Complete Agentic AI Knowledge Library

Design, govern and operate production AI agents.

Explore the complete DataKnobs guide to Agentic AI: from strategy and architecture through context, memory, tools, security, evaluation, deployment, operations, reliability, learning and economics.

20Detailed topic guides
7Connected capability areas
200+Visual slides and frameworks
1End-to-end agent lifecycle
20 guides
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02 guides

Strategy & Lifecycle

Choose the right opportunities and establish the lifecycle used to move them from idea to production.

01Strategy & Lifecycle

Agent Strategy & Use Case Identification

Identify, score and prioritize agent opportunities using impact, feasibility, risk and roadmap criteria.

strategyuse casesprioritizationroadmap
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02Strategy & Lifecycle

Agentic Development Lifecycle

A visual closed-loop framework for planning, building, testing, deploying, operating and improving AI agents.

ADLClifecycledeliverycontinuous improvement
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03 guides

Architecture & Development

Design the core agent, reasoning behavior, prompts and runtime architecture.

03Architecture & Development

Agent Architecture Design

Design the reasoning, orchestration, memory, tool, observability and governance layers of production agents.

architecturelayersorchestrationplatform
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04Architecture & Development

Agent Development & Prompt Engineering

Create durable system prompts, tool-use rules, error recovery instructions and provider-aware agent behavior.

prompt engineeringsystem promptsdevelopmenttesting
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05Architecture & Development

Agent Planning & Reasoning

Compare ReAct, Reflexion, Tree of Thoughts, Plan-and-Execute, ReWOO and other reasoning patterns.

reasoningplanningReActReflexion
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04 guides

Knowledge, Memory & Tools

Connect the agent to context, memory, tools, systems and other specialist agents.

06Knowledge, Memory & Tools

Knowledge & Context Engineering

Engineer context budgets, retrieval, RAG, GraphRAG, compression, isolation and knowledge layers.

contextRAGGraphRAGretrieval
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07Knowledge, Memory & Tools

Agent Memory Design

Structure working, episodic, semantic and procedural memory with suitable storage and lifecycle controls.

memoryvector databaseepisodicsemantic
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08Knowledge, Memory & Tools

Tool & Function Integration

Connect agents to APIs and systems using function calling, MCP, secure schemas and scalable integration patterns.

toolsfunction callingMCPAPIs
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09Knowledge, Memory & Tools

Multi-Agent Systems

Choose orchestration patterns, coordinate specialist agents and manage multi-agent cost and complexity.

multi-agentcoordinationorchestrationspecialists
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04 guides

Governance, Risk & Safety

Control autonomy, protect systems, meet policy obligations and maintain accountable oversight.

10Governance, Risk & Safety

Human in the Loop

Design approval gates, escalation tiers, async review workflows and selective autonomy for high-risk actions.

HITLapproval gatesescalationoversight
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11Governance, Risk & Safety

Agent Governance

Define accountability, policies, evidence, controls and governance mechanisms across the agent lifecycle.

governanceaccountabilitypoliciescontrols
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12Governance, Risk & Safety

Agent Security

Protect against prompt injection, MCP risk, tool poisoning, memory attacks and privilege escalation.

securityprompt injectionMCPleast privilege
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13Governance, Risk & Safety

Agent Compliance & Risk

Map NIST AI RMF to agents, quantify risk, prepare for regulation and govern high-impact execution.

complianceNIST AI RMFinsurancerisk
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02 guides

Evaluation & Reliability

Prove that agents work correctly and continue working when tools, models or environments fail.

14Evaluation & Reliability

Agent Testing & Evaluation

Evaluate task completion, trajectories, components, LLM-as-judge results, regressions, cost and latency.

evaluationtrajectory scoringLLM as judgeregression
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15Evaluation & Reliability

Agent Reliability Engineering

Build retries, circuit breakers, fallbacks, dead-letter queues, idempotency and chaos experiments.

reliabilitycircuit breakerschaos testingidempotency
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03 guides

Deployment & Operations

Release, observe and operate agents continuously using production-grade controls.

16Deployment & Operations

Agent Deployment

Move agents safely into production with packaging, release controls, staged rollout and rollback planning.

deploymentreleaserolloutrollback
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17Deployment & Operations

Agent Observability

Trace model calls, tools, memory and multi-agent handoffs using OpenTelemetry-compatible observability.

observabilityOpenTelemetrytracingmonitoring
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18Deployment & Operations

Agent Operations

Run day-two operations with SLOs, incident response, on-call tiers, runbooks, capacity and cost controls.

AgentOpsSLOincident responserunbooks
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02 guides

Optimization & Economics

Improve agent capability while balancing cost, ROI, learning and operational efficiency.

19Optimization & Economics

Agent Learning & Adaptation

Improve agents through memory, fine-tuning, reinforcement learning, consolidation and skill evolution.

adaptationcontinual learningRLVRskills
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20Optimization & Economics

Agent Economics

Manage token economics, model routing, cost per verified outcome, ROI, TCO and AI FinOps.

economicsROIFinOpsmodel routing
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DataKnobs Agentic AI

Move from isolated demos to governed agent systems.

Use these guides as a connected blueprint for selecting use cases, designing the system, exposing the right controls, evaluating behavior and operating agents safely in production.

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