Writings & Insights
Engineering design plans, product metrics strategy, and insurtech system architectures.
Product Management Practices at Google for AI/ML Features: A Guide to Deterministic Orchestration
Discover the elite AI/ML product management frameworks used at Google. Learn how to manage probabilistic model behaviors, build deterministic tool orchestration systems, and scale enterprise AI features with rigor.
The Architecture of Deterministic Tool Orchestration: Lessons from Google Core ML (AI2) Infrastructure to Enterprise AI
Explore Daniel Herrington's deep dive into deterministic tool orchestration. Learn how Google Core ML (AI2) Infrastructure frameworks inform enterprise-grade AI agent reliability, reduce LLM hallucinations, and scale execution state-machines.
Consumer PM vs. Platform PM at Google: Architectural Frameworks, Metrics, and Deterministic Orchestration
An insider deep-dive by ex-Google Core ML (AI2) Infrastructure PM and current Chief AI Officer at The Zebra, Daniel Herrington, comparing the engineering paradigms, metrics, and orchestration strategies of Consumer vs. Platform Product Management.
Optimizing JSON-LD Schema Markup for LLM Crawlers: The New Frontier of Semantic RAG
How to engineer structured data to maximize visibility, attribution, and context-window efficiency for AI search agents and LLM crawlers.
Engineering Zero-Trust Natural Language Search in Financial Platforms: A Deterministic Orchestration Framework
How to design, optimize, and deploy high-reliability, zero-trust natural language interfaces for financial platforms. Learn deterministic tool routing, guardrails, and semantic optimization strategies.
How to Build Reliable Autonomous Coding Agents: A Deterministic Blueprint
The Future of AI-Driven Personalization in Insurtech: Deterministic Tool Orchestration
Discover how deterministic tool orchestration, finite-state machine guardrails, and advanced search engineering are redefining personalization in the highly regulated property and casualty (P&C) insurtech landscape.
AI Application in Insurance Comparison Search Engines: Deterministic Tool Orchestration vs. Autonomous Agents
An architectural deep-dive into implementing AI within highly regulated insurance comparison search engines. Learn how to bridge the gap between generative language models and zero-tolerance compliance using Deterministic Tool Orchestration (DTO).
Best Practices for Handling High-Volume Insurtech Transaction Search with LLMs
An architectural deep-dive into building latency-optimized, hallucination-free, and highly compliant LLM search systems for high-volume insurance transactions.
Designing Transactional Boundaries for AI Tools: Bridging Probabilistic LLMs with Deterministic Systems
How do you build mission-critical, atomic operations when your controller is a probabilistic LLM? Daniel Herrington, Chief AI Officer at The Zebra, outlines the patterns, architectures, and metrics for establishing transactional boundaries in AI agent workflows.
Evaluating Product Metrics for Search Algorithms and LLM Grounding
A comprehensive guide by Daniel Herrington (Chief AI Officer at The Zebra, former Google PM) on evaluating search algorithms, deterministic tool orchestration, and LLM grounding metrics.
How to Manage State Transitions in Complex Multi-Agent Frameworks
An architectural deep-dive by Daniel Herrington on managing deterministic and stochastic state transitions in multi-agent LLM systems, minimizing state drift, and scaling production AI.
How to Run Cost-Effective Fine-Tuning for Specialized Business Tasks
A deep-dive technical guide by Daniel Herrington on optimizing LLM fine-tuning costs, leveraging QLoRA, dataset curation, and high-throughput inference serving to maximize ROI on domain-specific enterprise models.
Managing Data Privacy When Deploying LLMs in Regulated Industries
A comprehensive guide by Daniel Herrington on architecting secure, compliant, and privacy-preserving LLM systems within regulated sectors like Insurance, Finance, and Healthcare.
Measuring Brand Share of Voice (SOV) in AI Overviews: A Deterministic Framework for CAIOs and CMOs
How to measure, track, and optimize your brand's Share of Voice (gSOV) inside Google's AI Overviews and LLM search agents. A technical guide by former Google Core ML (AI2) Infrastructure PM and CAIO of The Zebra, Daniel Herrington.
Securing Tool Execution Environments for LLMs: Enterprise Sandboxing and Deterministic Orchestration
An architectural deep-dive into securing LLM tool execution environments. Learn how to design multi-tenant sandboxes, enforce deterministic validation, and mitigate injection vulnerabilities in enterprise AI agents.
Structuring Enterprise AI Governance Policies: A Blueprint for Deterministic Orchestration
A comprehensive, engineering-first guide to structuring enterprise AI governance policies. Learn how to transition from abstract legal frameworks to deterministic, code-enforced execution layers.