Knowledge library
Learn the systems behind capable agents.
34 MDX guides across 4 tracks, including 6 flagship field manuals with implementation blueprints, reusable artifacts, operational scorecards, and failure drills.
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34 guides
Track 01
Foundations
- FoundationsBeginnerWhat Is Agentic AI?A practical introduction to AI systems that pursue goals, use tools, adapt their path, and operate within explicit limits.Read guide →
- FoundationsBeginnerAI Agents vs Workflows: What Is the Difference?How fixed automation, model-powered workflows, and autonomous agents differ in control and reliability.Read guide →
- FoundationsBeginnerThe Agent Loop: Observe, Decide, Act, RepeatThe control cycle behind most tool-using AI agents, from initial goal to a verified stopping point.Read guide →
- FoundationsBeginnerThe Role of Models in Agent SystemsWhat the language model contributes—and what must be handled by the surrounding application.Read guide →
- FoundationsBeginnerTools and Function Calling for AI AgentsHow agents move beyond text by invoking APIs, databases, browsers, and application functions.Read guide →
- FoundationsBeginnerAgent Memory ExplainedThe difference between working context, durable memory, retrieval, and application state.Read guide →
- FoundationsBeginnerPlanning and Reasoning in AI AgentsWhen agents need explicit plans, how plans change, and why execution feedback matters more than elegant reasoning.Read guide →
- FoundationsBeginnerLevels of Agent AutonomyA practical spectrum from suggestions to supervised actions and bounded autonomous execution.Read guide →
Track 02
Building Agents
- Building AgentsIntermediateBuild Your First Tool-Using AgentA framework-neutral implementation path from one verifiable job to a controlled agent loop with a typed tool and trajectory tests.Read guide →
- Building AgentsIntermediateHow to Write an Agent System PromptDesign instructions that define purpose, boundaries, tool behavior, and escalation without becoming brittle.Read guide →
- Building AgentsIntermediateDesigning Tools That Agents Can Use ReliablyPrinciples for tool names, parameters, responses, errors, idempotency, and safe execution.Read guide →Flagship · blueprint + artifact + scorecard
- Building AgentsIntermediateStructured Outputs for Agent SystemsWhy typed responses make routing, validation, storage, and user interfaces more dependable.Read guide →
- Building AgentsIntermediateRetrieval-Augmented AgentsHow agents search private knowledge, decide what to retrieve, and ground answers in evidence.Read guide →
- Building AgentsIntermediateHuman-in-the-Loop Patterns for AI AgentsWhere approval, review, correction, and escalation create the most value in agent workflows.Read guide →
- Building AgentsIntermediateMulti-Agent Systems ExplainedWhen specialized agents help, how they coordinate, and why more agents do not automatically mean better results.Read guide →
- Building AgentsIntermediateState Machines for Agent WorkflowsCombining model judgment with explicit workflow states, transitions, and recovery paths.Read guide →
- Building AgentsIntermediateDesigning Long-Running AgentsPatterns for durable tasks that span minutes, hours, approvals, retries, and changing external state.Read guide →
Track 03
Evaluation & Operations
- Evaluation & OperationsAdvancedHow to Evaluate AI AgentsMeasure task success, tool behavior, evidence quality, safety, cost, and consistency across full trajectories.Read guide →Flagship · blueprint + artifact + scorecard
- Evaluation & OperationsAdvancedBuilding Golden Datasets for Agent EvaluationCreate representative tasks, expected outcomes, and edge cases that reveal meaningful regressions.Read guide →
- Evaluation & OperationsAdvancedAgent Tracing and ObservabilityWhat to record across prompts, model decisions, tool calls, state changes, approvals, and outcomes.Read guide →Flagship · blueprint + artifact + scorecard
- Evaluation & OperationsAdvancedCommon AI Agent Failure ModesAn operational guide to loops, premature success, bad tool calls, stale state, weak evidence, and silent escalation failures.Read guide →
- Evaluation & OperationsAdvancedPrompt Injection and Agent SecurityWhy untrusted content can redirect agents and how layered controls protect tools, data, and users.Read guide →Flagship · blueprint + artifact + scorecard
- Evaluation & OperationsAdvancedPermissions and Sandboxing for AI AgentsApply least privilege, scoped credentials, isolation, and approval boundaries to agent actions.Read guide →
- Evaluation & OperationsAdvancedManaging Agent Cost and LatencyControl model calls, context growth, tool delays, retries, and quality tradeoffs in multi-step systems.Read guide →
- Evaluation & OperationsAdvancedData Privacy for Agentic AI SystemsMinimize sensitive context, control retention, isolate tenants, and make agent data flows understandable.Read guide →
- Evaluation & OperationsAdvancedProduction Readiness Checklist for AI AgentsA practical sequence for validating scope, quality, security, operations, and rollback before launch.Read guide →Flagship · blueprint + artifact + scorecard
Track 04
Product & Strategy
- Product & StrategyIntermediateHow to Choose a Good Agentic AI Use CaseFind work where adaptive decisions create value and errors remain detectable, recoverable, and bounded.Read guide →Flagship · blueprint + artifact + scorecard
- Product & StrategyIntermediateBuild vs Buy for Agent PlatformsDecide what to own across models, orchestration, tools, memory, evaluation, observability, and governance.Read guide →
- Product & StrategyIntermediateDesigning User Experiences for AI AgentsMake goals, progress, evidence, approvals, uncertainty, and control understandable to users.Read guide →
- Product & StrategyIntermediateA Practical Governance Framework for AI AgentsAssign ownership and controls based on capabilities, data access, action impact, and evidence of reliability.Read guide →
- Product & StrategyIntermediateAgent Protocols and InteroperabilityHow shared conventions can connect models to tools, context, services, and other agents without erasing trust boundaries.Read guide →
- Product & StrategyIntermediateAgentic AI and the Future of WorkHow delegated software may reshape roles, coordination, management, and the value of human judgment.Read guide →
- Product & StrategyIntermediateAgentic Commerce ExplainedWhat changes when software can search, compare, negotiate, and transact on a user's behalf.Read guide →
- Product & StrategyIntermediateThe Agentic AI Research FrontierThe open problems shaping more capable, efficient, secure, and understandable autonomous systems.Read guide →