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> ## Documentation Index
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> Use this file to discover all available pages before exploring further.

# I Wrote My First Book: AI Models Handbook for Developers (2026)

**[Vijay Deepak](https://daily.dev/sources/9wh1sparmtebvcgg5ww6b)** · [@vijay_deepak](https://daily.dev/vijay_deepak) · 2 min read · 1 upvotes · 0 comments

## Summary

A developer announces a self-published 595-page, 15-chapter handbook covering how to choose among AI models — foundation models, coding models, image/video/audio generation, fine-tuning, RAG, self-hosted models, and agents — built around a practical model-selection framework rather than ranking models as 'best'. The digital edition is free for newsletter subscribers, with a paperback also sold on Amazon.

## Content

The AI model landscape is moving incredibly fast. New models, new versions, new capabilities, and new use cases appear constantly. For developers, one question keeps getting harder to answer:

**_Which AI model should I actually use?_**

After spending months exploring and writing about AI models, I decided to bring everything together into one practical resource:

## **📘 AI Models Handbook for Developers — 2026 Edition**

**595 pages. 15 chapters. One goal: help developers understand, compare, and choose AI models.**

This isn’t meant to be another list of model names.

The handbook focuses on **how to think about AI models** and how different models fit different development problems. The final chapters build toward a practical model-selection framework rather than simply declaring one model the “best.”

## **What’s Inside?**

The handbook covers:

- **Foundation models**: Flagship, Workhorse and Lightweight models
- **Coding models** and AI-assisted software development
- **Image generation models**
- **Video generation models**
- **Music, voice and audio models**
- **Fine-tuning and customization**
- **RAG and enterprise AI**
- **Local and self-hosted models**
- **AI agents and tool use**
- **Multimodal and emerging models**
- **Practical model-selection frameworks**
- **Decision matrices and developer cheat sheets**

The handbook ultimately comes down to one idea:

**_Don’t choose the model first. Choose the problem first._**

For example, a simple high-volume task may need a lightweight model, while a complex architecture problem may justify a flagship model. The right choice depends on the workload, cost, latency, capabilities, deployment and consequences of failure.

## **🎁 Get the Digital Edition Free**

I decided to make the **digital edition completely free **for my subscribers.

👉 [**Subscribe & Get the Free Handbook**](https://vijayasekhar-deepak.beehiiv.com/subscribe)

You’ll also get future AI model updates, developer-focused AI content, interesting tools, and new editions of the handbook.

## **📕 Prefer a Physical Copy?**

The paperback edition is also available on Amazon KDP.

👉 [**Get the Paperback on Amazon**](https://www.amazon.com/dp/B0HG1H4RRV)

This is my first major handbook as an author, and I’m excited to finally share it with the developer community.

**Thank you for reading, supporting, and being part of the journey.**

— **Vijayasekhar Deepak**

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---

Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag)

[View this post on daily.dev](https://daily.dev/posts/i-wrote-my-first-book-ai-models-handbook-for-developers-2026--3zayototd)

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