Articles tagged “prompts”
5 articles
Context engineering for reliable CX agents
Context engineering is the discipline of deciding what information your AI agent sees, when it sees it, and how it's formatted. Here's how to apply it to production CX systems.
How to Write an Agent Spec Before You Write the Prompt
Inconsistent agent behavior isn't a prompt problem. It's a missing-spec problem. Here's the seven-section document that fixes it before code.
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.
Your Voice AI Platform Is Only Half the Stack
VAPI, Retell, and Bland handle voice orchestration. Memory, testing, prompt versioning, and tool integration? That's all on you. Here's what to build next.
From Analytics to Action: Turning Conversation Data Into Agent Improvements
Most teams collect call data and never use it. Learn how to close the loop from analytics to insight to prompt change to scorecard validation — and actually improve your AI agents.
Learn Agentic AI
Weekly. Patterns for shipping agents that work. MCP, scorecards, regression tests, prompts, model comparisons.
