Items related to Build Your First AI Agent: From a Bare LLM Call to...
Build Your First AI Agent: From a Bare LLM Call to a Working Agent in Pure Python — the ReAct loop, tools, memory, guardrails, and evals, hand-built in ~400 lines (The AI Agent Series) - Softcover
Book 2 of 7: The AI Agent Series
Synopsis
Stop reading about agents. Build one — every line yourself.
This book takes you from a single bare call to a language model to a complete, working AI agent named Aria — built in plain Python, with one dependency, and no framework until you have built what frameworks automate. Every chapter is a lab; every listing runs; and everything works in a free offline mock mode, so you can learn the machinery before spending a cent on API calls.
You will build, run, and break with your own hands:
- The function-calling handshake — the load-bearing protocol of the entire agent field
- The complete ReAct agent loop in ~50 lines you can explain line by line
- Memory that survives restarts: session history, a durable scratchpad, and the context editor between them
- Production discipline: budgets, retries with backoff, and an honest stop reason on every run
- A 40-line graph runner that demystifies agent frameworks forever
- Guardrails: an approval gate on every write action, and validation that catches fluent nonsense
- A 20-task eval harness — the end of "seems better" development
- The final exam: shipping your agent to a real user, and turning what happens into verified improvement
Each chapter goes deeper than the build: a research lineage connecting your code to its ancestors (RPC and Toolformer behind the handshake, watchdog timers and Erlang behind the hardened loop, Bartlett and context engineering behind memory, TDD and Goodhart behind evals), a production failure catalog for the component you just built, a worked professional section — budget tuning, a written autonomy plan for Aria, an annotated first-user week — and five hands-on exercises, plus six capstone builds and a further-reading appendix.
Who it's for: anyone with basic Python. Book 1 of the series (AI Agents Demystified) helps but is not required.
The AI Agent Series takes readers from first contact to professional mastery across seven volumes. This is Book 2: your hands on the parts.
"synopsis" may belong to another edition of this title.
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Build Your First AI Agent (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condition: new. Paperback. Stop reading about agents. Build one - every line yourself.This book takes you from a single bare call to a language model to a complete, working AI agent named Aria - built in plain Python, with one dependency, and no framework until you have built what frameworks automate. Every chapter is a lab; every listing runs; and everything works in a free offline mock mode, so you can learn the machinery before spending a cent on API calls.You will build, run, and break with your own hands: The function-calling handshake - the load-bearing protocol of the entire agent fieldThe complete ReAct agent loop in 50 lines you can explain line by lineMemory that survives restarts: session history, a durable scratchpad, and the context editor between themProduction discipline: budgets, retries with backoff, and an honest stop reason on every runA 40-line graph runner that demystifies agent frameworks foreverGuardrails: an approval gate on every write action, and validation that catches fluent nonsenseA 20-task eval harness - the end of "seems better" developmentThe final exam: shipping your agent to a real user, and turning what happens into verified improvement Each chapter goes deeper than the build: a research lineage connecting your code to its ancestors (RPC and Toolformer behind the handshake, watchdog timers and Erlang behind the hardened loop, Bartlett and context engineering behind memory, TDD and Goodhart behind evals), a production failure catalog for the component you just built, a worked professional section - budget tuning, a written autonomy plan for Aria, an annotated first-user week - and five hands-on exercises, plus six capstone builds and a further-reading appendix.Who it's for: anyone with basic Python. Book 1 of the series (AI Agents Demystified) helps but is not required.The AI Agent Series takes readers from first contact to professional mastery across seven volumes. This is Book 2: your hands on the parts. 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 # 9798171344580
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Build Your First AI Agent
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798171344580
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Build Your First AI Agent
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798171344580
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Build Your First AI Agent : From a Bare LLM Call to a Working Agent in Pure Python - the ReAct loop, tools, memory, guardrails, and evals, hand-built in ~400 lines
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Taschenbuch. Condition: Neu. Neuware. Seller Inventory # 9798171344580
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Build Your First AI Agent (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Stop reading about agents. Build one - every line yourself.This book takes you from a single bare call to a language model to a complete, working AI agent named Aria - built in plain Python, with one dependency, and no framework until you have built what frameworks automate. Every chapter is a lab; every listing runs; and everything works in a free offline mock mode, so you can learn the machinery before spending a cent on API calls.You will build, run, and break with your own hands: The function-calling handshake - the load-bearing protocol of the entire agent fieldThe complete ReAct agent loop in 50 lines you can explain line by lineMemory that survives restarts: session history, a durable scratchpad, and the context editor between themProduction discipline: budgets, retries with backoff, and an honest stop reason on every runA 40-line graph runner that demystifies agent frameworks foreverGuardrails: an approval gate on every write action, and validation that catches fluent nonsenseA 20-task eval harness - the end of "seems better" developmentThe final exam: shipping your agent to a real user, and turning what happens into verified improvement Each chapter goes deeper than the build: a research lineage connecting your code to its ancestors (RPC and Toolformer behind the handshake, watchdog timers and Erlang behind the hardened loop, Bartlett and context engineering behind memory, TDD and Goodhart behind evals), a production failure catalog for the component you just built, a worked professional section - budget tuning, a written autonomy plan for Aria, an annotated first-user week - and five hands-on exercises, plus six capstone builds and a further-reading appendix.Who it's for: anyone with basic Python. Book 1 of the series (AI Agents Demystified) helps but is not required.The AI Agent Series takes readers from first contact to professional mastery across seven volumes. This is Book 2: your hands on the parts. 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 # 9798171344580
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