Product management frameworks, autonomous AI agent paradigms, and machine learning infrastructure architecture.
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).
I know I write about Waymo a lot. You’ll have to give me some grace — I do work in car insurance, and during my four years at Google, I spent a lot of time in close proximity to the teams training those exact models.
An architectural deep-dive into building latency-optimized, hallucination-free, and highly compliant LLM search systems for high-volume insurance transactions.
The era of the \"hands-off\" executive is over. As I wrote earlier this year in The Month AI Woke Up, we have entered a phase where the distance between an idea and a functioning prototype has effectively collapsed to zero.
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.
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.
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.
Last week, I found myself operating at the absolute center of an industry crossover that likely contained a single person. My calendar was a chaotic mix of developer meetups at New York Tech Week , executive panels at the Insurtech Insights conference, and casual evening happy hours during New York
Warning: This post is a bit more technical than some of my others. I spent last week in San Francisco with four of my teammates, navigating the familiar, high-vibration energy of the Valley.
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.
Every summer, a group of my fraternity brothers and I pack our bags for an annual trip we affectionately call the \"Bear Hunt.\" Despite the name, no actual wildlife is harmed.
Enterprises relying on autonomous AI agents must build a standardized control layer—an agent harness—that provides verifiable boundaries, deterministic state machines, and operational governance to empower multi-agent systems to perform reliably at scale.
The response to my first article as Chief AI Officer the other week was nothing short of incredible. Seeing the piece generate over 7,200 impressions and reach thousands of professionals across the industry validated what we all already feel: we are standing at the precipice of a massive technologic
Raw LLMs fail in production coding environments. Discover how to architect hyper-reliable autonomous coding agents using deterministic state machines, AST-based sandboxing, and strict feedback loops.
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.
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.
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.
A comprehensive guide by Daniel Herrington on architecting secure, compliant, and privacy-preserving LLM systems within regulated sectors like Insurance, Finance, and Healthcare.
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.
As highlighted in yesterday
Deep-dive guide by Daniel Herrington (ex-Google Core ML (AI2) Infrastructure) on optimizing JSON-LD schema for LLM crawlers (GPTBot, ClaudeBot, Google-Extended) to dominate RAG retrieval and SGE citations.
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.
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.
I recently had the pleasure of sitting down with Patti Harman at the DigIn podcast. Toward the end of our conversation, she asked me a simple but massive question: What are you most excited about right now? My answer didn
The velocity of technological change in mid-2026 has introduced a profound paradox to executive leadership: how do you execute long-term quarterly planning when your underlying technology stack can iterate in a matter of hours? In the era of autonomous AI agents, traditional roadmap planning require
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.
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.
A featured thought leadership piece in CIO Magazine examining how generative AI and real-time contextual data are driving the transition from rigid, 40-question quote forms to hyper-personalized, conversation-first insurance marketplaces.
