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Synopsis
A systematic, self-contained guide to LLM-powered AI agents, ordered the way the field should be learned: theory first, then core capabilities one at a time, then a from-scratch build, then production concerns.
You will learn what separates a workflow from an agent (and when each wins), the ReAct reasoning-and-acting loop every modern agent descends from, how tool calling actually works on the wire, planning and self-correction (Tree of Thoughts, Reflexion), short- and long-term memory including why naive RAG often fails, multi-agent orchestration with honest cost math, and production evaluation, observability, and guardrails.
The centerpiece is a weekend project: a complete minimal agent in pure Python, no frameworks, followed by a failure-mode lab where you break it on purpose: infinite loops, hallucinated tool calls, context bloat, and error compounding. Every code listing runs offline and is under a hundred lines.
Distilled from the field's primary sources, including the research canon (ReAct, Tree of Thoughts, Reflexion, Generative Agents) and production engineering accounts, and closed by a history of the field, a glossary, and a full bibliography. No survey filler. No framework dependency. Just the mechanics every agent is built from.
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AI Agents from Scratch (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. A systematic, self-contained guide to LLM-powered AI agents, ordered the way the field should be learned: theory first, then core capabilities one at a time, then a from-scratch build, then production concerns. You will learn what separates a workflow from an agent (and when each wins), the ReAct reasoning-and-acting loop every modern agent descends from, how tool calling actually works on the wire, planning and self-correction (Tree of Thoughts, Reflexion), short- and long-term memory including why naive RAG often fails, multi-agent orchestration with honest cost math, and production evaluation, observability, and guardrails. The centerpiece is a weekend project: a complete minimal agent in pure Python, no frameworks, followed by a failure-mode lab where you break it on purpose: infinite loops, hallucinated tool calls, context bloat, and error compounding. Every code listing runs offline and is under a hundred lines. Distilled from the field's primary sources, including the research canon (ReAct, Tree of Thoughts, Reflexion, Generative Agents) and production engineering accounts, and closed by a history of the field, a glossary, and a full bibliography. No survey filler. No framework dependency. Just the mechanics every agent is built from. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798185648049
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AI Agents from Scratch
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798185648049
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AI Agents from Scratch: A Systematic Path from Theory to Working Systems
Print on DemandSeller: California Books, Miami, FL, U.S.A.
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Condition: New. Print on Demand. Seller Inventory # I-9798185648049
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AI Agents from Scratch
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798185648049
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AI Agents from Scratch (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. A systematic, self-contained guide to LLM-powered AI agents, ordered the way the field should be learned: theory first, then core capabilities one at a time, then a from-scratch build, then production concerns. You will learn what separates a workflow from an agent (and when each wins), the ReAct reasoning-and-acting loop every modern agent descends from, how tool calling actually works on the wire, planning and self-correction (Tree of Thoughts, Reflexion), short- and long-term memory including why naive RAG often fails, multi-agent orchestration with honest cost math, and production evaluation, observability, and guardrails. The centerpiece is a weekend project: a complete minimal agent in pure Python, no frameworks, followed by a failure-mode lab where you break it on purpose: infinite loops, hallucinated tool calls, context bloat, and error compounding. Every code listing runs offline and is under a hundred lines. Distilled from the field's primary sources, including the research canon (ReAct, Tree of Thoughts, Reflexion, Generative Agents) and production engineering accounts, and closed by a history of the field, a glossary, and a full bibliography. No survey filler. No framework dependency. Just the mechanics every agent is built from. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798185648049
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