Use Cases
9 reviews in this discipline.
Building AI Agents for Data Analysis: The Production Realities
Learn the harsh realities of building AI agents for data analysis in production. Avoid silent failures, control costs, and deploy with confidence using real-world strategies.
Building AI Agents for Real-Time Decision Making: What Actually Works (and What Breaks)
Deploying AI agents for real-time decision making is tough. Learn from production failures, cost overruns, and debugging pains. We cover frameworks like LangGraph, platforms like Bardeen, and the crit
AI Agents for Customer Support Automation: What Actually Works (and What Just Breaks)
Deploying AI agents for customer support automation is tricky. I'll share my experience building and debugging agents, focusing on real wins and frustrating failures.
AI Agents for Predictive Maintenance: What Actually Works in Production
Deploying AI agents for predictive maintenance is hard. Learn what breaks, what delivers, and how to avoid silent failures and cost overruns in industrial settings.
AI Agent Use Cases for Customer Service: Beyond the Hype Cycle
Stop the endless refund requests. Discover practical AI agent use cases for customer service that actually work, focusing on what breaks and how to fix it for real ROI.
Deploying an AI Agent for Customer Service: What Actually Breaks
Building an AI agent for customer service? Learn from production failures: debugging, cost overruns, and compliance. Get real insights for deploying agents.
AI Agents for Logistics 2026: What Actually Breaks in Production
Deploying AI agents for logistics in 2026? Learn what breaks in production, from silent failures to cost overruns, and how to build resilient systems with LangGraph and LangSmith.
Automating Customer Support with Agents: The Production Reality
Shipping AI agents for customer support isn't easy. Learn from real-world deployments, common failures, and the tools that actually work for automating customer support with agents.
The Latest AI Agent Research 2026: Why Debugging Still Sucks
I'm tired of silently failing agents. Here's what the latest AI agent research in 2026 is actually doing to fix production debugging and compliance.