Marcus e wynn (7 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Your AI agent just spent four hours and $4,147 trying to refund a $19 subscription. It never escalated, never gave up - just kept retrying the same failing API call, burning tokens on confident reasoning traces that led nowhere.This is what production agent failures actually look like: not hallucinations or refusals, but confident, well-formatted infinite loops no one saw coming because the demos worked fine.Most engineers building AI agents today have never paid an LLM bill for an agent that ran thirty days under real load. The patterns that survive production traffic, vendor outages, cost reviews, and security audits aren't in research papers. They're in this book.THE SENIOR ENGINEER'S AI AGENT REFERENCE is a working catalogue of 40 production agent architectures that account for most agent deployments at scale - plus the 47 failure modes that knock them over, the observability substrates that catch failures early, and cost benchmarks for sober tradeoffs before quarterly reviews. INSIDE YOU'LL FIND: 40 production-ready agent patterns organized by problem - decision-loop agents, memory architectures, RAG agents, tool-use agents, supervisors, multi-agent collaboration, workflow orchestration, self-improving systems, and evaluation frameworks47 failure-mode codes (F01-F47) with diagnosis runbooks, remediation paths, and real incident patterns from financial services, healthcare technology, legal research, government contractors, and B2B SaaS at scaleCost and latency benchmarks for every pattern - per-invocation costs, p50/p95/p99 latency distributions, monthly burn rates at production load, and tradeoffs between accuracy, speed, and expenseObservability runbooks showing which metrics to track, alerts to set, traces to log, and how to instrument agents so you know what's happening before users tell you it's brokenSecurity hardening for agents taking real-world actions - prompt injection defenses, sandboxing strategies, audit trails, and compliance constraints for HIPAA, SOC 2, FedRAMP, and PCIReference implementations in Python for every pattern - actual code you'd write to make patterns work, with inline comments explaining the decisions that matterTHIS BOOK IS FOR THE ENGINEER who has to make the agent actually work- on actual infrastructure, against actual users, at actual cost. The staff or principal engineer who gets paged when agents misbehave, answers for costs at quarterly reviews, and defends design choices to security teams.If you're responsible for an agent that runs in production (not a demo), handles real queries or takes real-world actions, must pass security review or regulatory audit, and will be measured on uptime, accuracy, latency, and cost - this is the reference you need. BY THE TIME YOU FINISH THIS BOOK, YOU WILL KNOW: Which agent pattern fits your problem (and which patterns are theatre)How to instrument agents so failures are visible before they compoundWhat agents cost at 10K, 100K, and 1M requests/dayHow to design retry policies, idempotency guarantees, and escalation paths that don't burn moneyWhich security controls to layer on before agents touch production dataHow to evaluate accuracy without fooling yourself with correlated judges or contaminated test setsYour next production agent will either cost you a $4,000 incident or save you one. The difference is whether you're guessing at patterns or building from the forty that actually survive contact with real users, real load, and real money. This book is the cheapest insurance policy you'll buy this year- one retrofit to avoid a bad retry policy pays for it ten times over.Don't wait for the post-mortem. Get the reference. Build it right the Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Your AI agent just spent four hours and $4,147 trying to refund a $19 subscription. It never escalated, never gave up - just kept retrying the same failing API call, burning tokens on confident reasoning traces that led nowhere.This is what production agent failures actually look like: not hallucinations or refusals, but confident, well-formatted infinite loops no one saw coming because the demos worked fine.Most engineers building AI agents today have never paid an LLM bill for an agent that ran thirty days under real load. The patterns that survive production traffic, vendor outages, cost reviews, and security audits aren't in research papers. They're in this book.THE SENIOR ENGINEER'S AI AGENT REFERENCE is a working catalogue of 40 production agent architectures that account for most agent deployments at scale - plus the 47 failure modes that knock them over, the observability substrates that catch failures early, and cost benchmarks for sober tradeoffs before quarterly reviews. INSIDE YOU'LL FIND: 40 production-ready agent patterns organized by problem - decision-loop agents, memory architectures, RAG agents, tool-use agents, supervisors, multi-agent collaboration, workflow orchestration, self-improving systems, and evaluation frameworks47 failure-mode codes (F01-F47) with diagnosis runbooks, remediation paths, and real incident patterns from financial services, healthcare technology, legal research, government contractors, and