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Operations

Browse 18 articles in operations.

Operations Articles

18 articles · Page 1 of 2

A customer at a kitchen counter, phone in hand, gentle window light. A single product card on the screen, a thoughtful pause.
Operations·10 min read

How to Build a Cart Recovery Agent (and When to Send Nothing)

Most cart-recovery flows are three discount emails. A real recovery agent decides why the customer left, picks the right channel, caps the discount to protect margin, and sometimes sends nothing at all. Here is how to build it.

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Warehouse worker placing a return box on a conveyor in late afternoon light
Operations·12 min read

Build a Returns Voice Agent That Can't Refund Itself Broke

Returns are 60% of peak ecommerce contact volume. Most voice agents will refund $4,000 on a prompt injection. Here's how to build one that physically can't.

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Quiet Morning Kitchen With a Phone Face Up on a Wooden Counter Showing a Single Calm Notification Next to a Coffee Cup in Soft Terra Cotta Light
Operations·11 min read read

Build a Nurture Agent That Decides Not to Send

Most nurture sequences are 14 emails on a calendar. The fix is an event-triggered agent whose most valuable action is wait. Here's the worker.

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A young couple at a kitchen table at golden hour, looking at a listing photo together on a phone face-up between them.
Operations·12 min read

How to Build a Real Estate Showing Voice Agent (MLS, Lockboxes, TCPA)

Build a real estate voice agent that pulls live MLS data, parses showing instructions, books tours, and sends lockbox codes at the right time.

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Iceberg at Sea With Small Visible Tip Above Dark Water and Enormous Submerged Mass Glowing Amber — Visual Metaphor for Reasoning Tokens Hidden Below the Surface of Agent Responses
Operations·14 min read read

Reasoning Tokens Are Showing Up on the Bill

GPT-5 and Claude thinking tokens bill as output and stay invisible. A 200-token reply can hide 8,000 billable ones. How to measure, cap, and budget.

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Watercolor illustration of a split dashboard showing human reviewers on one side and automated scoring metrics on the other
Operations·15 min read read

74% of Production Agents Still Rely on Human Evaluation

A survey of 306 practitioners reveals most production agents are far simpler than expected. The eval gap isn't a tooling problem. It's a trust problem.

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Watercolor illustration of distributed trace spans flowing through an AI agent pipeline with OpenTelemetry instrumentation
Operations·18 min read read

What to Trace When Your AI Agent Hits Production

OpenTelemetry GenAI conventions are the production standard for agent tracing. What to instrument, what to skip, and what breaks — from a 2 AM debugging war story.

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woman in black long sleeve shirt standing beside woman in gray long sleeve shirt - Photo by Maxime on Unsplash
Operations·12 min read

The AI Agent Dashboard of 2026: What Teams Actually Need to See

Traditional dashboards tell you what went wrong yesterday. The AI agent dashboards teams actually need deliver feedback in the moment, during the call, not after it. Here's what that looks like in practice.

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a bunch of television screens hanging from the ceiling - Photo by Leif Christoph Gottwald on Unsplash
Operations·12 min read

Stop Reacting to Bad Calls. Catch Problems Before Customers Do

By the time a customer complains, you've already lost. Real-time analytics lets AI agent teams catch failing conversations mid-flight, not in the post-mortem. Here's how to build a proactive monitoring stack that prevents pain instead of documenting it.

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Watercolor illustration of descending cost bars alongside token streams flowing through an optimization pipeline
Operations·16 min read read

Your AI Agent Costs $13K/Month. Here's the Fix.

A production customer-service agent burned $13,247 in one month. Prompt caching, model routing, batch processing, and plan-and-execute architecture cut it to $1,100. Real pricing math for every technique.

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Man and woman back to back in office - Photo by Vitaly Gariev on Unsplash
Operations·11 min read

AI Agents Are Great. Until They're Not. When to Put Humans Back in Control

AI agents can handle 80% of your customer interactions with no problem. The other 20% is where your reputation is made or broken. Here's how to design escalation that actually works.

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Watercolor illustration of an engineering team monitoring AI agent dashboards with data flowing across screens
Operations·28 min read read

AI Agent Observability: What to Monitor When Your Agent Goes Live

Build a production observability pipeline for AI agents. Covers latency, token usage, tool success rates, conversation quality, drift detection, structured logging, alerting strategies, and the critical difference between LLM and agent observability.

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