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Agentic AI Systems Engineering: Planning, Tool Use, Memory, Verification, and Reliable Autonomous Workflows
Paperback
Business GeneralGeneral ComputersProgramming
Publisher: Independently Published
Published: Sep 20 2026
Pages: 88
Weight: 0.28
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
- Tool use and external actions: call boundaries, strict schemas, scoped permissions, untrusted results
- Memory and persistent state: working memory, durable facts, measured retrieval, bounded summarization
- Verification and self-checking: output validation, genuinely independent cross-checks, domain constraints
- Workflow reliability: classified retries, measured timeouts, idempotent writes, designed recovery
- Human oversight and escalation: meaningful approval gates, checkable exception criteria, informative handoffs
- Security and permission boundaries: phase-scoped privilege, tool-layer credentials, sandboxing, audit logs
- Observability and evaluation: decision-level traces, outcome-based success, actionable failure taxonomies
- Cost and latency management: per-run attribution, per-step model selection, caching, latency budgets
- Multi-agent coordination: justified decomposition, message contracts, partitioned state, global termination
- Testing agentic systems: deterministic harnesses, adversarial inputs, failure-mode coverage
- Production agentic platforms: bundled deployment, model version pinning, layered cost limits
- Interaction and progress design: plan-derived progress, streaming, interruption, scope communication Every section pairs the concept with the trade-off that makes it a real engineering decision, the pitfall teams most often hit, and a short set of practical checks. Each chapter closes with a worked scenario showing how these decisions interact under real pressure. Five appendices cover architectural comparisons, a four-level agent maturity model, a failure-mode reference organized by symptom, adoption sequencing, and common questions. Written for engineers building AI agents, copilots, and autonomous workflows in production.
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