agentic AI
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The Modern Playbook for AI Agents: Build One‑Person Departments and Scale with Amplitude
AI agents deliver outsized value when they’re treated as productized workflows tied to clear outcomes. In this guide, I share how to consolidate processes, create “one-person…
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How We Built an AI Career Co‑pilot that Turns Knowing into Doing for Disadvantaged Students
Disadvantaged students don’t just need answers—they need an orchestrated path from insight to action. I break down how Zero Gravity built an AI career co‑pilot that…
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How to Design, Launch, and Govern an AI Agent Product
A practical playbook for scoping agent work, setting safe autonomy, measuring trusted outcomes, and earning adoption without losing accountability.
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How to Govern AI Agents With Product Analytics That Drives Action
A practical operating model for instrumenting AI agents, enforcing safe authority, setting release gates, and proving business outcomes.
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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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How to Design Multi-Agent Fintech Support That Finishes Work
A field guide to dividing agent roles, controlling multi-day fintech cases, enforcing compliance, and measuring verified resolution instead of chat volume.
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2026 Support Capacity Playbook: Bold AI Automation, Smarter Staffing, Zero‑Surprise SLAs
AI is reshaping support capacity planning, and the old linear volume-to-headcount model no longer holds. I center plans on automation rate (AI Agent involvement rate ×…
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From No-Code Hack to 10,000 Weekly Calls: Inside Perk’s Voice AI That Actually Works
A small Perk team turned a Make.com hackathon into a voice AI agent that makes 10,000+ weekly hotel verification calls—reducing failed virtual card payments and traveler…
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Own Your AI: 4 Essential Roles to Supercharge Support and Prevent Performance Drift by 2026
AI doesn’t fail because models are weak; it fails when no one owns performance. In this third installment of my 2026 customer service planning series, I…
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Unlock AI Product Roadmaps: Essential Tools Every PM Needs to Prioritize and Ship Faster
The AI era demands roadmaps that learn as fast as your customers do. In this first-person playbook, I share how I connect AI strategy to product…
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How We Built an AI Sleep Coach: CBTI, Voice AI, and a Product Playbook for Better Rest
I break down how Rest turned CBTI into a voice-first AI sleep coach that feels personal, safe, and effective. The team discovered a high-intent niche in…
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Taming 1,000+ Vendor Emails: How Xelix’s AI Helpdesk Delivers Fast, Confident Answers
Vendor communication is noisy, costly, and ripe for AI—if you build it right. I break down how an AI Helpdesk can transform 1,000+ daily vendor emails…
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AI Won’t Replace Engineers—Engineers Using AI Will: A Practical Playbook for Your Next Move
AI is automating tasks, not eliminating software engineers. The real opportunity is to shift from rote implementation to systems thinking, product discovery, and responsible AI Strategy.…
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From Sketch to Clickable Demo: My AI Prototyping Playbook to Build Apps in Hours
I share a practical playbook for turning napkin sketches into clickable AI prototypes in hours. You’ll see how I frame outcomes and MDEs, generate UI quickly,…
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AI Context Engineering: A System for Product Decisions
A practical workflow for turning customer evidence, product metrics, constraints, and human judgment into AI-assisted decisions your team can test.
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Agentic AI for Incident Response: A Practical Operating Model
A practical operating model for scoping, governing, evaluating, and rolling out incident-response agents without surrendering human control.
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Turn Claude Code Into a Trusted Teammate: My 3-Layer Memory System You Can Copy
I used to waste hours repeating the same context to AI and getting generic, off-the-mark feedback. By giving Claude Code a persistent, file-based memory, I now…
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AI at Home, Impact at Work: Experiments That Supercharged My Product Leadership
I reflect on a standout All Things Product conversation that reinforced how low-stakes AI experiments at home can dramatically improve how we build AI-powered products at…
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From Chaos to Consistency: How I Built a Scalable AI Content Design Agent with RAG
I built an AI content design agent that scales quality without sacrificing judgment by grounding it in a rigorous design system and a curated RAG knowledge…
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What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
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Browse topics
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