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your own hardware.

Get a free chapter of The Local AI Agent Playbook β€” practical setup guides for Ollama, LM Studio, and building your first AI agent. No cloud. No API bills.

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βœ“ 100% private β€” no cloud βœ“ Working code included βœ“ 15-page PDF

15 pages of practical local AI setup

Chapter 1

Why Local AI in 2026

The real cost analysis β€” privacy, latency, and total cost of ownership vs. cloud AI subscriptions. When local wins and when it doesn't.

Chapter 2

Choosing Your Stack

Ollama vs. LM Studio vs. llama.cpp β€” the honest trade-offs. Which setup is right for your hardware and use case.

Chapter 3

Model Selection Guide

Which model to run for coding, writing, analysis, and reasoning. Size vs. quality vs. speed β€” practical recommendations by RAM tier.

Chapter 4

Your First Local Agent

30-line Python agent with file tools and memory. Working code you can run today on any laptop with 8GB RAM or more.

Chapter 5

Common Pitfalls

The 7 mistakes that slow down every beginner β€” context window errors, quantization choices, and memory leaks. How to avoid all of them.

Bonus

Hardware Buying Guide

Best hardware at each budget tier in 2026. From MacBook Air to Mac Studio β€” exactly which models to target and why Apple Silicon dominates.

What people say

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"Set up Ollama in 20 minutes after struggling with it for a week. The model selection guide alone was worth it."

β€” ML engineer, Berlin
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"Finally got a local RAG pipeline working on my M2 MacBook. The pitfalls chapter saved me hours of debugging."

β€” Indie developer, Austin
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"Cut my AI API spend to zero. Running Qwen2.5 locally for all my coding tasks β€” faster than GPT-4 for most things."

β€” Freelance developer, London

Start running local AI today.

No credit card. No cloud account. No monthly bill. Just your hardware and working code.

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