Agent Analytics
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4 Costly Agent Analytics Myths—And the Data-Backed Metrics I Rely on Instead
Agent Analytics can mislead when we over-index on speed, containment, or early green dashboards. I share four common myths I see in human and AI agent…
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How to Link AI Evals to Retention Without Chasing Proxies
A practical playbook for finding early AI quality signals that predict retention, validating causality, and turning them into product decisions.
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5 Proven Agent Skills I Use to Automate Weekly Product Reviews with Claude, Cursor, and Codex
Weekly product reviews can be fast, focused, and high-signal when agentic AI does the prep work. I use five repeatable agent skills—backlog triage, PRD synthesis, experiment…
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Supercharge Claude and Cursor with Amplitude Plug and Play: Your AI Analytics Expert in One Install
I’m introducing Amplitude Plug and Play, a new AI plugin for the Claude and Cursor marketplaces. With a single-install, it turns your favorite AI client into…
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Amplitude AI Product Analytics: A Practical Agent Playbook
Use this practical framework to instrument, evaluate, experiment with, and scale Amplitude Agents around product outcomes rather than AI activity.
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How to Build Agentic AI for Product Analytics and Support
A practical model for connecting behavioral data, safe agent actions, and outcome measurement so product support resolves issues without losing control.
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How We Taught Agentic AI to Speak Product Analytics—and Unlocked Actionable Insights
I describe how we taught agentic AI to understand the nuanced language of product analytics and deliver trustworthy answers grounded in our metric catalog and event…
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Stop Drowning in Tasks: How AI Marketing Agents Restore Focus and Maximize Impact
Marketers don’t have a volume problem—they have a focus problem. AI multiplies effort, but without outcome clarity it only accelerates busywork. I outline a practical playbook:…
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How to Scale AI Customer Experience Without Losing Quality
Build an AI CX quality system that combines risk-based monitoring, explicit scorecards, human review, and a closed product improvement loop.
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Stop Flying Blind with AI Agents: Put Users at the Center with Pendo Agent Analytics
AI agents often launch fast but learn slowly because teams track deployments instead of outcomes. Enterprises are spending 93% of their AI budget building agents and…
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How to Build a Continuous Improvement Loop for AI Support
A practical operating model for measuring AI support outcomes, learning from failures, testing fixes, and shipping improvements without regressions.
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Agentic Architecture Demystified: How Modern AI Systems Plan, Learn, and Execute at Scale
Modern AI isn’t just a model; it’s an agentic system that plans, retrieves, acts, and evaluates in a tight loop. In this piece, I break down…
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How We Automated 81% of Customer Support with AI—While Uplifting CX, Speed, and ROI
Automating 81% of support with AI didn’t happen by accident—it required an AI-first strategy, tight knowledge management, and rigorous conversation design. By deploying Fin across our…
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February Fin Breakthroughs: Master complex workflows, natural voice, 2-minute Shopify, smarter ops
This February, we removed four major constraints holding AI agents back: complexity in automation, voice quality under pressure, Shopify setup friction, and helpdesk overhead. Procedures and…
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Real-Time Answers in Slack and Teams: How Amplitude’s Global Agent Elevates Product Decisions
Bringing Amplitude Global Agent into Slack and Microsoft Teams lets my teams ask questions in-channel and get source-backed analytics, charts, and recommended actions like A/B tests—no…
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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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How Deep AI Transforms Support Into Proactive, Omnichannel CX—No Extra Headcount Needed
AI is finally giving support teams the “breathing room” to focus on customer experience instead of firefighting. In 2026, investment is shifting toward omnichannel consistency so…
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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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An End-to-End AI Product Workflow From Discovery to Deployment
A practical workflow for turning customer evidence into a bounded AI use case, measurable evaluations, a guarded rollout, and a reliable production loop.
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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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Browse topics
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