retrieval-first pipeline
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From Tickets to Strategy: How AI Is Rewriting Support Careers—and Why Now Is the Moment
AI is reshaping support from the ground up, shifting work from ticket handling to strategic system improvement. Teams report updated job descriptions, more time spent training…
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12 Game-Changing Updates to Fin Procedures & Simulations for Complex Queries
I’m announcing 12 major upgrades to Fin’s Procedures and Simulations that help teams safely scale agentic AI for complex, multi-step customer workflows. Build Procedures faster with…
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Human-in-the-Loop Mastery: Proven Oversight Tactics That Elevate AI Quality and Trust
Human-in-the-loop oversight is the most reliable lever I use to improve AI quality and build trust. By combining retrieval-first pipelines, prompt engineering, and eval-driven development with…
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Implementing AI Agents That Scale: My Playbook for One‑Person Departments with Amplitude
This playbook shows how to turn agentic AI from a promising demo into a dependable “one-person department” that owns real outcomes. I share how to map…
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How to Scale Trustworthy Enterprise Analytics With AI Agents
A practical operating model for grounding, evaluating, governing, and scaling AI analytics agents without losing metric consistency or stakeholder trust.
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Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With Many
Multi-agent systems turn a single clever model into a reliable product engine by coordinating specialized agents—planner, executor, and verifier—inside robust AI workflows. I use a retrieval-first…
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How to Build an AI-Native Product Development Workflow
A practical operating model for connecting customer evidence, product decisions, context engineering, evaluation, and delivery in one learning loop.
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From Chaos to Clarity with Claude Code: My Hands-On Playbook for Product Leaders
I take you inside my hands-on system for turning Claude Code from a clever demo into a dependable teammate. You’ll see how I set up /init…
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AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at Scale
AI agents demand a higher bar for safety, observability, and measurable outcomes. In this first-person playbook, I share the proven checklist I use to deploy agentic…
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How to Build a Mature AI Customer Service Operation
A practical maturity model for turning customer-service AI from a live pilot into an owned, measurable operation that resolves complex work safely.
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Building Reliable AI Agent Systems: A Product Leader’s Playbook
A practical operating model for scoping, evaluating, shipping, and scaling AI agents that stay safe, observable, and economical in production.
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Build Your Personal Operating System with Claude Code: A Playbook for Focus, Speed, Clarity
A personal operating system turns scattered inputs into decisive action, and Claude Code is the catalyst I use to make it real. In this playbook, I…
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Building Physician‑Grade AI When Trust Is Everything: Inside Healio’s Proven Playbook
Physicians won’t trust AI until it proves itself. Here’s how Healio built a physician-grade assistant with RAG and hybrid search across trusted sources like PubMed, designed…
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AI Context Engineering: A Practical System for Product Teams
Learn to build small, traceable context packs that help product teams use AI for discovery, prioritization, and execution with less rework.
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10 AI Business Models You Need Now: Proven Playbooks Turning Algorithms into Revenue
AI is no longer a feature—it’s a business model. In this guide, I break down ten proven models—API-first services, vertical copilots, agentic automation, copilot upsells, insights-as-a-service,…
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Trustworthy AI Product Engineering: From Demo to Daily Use
A practical operating system for making AI outputs traceable, uncertainty actionable, failures bounded, and quality measurable in customer workflows.
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Context-Driven AI Product Engineering That Survives Production
Learn how to design context contracts, retrieval pipelines, evaluations, and ownership so an AI feature stays grounded and useful in production.
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From Concierge to AI Marketing Engine: Inside Mowie’s Document Hierarchy Playbook
SMBs don’t need a bigger team to market like pros—they need smarter systems. In this first-person breakdown, I unpack how Mowie evolved from a hands-on concierge…
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Beyond Accuracy: The Trust-First Evaluation Metrics I Use to Scale High-Impact AI Products
Trust—not accuracy—determines whether AI features earn adoption, retention, and long-term impact. In this piece, I share the layered metrics I use to evaluate model quality and…
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How Startups Earn Visibility in ChatGPT and Perplexity
A practical system for turning buyer questions, structured pages, independent proof, and repeatable evaluations into startup visibility in AI search.
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Browse topics
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