---
title: "Build AI Agents That Don’t Feel a Step Behind"
id: "95460"
type: "resource"
slug: "build-ai-agents-that-dont-feel-a-step-behind"
published_at: "2026-08-01T11:55:03+00:00"
modified_at: "2026-08-01T11:55:43+00:00"
url: "https://tealium.com/resource/ebook/build-ai-agents-that-dont-feel-a-step-behind/"
markdown_url: "https://tealium.com/resource/ebook/build-ai-agents-that-dont-feel-a-step-behind.md"
taxonomy_resource_type:
  - "eBook"
taxonomy_product:
  - "Tealium for AI"
taxonomy_topic:
  - "Customer Data Platforms"
---

eBook

# Build AI Agents That Don't Feel a Step Behind

## A practical playbook for engineering and AI teams building retrieval-augmented generation systems on live customer data, covering architecture, retrieval stack selection, real-time sync, and privacy controls.

## What's inside the playbook

#### ### You'll learn: Vector databases loaded last Tuesday can answer questions about last Tuesday, but customer-facing RAG needs retrieval that reflects who a person is right now. This playbook covers the architecture, retrieval stack, real-time sync patterns, privacy controls, and evaluation frameworks production teams are using to close that gap, with every recommendation grounded in enterprise deployments and current benchmarks. - How to set SLAs for retrieval latency, data freshness, and accuracy before you pick tools - Inventory and normalization patterns for live customer data across CRM, support, behavioral, and transactional sources - Retrieval stack selection: when vector, keyword, or hybrid search fits, with current vector database benchmarks - Change data capture and incremental indexing patterns that move source system updates to a retrievable index in seconds - Structured context injection through the Model Context Protocol (MCP), with field-level redaction, schema validation, and audit logging - Evaluation frameworks like RAGAS, plus the retrieval, generation, and business metrics that actually matter - A phased rollout blueprint drawn from production deployments at DoorDash, LinkedIn, and enterprise banking - Re-ranking and knowledge graph techniques for scaling accuracy on complex, multi-domain queries

## Featured Resources

[Video From Data Layer to Context Orchestration: Tealium’s 2026 Innovation Roadmap Learn More](https://tealium.com/resource/video/2026-innovation-roadmap/)
[Webinar Data Layer Sessions: How to Plan for an Enterprise Data Layer for 2026 with Nick Albertini Learn More](https://tealium.com/resource/webinar/data-layer-sessions-how-to-plan-for-an-enterprise-data-layer-for-2026-with-nick-albertini/)
[eBook Top Use Cases from Digital Velocity London 2026 Learn More](https://tealium.com/resource/ebook/dv-emea-2026-use-cases/)