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Agentic Debt The Infrastructure Crisis Behind Autonomous AI Systems [#990248]
Free Download Agentic Debt: The Infrastructure Crisis Behind Autonomous AI Systems: The Complete Guide to Critical Infrastructure Gaps in Autonomous Agent Deployment
by David Cooper
English | 2025 | ASIN: B0GCM9NXBF | 505 pages | pdf | 158 MB
Are you deploying autonomous AI agents in production?
You're walking into a minefield of infrastructure failures
that could cost your organization $47,000+ per incident.
"Agentic Debt" reveals the 15 critical infrastructure gaps
causing catastrophic failures in autonomous agent deployments
across enterprises worldwide. Written by CCIE #14019 David Cooper,
this is the FIRST comprehensive guide to infrastructure challenges
that emerge when AI agents operate at scale.
WHAT YOU'LL LEARN:
- Why Arbitrum Stylus gas estimation traps can bankrupt
your agent operations (Chapter 11)
- How EigenLayer's 14-day withdrawal lock-in creates
liquidity nightmares during slashing events (Chapter 12)
- The silent AA paymaster failures draining your gas
budgets without error messages (Chapter 13)
- Why RWA mainframe integration creates 9.4-second
legal liability windows (Chapter 14)
- How Sovereign AI agents can attack your localhost
infrastructure from within (Chapter 15)
- Building verification layers for accountable agents
using ZK proofs + TEE attestation (Chapter 16)
- 30/60/90 day prioritization framework for systematic
gap remediation (Chapter 17)
Plus 10 more critical infrastructure gaps across identity,
DePIN, mesh networks, and high-performance blockchains.
PRODUCTION-READY SOLUTIONS included: Real code examples,
diagnostic checklists, mitigation strategies, and economic
impact calculators.
Stop learning infrastructure lessons the expensive way.
Get "Agentic Debt" today and save your organization millions.
eBook Details:
Title: Agentic Debt: The Infrastructure Crisis Behind Autonomous AI Systems: The Complete Guide to Critical Infrastructure Gaps in Autonomous Agent Deployment
Author: David Cooper
Language: English
Year: 2025
ASIN: B0GCM9NXBF
Total pages: 505
Format: pdf
Size: 158 MB
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