Tech,
made crystal
clear.
Short, visual books on the AI tools and tech everyone is suddenly expected to understand. One tool or topic per book, read in an afternoon, whether you write code or not.
- 33
- titles
- 5,612
- pages
- 1,106
- diagrams drawn
- 644
- recipes you can run
- 2,957
- terms defined
- 1,370
- sources cited
The series
One tool per book. One weekend per book.
Tools
29 titles
Jev
A practical, visual guide to building software that makes fast, typed, calibrated decisions with TypeSafe's System One model
Available
Supabase
A practical, visual guide to building your backend on Postgres, Auth, Storage, Edge Functions, and Realtime with Supabase
Available
Zernio
A practical, visual guide to building posting, inboxes, and messaging into your product with one social API
Available
Make.com
A practical, visual guide to automating your work with no-code scenarios, from your first webhook to AI agents and paying clients
Available
OpenAI Codex
A practical, visual guide to delegating real coding work to OpenAI's software engineering agent
Available
Hugging Face
A practical, visual guide to finding, running and shipping open AI models, datasets and apps
Available
Modal
A practical, visual guide to running Python, GPUs and AI workloads in the cloud, paying only while your code runs
Available
Lovable
A practical, visual guide to building and shipping real apps by describing them
Available
Vapi
A practical, visual guide to building voice AI agents that answer the phone
Available
n8n
A practical, visual guide to workflow automation, from first node to paid work
Available
ElevenLabs
A practical, visual guide to AI voice: text to speech, agents, dubbing, and the ElevenLabs API
Available
Claude Code
A practical, visual guide to agentic coding in your terminal with Claude Code
Available
Git
A practical, visual guide to version control with Git
Available
Kimi Code
A practical, visual guide to agentic coding with Kimi Code from Moonshot AI
Available
Hermes Agent
A practical, visual guide to running a self-hosted AI agent with memory, skills, and cron
Available
GitHub
A practical, visual guide to hosting code, reviewing pull requests, and shipping software
Available
Docker
A practical, visual guide to building, shipping, and running containers
Available
Qwen
A practical, visual guide to Alibaba's open model family for chat, code, and vision
Available
Llama
A practical, visual guide to Meta's open-weight models, from first download to production
Available
DeepSeek
A practical, visual guide to DeepSeek's reasoning models, API, and running them yourself
Available
OpenRouter
A practical, visual guide to reaching hundreds of AI models through one API key
Available
GLM
A practical, visual guide to Z.ai's GLM models for agents, coding, and real work
Available
Gemini
A practical, visual guide to choosing, calling, and paying for Google's Gemini models
Available
Mistral
A practical, visual guide to Europe's AI lab, from Le Chat to open models in production
Available
OpenClaw
A practical, visual guide to running your own AI assistant, safely, on hardware you control
Available
Grok Bot
A practical, visual guide to putting always-on AI agents to work on their own computers
Available
Vercel
A practical, visual guide to shipping, caching, and paying for web apps on the platform that hosts Next.js
Available
Fly.io
A practical, visual guide to running real apps close to your users, and knowing what it costs
Available
Cursor
A practical, visual guide to writing, reviewing, and shipping real code with an AI editor
AvailableTopics
4 titles
AI Video
A practical, visual guide to generating, editing, and publishing video with AI
Available
AI Agents
A practical, visual guide to building agents that survive real users
Available
Tech Hiring
A practical, visual guide to finding, verifying, and keeping technical talent in the AI era
AvailableAI
A practical, visual guide to AI concepts for leaders and curious minds, no code required
AvailableStand Alone
1 titleA separate book outside the Made Crystal Clear tech series.
Christophe Paka
Christophe Paka is a self-taught developer and digital nomad with a deep passion for technology. He works at the intersection of building and hiring, as a technologist who recruits technologists rather than a recruiter who happens to work in tech.
His YouTube channel on careers and jobs in tech has passed 700,000 views. He created Made Crystal Clear to teach established and emerging technologies to more people, in a straightforward, visual format that gets to the point. He is always open to connecting with startup ecosystems across America, Europe, Asia, and Africa.
- Self-taught developer
- 700K-view YouTube channel
- Digital nomad
For teams
AI moves faster than your team can read. Keep everyone current.
One licence puts every book on one page for everyone at your company.
No accounts, no seats to count, no signup for your people.
Team
Up to 25 people
$250 / year
Company
26 to 200 people
$500 / year
Enterprise
201 to 1,000 people
$1,000 / year
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