Shivam.Consulting Blog
AI products, enablement & hiring
- AI Strategy (374)
- Generative AI (108)
- IT Leadership (37)
- Leadership (79)
- Product Management (369)
- Product Management Leadership (341)
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Learning Together: The Small-Group Product Coaching Strategy That Accelerates Real-World Growth
If you want real behavior change—not just a shared vocabulary—small, intentional learning groups outperform one-off training and solo courses. In this reflection, I break down three…
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From AI Builder to Agent Swarm: A Product Delivery Model
A practical model for combining AI Builders, selective agent parallelism, evaluations, and release controls across product discovery and delivery.
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Turning Pendomonium Insights Into a Product Growth System
A practical system for turning Pendomonium sessions, expert input, and peer conversations into measurable onboarding and activation experiments.
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Engineering MCP Agents as a Reliable Product Platform
A practical framework for building MCP agent platforms around controlled context, safe actions, measurable reliability, and governed scale.
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Reusable AI Agent Workflows Need Evaluation Contracts
A practical model for packaging agent skills with traces, test fixtures, guardrails, and product metrics so reuse does not weaken accountability.
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Connecting Amplitude Positioning to Product-Led Growth
A synthesis of how technical proof, behavioral evidence, growth experiments, and shared metrics can connect Amplitude’s positioning to product-led growth.
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A Game-Changing Leap in Voice AI: Fin Voice 2, Apex Flash, and a Live Demo You Can Trust
Voice AI is finally stepping out of the demo lab and into the real world. With Apex Flash and Fin Voice 2, we get fast, natural…
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Crafting Beloved Tech Brands: My Moonshot Marketing Playbook for the Post-LLM Era
Marketing in 2026 isn’t a channel plan; it’s a feeling customers want to belong to. In this playbook, I share how to run one unified engine,…
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Supercharge Insights with Amplitude Agent Connectors: Connect Notion, Slack, Linear & More
When insights and actions live in different tools, teams lose speed and clarity. Amplitude’s Agent Connectors help by uniting Notion, Atlassian, Slack, Linear, and more with…
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Package Hack Wake-Up Call: My Playbook for Securing Cowork, Coding Agents, and Secrets
A recent wave of malicious package hacks pushed me to level up my security posture without slowing down my AI workflows. In this piece, I break…
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Broken Procurement Is Costing You Talent: A Product Leader’s Playbook for Speed and Sanity
Procurement should accelerate value, not block it. In this episode recap and analysis, I unpack how sprawling forms, overreaching security reviews, and unclear ownership repel the…
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A Reliable Amplitude AI Workflow for Product Decisions
Build Amplitude AI analyses stakeholders can trust by controlling context, checking evidence, and turning findings into accountable product decisions.
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Join Me in June: Master Opportunity-First Product Strategy with Continuous Discovery Habits
Join me for a June read-along of Continuous Discovery Habits focused on prioritizing opportunities—not just shipping features. I’ll share a structured reading guide, short videos, reflection…
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Stop Support Tickets Before They Start: How AI Unsticks Users and Lifts Conversions
Stuck users don’t just stall—they open tickets and quietly abandon funnels. By pairing behavioral analytics, session replay, and targeted in-app guides with an AI Assistant, it’s…
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How to Build a Resilient Experimentation Program at Scale
A practical operating model for producing trustworthy decisions through layered evaluation, governed measurement, and reversible delivery at scale.
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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.
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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.
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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.
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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.
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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…
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- AI Strategy (374)
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