Agent Analytics
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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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Battle-Tested AI Agent Orchestration Patterns for Reliable, Observable, Product-Ready Systems
Reliable agentic AI isn’t luck—it’s architecture, instrumentation, and disciplined release practices. In this guide, I share the orchestration patterns my teams use to deliver dependable, observable…
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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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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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Deeper AI Integration, Clearer ROI: How Mature Deployments Redefine Support Economics
AI 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…
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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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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Parallel 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…
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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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How Product Leaders Turn AI Agents Into Adopted Workflows
A practical framework for choosing an agent workflow, defining safe autonomy, measuring real adoption, and scaling only when outcomes improve.
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Real-Time Analytics for Financial-Services Contact Centers
A practical operating model for turning live contact-center signals into routing, agent guidance, experiments, and compliant decisions.
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Agentic AI for Construction Tendering: A Product Playbook
A practical playbook for narrowing the tendering wedge, designing specialist agents, evaluating each decision, and earning safe autonomy.
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AI Customer Service Transformation: An Operating Playbook
A practical playbook for choosing support work to automate, redesigning human roles and handoffs, governing quality, and proving durable business value.
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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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Governed Agent Analytics: From Support Signals to Adoption
A practical model for linking support performance to product adoption while enforcing clear data, access, experiment, and scale controls.
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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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Browse topics
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