agentic AI
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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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Meet Amplitude’s Always‑On AI Analysts: Instant Answers Without Dashboards or Reports
Manual dashboards, ad hoc reports, and replay review have long slowed decision-making for product, growth, and data teams. Always-on analysis changes that dynamic by turning questions…
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Agentic AI for Clinical Trial Operations: A Practical Playbook
A practical framework for choosing, designing, validating, and governing clinical trial agents while keeping accountability and audit evidence intact.
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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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From Resolutions to Outcomes: How We Price AI Agents Fairly and Amplify Customer Value
AI pricing should align with real, measurable value. Resolutions were a great starting point, but as Fin now handles complex, multi-step, and human-in-the-loop workflows, success is…
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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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How to Scale AI Across the Customer Experience Without Silos
A practical model for extending AI beyond support with shared context, clear ownership, journey-level metrics, and controlled rollout gates.
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Prevent Strategy Drift: AI that flags ‘merge conflicts’ in product plans before a quarter derails
What if you could spot strategy misalignment the moment it starts—before it torpedoes a quarter? I break down how “GitHub for product management” can surface merge…
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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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Reliable AI Agent Orchestration: A Production Playbook
Learn how to bound AI-agent failures, control tool side effects, trace every handoff, and release orchestration changes without betting user trust.
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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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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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How to Run AI-Accelerated Product Discovery and Delivery
A practical model for using agents, analytics, prototypes, experiments, and guardrails to shorten product learning without weakening judgment.
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How to Build an AI-Native Go-to-Market Operating System
A practical blueprint for redesigning revenue workflows around AI agents, human handoffs, rigorous evals, shared CRM state, and clear ownership.
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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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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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