Designing Reliable Agent Workflows
Architecting multi-step customer journeys, graceful error recovery, and 1-click human escalations when sentiment or transaction complexity requires human oversight.
Reliability in autonomous systems is not about achieving 100% automated resolution. It is about knowing when to automate, when to ask for clarification, and when to safely hand off to a human team member.
Setting Up Human Escalation
In AgentFlow's unified Inbox, every conversation is evaluated in real time: - Sentiment analysis detects frustrated customer phrasing. - Fallback triggers activate when confidence scores dip below acceptable thresholds. - Team members can take over the conversation with one click, preserving full conversation history and citation traces.
Building Your First AI Agent: From Blank Canvas to Production
A practical, step-by-step walkthrough of building an autonomous agent in AgentFlow. Learn how to connect vector knowledge bases, register action tools with strict parameter schemas, and test responses in a live sandbox before deploying across channels.
How to Ground Agents With Your Own Knowledge
Why naive RAG fails in production and how token chunking, cosine thresholding, and verifiable source citations eliminate conversational hallucinations.