agentic AI
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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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Stop Flying Blind with AI Agents: Put Users at the Center with Pendo Agent Analytics
AI agents often launch fast but learn slowly because teams track deployments instead of outcomes. Enterprises are spending 93% of their AI budget building agents and…
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Meet Amplitude’s Always‑On AI Analysts: Instant Answers Without Dashboards or Reports
Manual dashboards, ad hoc reports, and replay review have long slowed decision-making for product, growth, and data teams. Always-on analysis changes that dynamic by turning questions…
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Agentic AI for Clinical Trial Operations: A Practical Playbook
A practical framework for choosing, designing, validating, and governing clinical trial agents while keeping accountability and audit evidence intact.
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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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How We Automated 81% of Customer Support with AI—While Uplifting CX, Speed, and ROI
Automating 81% of support with AI didn’t happen by accident—it required an AI-first strategy, tight knowledge management, and rigorous conversation design. By deploying Fin across our…
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From Resolutions to Outcomes: How We Price AI Agents Fairly and Amplify Customer Value
AI pricing should align with real, measurable value. Resolutions were a great starting point, but as Fin now handles complex, multi-step, and human-in-the-loop workflows, success is…
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February Fin Breakthroughs: Master complex workflows, natural voice, 2-minute Shopify, smarter ops
This February, we removed four major constraints holding AI agents back: complexity in automation, voice quality under pressure, Shopify setup friction, and helpdesk overhead. Procedures and…
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Browse topics
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