragmentation Tax
Banks are deploying AI agents across AWS, Azure, GCP, and open-source frameworks. The result: governance blind spots, compliance nightmares, and a ticking regulatory time bomb.
Read more →The Eval Crisis: Why Most Benchmarks Don't Matter
Your model scores 90% on MMLU. It still fails in production. The benchmarks everyone obsesses over measure the wrong things for enterprise AI.
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