B2B SaaS at scaleCost and latency benchmarks for every pattern - per-invocation costs, p50/p95/p99 latency distributions, monthly burn rates at production load, and tradeoffs between accuracy, speed, and expenseObservability runbooks showing which metrics to track, alerts to set, traces to log, and how to instrument agents so you know what's happening before users tell you it's brokenSecurity hardening for agents taking real-world actions - prompt injection defenses, sandboxing strategies, audit trails, and compliance constraints for HIPAA, SOC 2, FedRAMP, and PCIReference implementations in Python for every pattern - actual code you'd write to make patterns work, with inline comments explaining the decisions that matterTHIS BOOK IS FOR THE ENGINEER who has to make the agent actually work- on actual infrastructure, against actual users, at actual cost. The staff or principal engineer who gets paged when agents misbehave, answers for costs at quarterly reviews, and defends design choices to security teams.If you're responsible for an agent that runs in production (not a demo), handles real queries or takes real-world actions, must pass security review or regulatory audit, and will be measured on uptime, accuracy, latency, and cost - this is the reference you need. BY THE TIME YOU FINISH THIS BOOK, YOU WILL KNOW: Which agent pattern fits your problem (and which patterns are theatre)How to instrument agents so failures are visible before they compoundWhat agents cost at 10K, 100K, and 1M requests/dayHow to design retry policies, idempotency guarantees, and escalation paths that don't burn moneyWhich security controls to layer on before agents touch production dataHow to evaluate accuracy without fooling yourself with correlated judges or contaminated test setsYour next production agent will either cost you a $4,000 incident or save you one. The difference is whether you're guessing at patterns or building from the forty that actually survive contact with real users, real load, and real money. This book is the cheapest insurance policy you'll buy this year- one retrofit to avoid a bad retry policy pays for it ten times over.Don't wait for the post-mortem. Get the reference. Build Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. Neuware - You can build the thing. Can you run the project You can design the system, run the analysis, and verify the result. Then someone hands you a project - and overnight the job is schedules, budgets, stakeholders, risk, and a hundred decisions a week your engineering training never covered.This handbook is written for that engineer. It teaches project management the way an engineer learns best: as a system, with the parts shown to fit together rather than scattered as a list of tips.The organizing idea is that a well-run project is a control loop: - The baseline is the set point.- Earned value and the metrics are the sensor.- Variance analysis is the comparator.- The project manager and the governance are the controller.- The risks are the disturbances the loop exists to reject.If you already think in control systems, tolerances, interfaces, and verification, you are most of the way there - you mainly need to transpose those habits and learn the human and organizational dimensions your degree skipped.What makes this handbook different- Every formula is worked. Estimating mathematics, critical-path forward and backward passes, earned-value calculations, three-point estimates, decision trees, and quantitative risk analysis appear as calculations carried through on real numbers - so you follow the method and check your own work, instead of memorizing a formula you never see applied.- One project runs through the entire book. A single capital project threads from the first planning chapter to the last, its numbers consistent across all 38 chapters. Four further case studies - a compressed-schedule launch, a fixed-price dispute, a hybrid hardware-and-firmware program, and a recovery - put the principles under different kinds of pressure.- It is honest about the hard parts. The silent quality trade. The optimism that underestimates every project. The dashboard that reports green while the project slides. The project that should be stopped but isn't. This book names those failure patterns and shows the disciplines that prevent them.Inside, you will find- The work breakdown structure, estimating, and critical-path scheduling- Budgeting, earned value, and cost control- Risk identification, analysis, and response- Execution, monitoring, change control, and quality- Leading a team you don't control, communication, and negotiation- Procurement and contracts- Agile, hybrid delivery, and AI-assisted project work- Programs, portfolios, recovery, and closeoutA full appendix set adds templates, a formula reference card, a schedule-quality checklist, calibration worksheets, a meeting-cadence pack, a glossary, and worked solutions.Run your next project like the engineer you already areThe next project you are handed will not wait while you learn this on the job. Put a complete project-management system on your desk before you need it - get your copy of The Engineering Project Management Handbook today.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.