Agent Architecture Articles
53 articles · Page 2 of 5
When your agent spends money: the A2A payments era
The A2A Agent Payments Protocol (AP2) lets AI agents initiate transactions autonomously. Here's what CX builders need to know: the use cases, the controls that make it safe, and how to keep spending observable alongside conversation quality.
The delegation gap: what you can hand off to your agent
Anthropic's 2026 report found teams use AI in 60% of work but fully delegate only 0-20%. The same gap hits CX teams. Here's a framework for closing it.
Prompt caching: the cost cut most agent teams skip
Prompt caching cuts API costs 41-80% and TTFT by up to 31%. Learn where to put the cache breakpoint, when it backfires, and how to monitor hit rates in production.
Enforcing runtime policies on production CX agents
Guardrails filter what your agent says. Runtime policies constrain what it's allowed to do. Here's why that distinction matters and how to build an enforcement layer your LLM can't override.
Design agent tools that won't double-charge on retry
Agents retry when tools fail. Without idempotency, retries create duplicate records, double charges, and corrupted state. Here's the engineering pattern that makes every mutating tool safe to retry.
Five things your CX agent needs that its framework won't provide
LLM frameworks handle conversations. They don't handle memory, tool reliability, pre-production testing, or observability. Here's what every production CX agent actually needs.
Build agents that fix themselves when they fail
Most agents fail silently in production. Self-healing agents detect their own failures, classify what went wrong, and take a different path rather than retrying blindly.
When voice becomes chat: carrying context across channels
When a customer switches from a call to chat, your AI agent loses everything it learned on the phone -- unless you package and transfer context deliberately. Here's how to build channel context handoffs that actually work.
How to Build Ambient AI Agents for Always-On CX
Most AI agents wait for prompts. Ambient agents watch event streams and act first. Here's how to build always-on CX intelligence that catches problems before customers notice them.
Managed Agents in 2026: Three Runtimes, Three Trade-Offs
Google, Anthropic, and OpenAI all shipped 'managed agents' in May 2026, and they mean completely different things. Here's what each runtime trades away for CX teams.
How to Build Agent Interrupt and Approval Checkpoints
How to pause an AI agent before high-stakes actions, persist full state through the approval window, and resume cleanly. Covers interrupt gates, approval queues, checkpointing, and EU AI Act compliance for production CX agents.
Structured Outputs: Make Your AI Agent Stop Guessing
JSON mode isn't enough. Learn how constrained decoding, Zod schema validation, and validator-retry patterns cut agent parsing failures in production.
Learn Agentic AI
Weekly. Patterns for shipping agents that work. MCP, scorecards, regression tests, prompts, model comparisons.
