May 2026
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
-
An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
-
AI-Ready Customer Support: An Operating Model That Works
A practical operating model for preparing support knowledge, workflows, guardrails, human handoffs, and launch controls for reliable AI automation.
-
How to Design a Dependable CLI Agent Users Can Trust
A practical framework for building CLI agents with narrow contracts, safe permissions, predictable execution, and measurable reliability.
-
Analytics-Led Growth Engineering: A Practical Operating Model
Build a growth engineering system that connects trusted behavioral data, focused experiments, safe releases, and durable activation and retention gains.
-
Speed-to-Lead Is Dead: How AI Agents End the Wait and Rebuild a High-Velocity Sales Org
Prospects shouldn’t wait after they click “contact sales.” AI Agents engage buyers instantly at the peak of intent, collapsing qualification, discovery, and even an initial demo…
-
A Product Leader’s Playbook for Humane, Sustainable Growth
A practical operating model for balancing product growth with user agency, trust, community impact, and durable business value.
-
Prompt Engineering for Amplitude Global Agent That Holds Up
A practical framework for prompting Amplitude Global Agent to produce grounded, reviewable analysis that supports real product decisions.
-
Beyond Accuracy: How I Evaluate AI Customer Service Agents That Delight and Scale
Most teams judge AI agents by accuracy and resolution rates—but that’s only half the story. In my POCs, I mirror real-world messiness, stress-test multi-turn and multilingual…
-
Product Analytics for Retention: A Practical Operating System
Build a trustworthy retention analytics loop that connects valuable behavior, clean instrumentation, diagnosis, and controlled product experiments.
-
Old-School Selling Beats PLG in the AI Era: My GTM Playbook for 8‑Day Enterprise Deals
Old-school, in-person selling still beats product-led motions in the AI era because enterprise buyers reward teams who show up and de-risk change. I share how to…
-
Supercharge Core Web Vitals with Amplitude’s Global Agent: Faster Rankings, Happier Users
Core Web Vitals are a direct lever on user experience and SEO, so I use Amplitude’s Global Agent and Amplitude AI Agents to measure and improve…
-
How to Operate Always-On AI Agents Without Losing Control
A practical operating model for unattended AI agents, covering job design, permissions, task state, failure handling, cost controls, and scaling.
-
Value-Based Pricing and Packaging: A Practical Playbook
A practical method for choosing a value metric, designing packages, validating willingness to pay, and launching pricing customers can trust.
-
Built for Your Biggest Days: How We Engineer Fair, Reliable Scale Without Downtime
Enterprise teams ask sharper questions about scale—and they should. I share how we handle 150k+ requests/sec, shard our source-of-truth data with Vitess and PlanetScale, and reshape…
-
How to Build an AI-Native Product Discovery Workflow
A practical workflow for turning customer evidence and product analytics into traceable decisions with retrieval, bounded AI tasks, and evals.
-
Level Up: May 26 Claude Code Show & Tell + Final Product Discovery Fundamentals Cohort
Two timely opportunities to strengthen your product practice are on the calendar. On May 26 at 9am PDT, join a lively Claude Code: Show & Tell…
-
Behavioral Customer Data for Proactive SaaS Retention
Learn how to turn behavioral customer data into clear risk reasons, timely retention plays, and a weekly product and customer success operating loop.
-
Unlocking AI Agents: The Real Barrier Is Readiness—Not Capability—Here’s How to Scale
The biggest barrier to scaling AI Agents isn’t model capability—it’s organizational readiness. I break readiness into five types (content, scope, procedural, data, execution) and show why…
-
How to Validate Behavioral Heatmap Accuracy Before You Act
A practical workflow for checking screenshot fidelity, click placement, segmentation, and supporting evidence before you act on a heatmap.
-
Governed AI Analytics in Financial Services: A Playbook
A practical operating model for deploying AI analytics with clear data boundaries, human review, audit evidence, and measurable business value.
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.