The AI Safety Net: Why We Built Manual Mode (And How It Saves Deals)
Stop watching your AI fail in real-time. Learn how Optimly's Manual Mode lets you grab the wheel when your chatbot goes off the rails—and why it's the missing piece in every AI deployment.
What Are the Best Tools for Chatbot Analytics? (2026 Guide)
Wondering what are the best tools for chatbot analytics? See how native dashboards, product analytics, conversation analytics, AI observability, and Optimly's analytics layer fit together into a single stack.
The Real Problems with Chatbot Analytics in 2025
A quick list of the most important chatbot KPIs you should be tracking to measure performance, ROI, and user satisfaction, from goal completion to fallback rates.
The Complete Guide to Calling an Optimly Agent Using cURL
This guide provides a comprehensive, step-by-step walkthrough for integrating with Optimly agents using cURL. Learn how to authenticate, send messages, manage conversations, handle errors, and apply best practices for production deployments. Whether you're a developer or a no-code user, you'll find actionable examples and troubleshooting tips for every scenario.
The Chatbot Analytics Platform Playbook: From Gut Feelings to Proven ROI
Want to rank for "chatbot analytics platform"? Here is the hook-problem-solution guide to instrument, monitor, and improve AI conversations—with Optimly as the engine behind the scenes.
LLM Integration Patterns for Chatbot Platforms: Architecture Playbook
Design an end-to-end integration architecture that lets large language models safely power your chatbot platform without creating a maintenance nightmare.
Operationalizing Data for LLM Chatbot Integrations
Keep knowledge fresh, grounded, and measurable so your LLM-powered chatbot delivers reliable answers every time.
Scaling LLM Chatbot Integrations Across the Enterprise
Build the operating model, enablement programs, and governance rituals that take LLM-powered chatbots from pilot to enterprise standard.
Measuring LLM Chatbot Integrations with Experiments
Design experiments, KPIs, and analytics loops that prove the value of LLM-enhanced chatbot platforms.
Securing LLM Chatbot Integrations with Policy Automation
Build a compliance and safety framework that keeps LLM-powered chatbots aligned with privacy rules, brand standards, and regional regulations.