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Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With Many
Read more: Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With ManyMulti-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 pipeline, tight context window management, and Agent Analytics to keep accuracy high and latency under control. Eval-driven development adds measurable confidence, while privacy-by-design and data governance ensure safety from…
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Deeper AI Integration, Clearer ROI: How Mature Deployments Redefine Support Economics
Read more: Deeper AI Integration, Clearer ROI: How Mature Deployments Redefine Support EconomicsAI can deliver quick efficiency wins, but the real ROI emerges when it is deeply integrated into support workflows. As deployments mature, teams move from tracking time saved to measuring how freed capacity fuels activation, retention, and revenue. The latest data shows 62% of teams see improved metrics with AI, rising to 87% at mature…
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Why “Figma Is Not the Source of Truth”: My Playbook for Design Leadership That Scales
Read more: Why “Figma Is Not the Source of Truth”: My Playbook for Design Leadership That ScalesI share a practical playbook for design leadership built around a simple truth: Figma is not the source of truth—customers are. You’ll learn how to align design with engineering, product, and marketing to deliver products that are useful, usable, desirable — and above all, used. I cover the four pillars that keep quality, speed, and…
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Context Engineering Playbook: 5 Proven Ways to Slash Context Rot and Scale Smarter AI
Read more: Context Engineering Playbook: 5 Proven Ways to Slash Context Rot and Scale Smarter AII built my first AI product without a safety net, and that experience reshaped how I think about context window management. In this playbook, I connect day-to-day Claude Code practices to five production-grade context engineering strategies. You’ll learn how to curb context rot, curate inputs, and use sub-agents for scalable performance. I also highlight how…
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Reinventing Product Management Workflow: The AI Upgrade I Use to Ship Faster, Smarter
Read more: Reinventing Product Management Workflow: The AI Upgrade I Use to Ship Faster, SmarterThis is the AI-first product workflow I use to compress discovery-to-delivery while increasing decision quality. A retrieval-first pipeline unifies feedback and analytics, LLMs accelerate research and PRD creation, and eval-driven development keeps prioritization rigorous. I connect opportunities to outcomes vs output OKRs, instrument launches with A/B testing, and measure impact through DORA metrics and retention…
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From Chaos to Clarity with Claude Code: My Hands-On Playbook for Product Leaders
Read more: From Chaos to Clarity with Claude Code: My Hands-On Playbook for Product LeadersI 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 and Claude MD files, run in a “walled garden,” and start with task management for fast, verifiable wins. I explain when to choose Haiku for speed and when Claude…
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Build CX Scores You Can Defend: My 5-step playbook for transparent, trustworthy AI metrics
Read more: Build CX Scores You Can Defend: My 5-step playbook for transparent, trustworthy AI metricsSupport leaders shouldn’t have to take a metric on faith. I explain how we built CX Score to be transparent, statistically validated, and aligned with expert human judgment. Our five-step approach spans real-world definitions of quality, expert-labeled datasets, production-grade engineering, measurable thresholds like F1 above 0.8, and rigorous field testing. Every score includes clear reasons…
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AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at Scale
Read more: AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at ScaleAI 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 AI safely, faster, and at scale—from retrieval-first pipelines and eval-driven development to feature flags, CI/CD, and Agent Analytics. You’ll learn how to set outcomes vs output OKRs, design effective…
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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Read more: Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two HoursParallel agents are transforming how I build analytics artifacts and make product decisions. By running specialized agents in parallel—metrics, data modeling, research synthesis, prototyping, and evaluation—I can deliver a coherent KPI Driver Tree in under two hours. This eliminates context loss, surfaces trade-offs earlier, and accelerates continuous discovery. Strong guardrails like data governance and eval-driven…
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Go Deep or Get Left Behind: How AI Deployment Depth Transforms Customer Service
Read more: Go Deep or Get Left Behind: How AI Deployment Depth Transforms Customer ServiceAI adoption is no longer the edge—it’s the entry ticket. What separates leaders is depth of deployment: integrating AI into core workflows, assigning ownership, and building continuous improvement loops. The latest research shows only 10% have reached mature deployment, yet those teams report materially higher quality and consistency. With the right executive sponsorship, content as…
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Amplitude’s AI Visibility Upgrade: Content Generation, Chat Segmentation, Sleeker UI—Why It Matters
Read more: Amplitude’s AI Visibility Upgrade: Content Generation, Chat Segmentation, Sleeker UI—Why It MattersAmplitude’s latest AI Visibility enhancements streamline how product teams move from data to decisions. Content generation automates experiment readouts and executive-ready insights, saving time without sacrificing context. AI chat-driven segmentation speeds cohort creation and iteration, enabling faster discovery and testing. A sleeker UI and improved reliability increase adoption and trust across the organization. Taken together,…
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Two People, Zero Waste: How Earmark’s Agentic AI Turns Meetings into Finished Work
Read more: Two People, Zero Waste: How Earmark’s Agentic AI Turns Meetings into Finished WorkI break down how Earmark turns live conversations into finished work with agentic AI—running multiple agents in parallel to draft specs, tickets, and even prototypes before the call ends. The founders share why an ephemeral (no-storage) architecture became an enterprise feature and how they cut costs from $70 per meeting to under a dollar through…
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