Agent Operating Procedures

25 posts · 1 source

DecagonBlog4w

DuetBench-2: Measuring agent self-improvement in production

DecagonBlog19 Aug

How conversational AI components work together in customer service

DecagonBlog6 Aug

"Agent, agent, agent": designing conversations to reduce barge

DecagonBlog9 Jul

Agent Operating Procedures: From Manual SOPs to Automated AI Logic

DecagonBlog9 Jun

What is real-time customer support and how to get it right

DecagonBlog9 Jun

Introducing Duet Autopilot: The self-improving agent for conversational AI

DecagonBlog9 Jun

DuetBench: An evaluation of self-improving customer service agents

DecagonBlog14 May

Introducing Guided Discovery: Finding the right recommendation for every customer

DecagonBlog23 Apr

Introducing automatic optimization and Root Cause Analysis

DecagonBlog18 Apr

AOP Copilot: Your AI assistant for building and optimizing AOPs

DecagonBlog2 Apr

Why we built Decagon Duet on Agent Operating Procedures

DecagonBlog19 Mar

Introducing Duet: Your agent building partner

DecagonBlog23 Feb

Introducing Decagon’s experimentation & A/B testing suite

DecagonBlog23 Feb

Climb higher: Introducing Diagnostic Tools for faster agent iteration

DecagonBlog23 Feb

Trace View: AI agents shouldn’t be black boxes

DecagonBlog23 Feb

Agent Operating Procedures: Decagon’s approach to AI agents for CX

DecagonBlog23 Feb

AI customer service automation: Ticket routing, response generation, and 24/7 support

DecagonBlog23 Feb

What AI customer support agents actually do and how they transform support

DecagonBlog23 Feb

The case for a unified, transparent platform in conversational AI

DecagonBlog23 Feb

The future of AI agents is test-driven