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)
- Uncategorized (32)
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No More Accidental Agents: How We Engineered Global Agent’s Helpful, Curious Personality
Most AI agents inherit accidental personalities from prompts and defaults. We took a different path, treating personality as a measurable product surface and optimizing it with…
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Knowledge Management for AI Sales Agents: A Practical System
A practical operating model for turning product facts, sales policy, and conversation failures into accurate AI qualification and routing.
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I Pointed a “Ralph Wiggum” AI Loop at My Product for a Week—The Data That Stopped Chaos
I pointed a “Ralph Wiggum loop” at my product for a week to see how an agentic AI would perform under tight guardrails. The loop moved…
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From Vision to Execution: Building Agentic, Data‑Driven Products with Real‑World Rigor
Agentic AI demands more than dashboards—it requires a system that observes, reasons, and acts with measurable impact. I connect behavioral analytics to action by pairing Amplitude-style…
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From Prototype to Production: How I Built Reliable AI-Generated Opportunity Solution Trees
I set out to make AI-generated opportunity solution trees reliable at scale and discovered why updating a tree is far harder than creating one from scratch.…
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AI-Assisted Product Strategy: A Practical Operating System
A practical operating system for using AI to sharpen product strategy, trace decisions to evidence, and turn discovery into measurable learning.
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What the Intercom-to-Fin Rebrand Teaches Product Leaders
A practical framework for making an AI product the company name without confusing customers or abandoning a durable product brand.
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Beyond the Product Builder Hype: How AI, org design, and joy shape PM success
Is the product builder wave a mandate or a useful tool? I unpack how to use coding and AI in product management without causing organizational chaos.…
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From Internal FinOps Agents to Customer-Embedded Optimization
Learn how to turn internal FinOps agents into governed, customer-embedded workflows that improve cloud cost-to-value and product learning.
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How to Run AI-Assisted Feature Launches That Drive Growth
A practical operating model for using agents, feature flags, behavioral data, and decision rules to turn each feature launch into a measurable growth loop.
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How a Digital Analytics Visionary Shapes My Product Strategy for Growth, Retention & Monetization
Data is my compass for product decision-making, and I operationalize it through behavioral analytics, rigorous A/B testing, and continuous discovery. I start by mapping user journeys…
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How to Build a SaaS Retention and Expansion System
Build a closed-loop SaaS system that turns product, support, CRM, and billing signals into measurable retention and expansion playbooks.
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Outcome-Based Pricing That Delivers: Pay $10 Only for Qualified Leads with Fin for Sales
Pay only when Fin delivers value: $10 per qualified lead that your team defines. This outcome-based pricing aligns cost with real sales pipeline, not activity, conversations,…
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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 Evaluate a Shopify-Native AI Shopping Agent
A practical framework for judging whether a Shopify-native AI agent can improve discovery, conversion, and support without adding operational risk.
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How to Scale Session Replay Without Sacrificing Privacy
A practical operating model for scaling session replay with strict capture controls, performance budgets, targeted sampling, and measurable governance.
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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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Amplitude MCP: Evidence-Grounded AI Workflows for Product Teams
A practical playbook for grounding product decisions, bug investigations, and AI-generated changes in Amplitude behavioral evidence, with clear decision gates.
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Taste vs. Evidence in the AI Era: What Product Leaders Must Invest In Now
Is “taste” truly a must-have skill in the AI era or just hype? After listening to Teresa Torres and Petra Wille, I share why opinionated product…
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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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Browse topics
- AI Strategy (374)
- Generative AI (108)
- IT Leadership (37)
- Leadership (79)
- Product Management (369)
- Product Management Leadership (341)
- Uncategorized (32)
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