Agentic AI Implementation Playbook

Agentic RAG systems combine: ●       Reasoning models  ●       Retrieval systems ●       Tool use...

Control > Convenience: Explicit systems outperform hidden automation. Context > Prompting: Prompt...

Agentic systems are AI systems that can: ●       Maintain internal state ●       Plan and decompo...

The diagram presents AI as a progression of interconnected layers, from traditional rule-based s...

The AI Factory Stack illustrates the key components required to transform a general-purpos...

The Modern AI Ecosystem – Tools diagram presents the modern AI landscape as a collection of i...

NEW IN 2026  Harness engineering emerged through 2026 as a distinct discipline, formalized in sur...

Six Harness Components ●       State and persistence — durable memory and workflow checkpoints ac...

Large Action Models (LAMs) Models designed to reason about actions, workflows, and consequences. ...

Layer Recommended Options LLMs LLaMA 4, Qwen 3, Mixtral, DeepSeek Fast Inference...

Layer Choice API FastAPI Agent Framework LlamaIndex Workflow LlamaIndex...

1. User Request The process begins when a user submits a request to the AI system. This request ...

Many failures are context failures, not model failures. This remains true, and is now the organiz...

NEW IN 2026  Agent memory matured from "pick a vector database" into a benchmarked production dis...

Traditional RAG: retrieve → answer Modern Agentic RAG: retrieve → compare sources → detect confli...

Use standardized tool interfaces where possible. MCP is now the dominant standard for this layer,...

Agent Skills Layer  NEW IN 2026  Skills are an emerging complement to MCP tools: composed, reusab...

1. Agent Wants an Action The process begins when the AI agent determines that it needs to perfor...

Threats ●       Prompt injection ●       Tool injection ●       Retrieval poisoning ●       Memor...

When failures occur: ●       Retry ●       Alternate tool ●       Re-plan task ●       Ask clarif...

Track every step. Required Telemetry ●       User request ●       Context loaded ●       Retrieve...

Test continuously in simulation. Benchmark Categories ●       Multi-step tasks ●       Tool calli...

Use role-based agents instead of one omnipotent agent. Agent Responsibility Planner ...

 What to Use When Scenario When to use Highest transparency ReAct + logs Fastest...

Before Launch ●       Secrets in vault ●       Rate limiting ●       Retry logic ●       Queueing...

Build in This Order ●       Single agent + retrieval ●       Add memory (start with Pattern B — r...