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Building With AI Coworkers. How Small Teams Actually Use AI Daily in 2026
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- Nombre de pages206
- FormatePub
- ISBN978-3-565-59559-4
- EAN9783565595594
- Date de parution28/07/2026
- Protection num.pas de protection
- Taille840 Ko
- Infos supplémentairesepub
- ÉditeurEmphaloz Publishing House
Résumé
The promise of AI was simple: perfect, autonomous coworkers. The reality is a chaotic landscape of "Agentic Decay" and hallucinating systems. Why did the initial dream of prompt engineering fail so spectacularly?
"Building With AI Coworkers" moves beyond the hype of 2023 to reveal the hidden truth of AI integration. Author Maya Burke exposes why treating AI like a human employee is a recipe for disaster, leading to wasted time and costly errors.
The book dissects the core reasons why AI agents drift from their original instructions, often with bizarre and damaging results. The solution isn't better prompts; it's better systems. Drawing on real-world case studies, from Klarna's constrained customer service bots to a logistics manager's battered clipboard, this guide shows how successful small teams build deterministic guardrails around probabilistic AI.
It's a new playbook for managing a hybrid workforce of humans and machines. Discover how to leverage intentional friction, cultivate human taste as a competitive moat, and build a resilient business where AI handles the backend grunt work, while your team delivers the high-value human touch that clients crave.
The book dissects the core reasons why AI agents drift from their original instructions, often with bizarre and damaging results. The solution isn't better prompts; it's better systems. Drawing on real-world case studies, from Klarna's constrained customer service bots to a logistics manager's battered clipboard, this guide shows how successful small teams build deterministic guardrails around probabilistic AI.
It's a new playbook for managing a hybrid workforce of humans and machines. Discover how to leverage intentional friction, cultivate human taste as a competitive moat, and build a resilient business where AI handles the backend grunt work, while your team delivers the high-value human touch that clients crave.
