agentic AI
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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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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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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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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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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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How to Build a Reliable WhatsApp AI Ordering Agent
A practical guide to scope, architect, evaluate, and roll out WhatsApp AI ordering without sacrificing response time or order accuracy.
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Amplitude AI Product Analytics: A Practical Agent Playbook
Use this practical framework to instrument, evaluate, experiment with, and scale Amplitude Agents around product outcomes rather than AI activity.
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Unleashing Inbound Sales with AI: My Playbook for Launching and Scaling Sales Agents Fast
Inbound sales shouldn’t wait in queues, and AI finally gives us a way to act on buyer intent in real time. The Sales Agent Blueprint is…
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How to Design an AI Customer Agent for Sales Qualification
A practical framework for qualifying inbound buyers, routing them accurately, preserving context, and measuring the pipeline an AI agent actually adds.
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How to Build Agentic AI for Product Analytics and Support
A practical model for connecting behavioral data, safe agent actions, and outcome measurement so product support resolves issues without losing control.
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Auditable AI Code Review: A Practical Operating Model
A practical operating model for AI code review that makes approvals explainable, limits autonomy by risk, and improves through production evidence.
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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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Stop Drowning in Tasks: How AI Marketing Agents Restore Focus and Maximize Impact
Marketers don’t have a volume problem—they have a focus problem. AI multiplies effort, but without outcome clarity it only accelerates busywork. I outline a practical playbook:…
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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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Product Management Isn’t Dead: Why ‘Product Builders’ Will Win in the AI Era—and How to Upskill Now
“Is product management dead?” Not even close. The role is evolving as AI raises the baseline, compresses cycle time, and nudges the classic product trio toward…
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How to Build Cost-Effective PR Review Agents In-House
A practical blueprint for building an in-house PR review agent that controls model spend, limits false positives, and improves review flow.
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Apex Arrives: Vertical AI That Beats GPT-5.4 on Customer Service Speed, Accuracy, and Cost
Apex is a new vertical model for Fin that outperforms GPT-5.4 and Opus 4.5 on speed, accuracy, and cost—now powering ~100% of English chat and email…
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Browse topics
- AI Strategy (430)
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