prompt engineering
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How to Build an AI Productivity Stack That Saves You Time
A practical framework for choosing a small AI tool stack, testing real time savings, protecting judgment, and scaling useful team workflows.
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A Practical AI Evaluation Workflow for Product Teams
Build a repeatable AI eval workflow that turns vague quality debates into traceable failure rates, safer experiments, and clearer release decisions.
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Context Engineering: How to Build Reliable AI Applications
A practical framework for designing context, diagnosing agent failures, budgeting each turn, and evaluating AI applications before production.
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How Snapbar Turned Crisis Into an AI-Native Photo Experience Revolution
Snapbar’s reinvention shows how a mature company can turn crisis into a durable AI product strategy. The company moved from physical photo booths to a WebRTC-based…
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How I Make AI Agents Speak Like Our Team: A Conversation Design Playbook That Lifts CSAT
Your AI Agent will sound like an LLM unless you intentionally design how it communicates. I share a practical conversation design playbook covering tone, response structure,…
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Claude Code for Product Managers: Accelerate Prototypes, Validate Faster, Ship with Confidence
Claude Code helps me turn ambiguous product ideas into testable prototypes, grounded analyses, and instrumented experiments in a fraction of the time. By pairing it with…
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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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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.
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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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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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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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The AI PM One-Pager: Radical prototyping requirements for speed, clarity, and truth
A single one-pager can transform how AI product teams move from idea to insight. By prompting tools directly and defining eval-driven criteria up front, I cut…
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Never Lose Your AI Superpowers: How I Sync Context and Skills Across Every Device
Sharing AI context files and skills across devices—and with teammates—shouldn’t be painful. In this first-person walkthrough, I break down the real-world pitfalls I hit with Dropbox,…
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Cracking the Hardest Percentages: Turn Complex Support into Scalable, Trust-Building Automation
Complex queries are the smallest slice of most queues, yet they dominate handle time and define customer trust. In my experience, the fastest path to higher…
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How We Taught Agentic AI to Speak Product Analytics—and Unlocked Actionable Insights
I describe how we taught agentic AI to understand the nuanced language of product analytics and deliver trustworthy answers grounded in our metric catalog and event…
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Never Stop Disrupting: Why the Fin API Platform Signals a New Era for Agentic AI
Disruption favors teams that move from features to agents—and the Fin API platform accelerates that shift. With a customer agent platform resolving over 2M issues weekly…
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Inside Banani: How a Canvas-First AI Designer Elevates UX and Accelerates Product Teams
Banani’s canvas-first AI designer reframes how teams access high-quality UX by generating design—not just code. I break down how the team handles parallel edits, per-screen context…
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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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Ship MVPs in Days, Not Months: My Proven Prompt Prototyping Playbook for Product Teams
Most MVPs fail because teams validate too slowly and ship on assumptions. I use a prototyping prompts playbook to turn ideas into briefs, flows, and test…
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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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Browse topics
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