What Is AI, Really?

Every field of AI, with a copy-paste prompt template and an output checklist you can run through before you ship.

💬

Field

Chat & Reasoning

8 tools

General-purpose assistants for writing, thinking, and coding help.

ChatGPTClaudeGeminiGrokPerplexityDeepSeekNotebookLMManus

Prompt template

You are my [role]. Before answering, ask me 3 clarifying questions about goal, audience, and constraints. Then give a step-by-step plan with one worked example.

✅ Output checklist

• □Answer directly addresses my actual question (not a lecture)
• □Assumptions are stated, not hidden
• □Sources / links included when factual claims are made
• □No fabricated numbers, quotes, or citations

🎨

Field

Image Generation

5 tools

Turn text into artwork, photos, product shots, and mockups.

MidjourneyFluxIdeogramKreaRecraft

Prompt template

[subject], [action], [environment], [lighting], [camera/lens], [style], [color palette] — aspect ratio [16:9], --style raw

✅ Output checklist

• □Subject is recognizable and correctly placed
• □Hands, text, and logos aren't garbled
• □Lighting direction is consistent across frame
• □Aspect ratio matches where the image will be used

🎬

Field

Video Generation

7 tools

Text-to-video and image-to-video for shots, ads, and B-roll.

Seedance 2.0Veo 3RunwayHeyGenSoraKlingHiggsfield

Prompt template

[shot type] of [subject] [action], [environment], [camera movement], [duration]s, cinematic, 24fps, natural motion

✅ Output checklist

• □Motion is coherent (no morphing limbs or objects)
• □Camera move matches what you asked for
• □Duration and aspect ratio fit the target platform
• □Audio/voiceover added separately if needed

🎵

Field

Music & Sound

1 tools

Generate scores, jingles, and soundbeds from a text prompt.

Suno

Prompt template

[genre] track, [mood], [tempo BPM], [instruments], [duration]s, structured [intro/verse/hook/outro], loop-friendly

✅ Output checklist

• □Mood matches the scene/brand
• □No sudden volume spikes or dead air
• □Licensable for commercial use (check terms)
• □Loop or fade-out is clean if used as background

🎙️

Field

Voice & Speech

1 tools

Realistic voice-overs, dubbing, and audio cloning.

ElevenLabs

Prompt template

Read this script in a [tone] voice, [pace: slow/normal/fast], with natural pauses. Emphasize the words in **bold**. Script: [paste here]

✅ Output checklist

• □Pronunciation of names, brands, acronyms is correct
• □Pace and pauses feel human (not robotic)
• □Volume normalized (no clipping)
• □Consent + rights confirmed if cloning a real voice

🛠️

Field

AI App Builders

3 tools

Turn prompts into real websites and apps you can publish.

LovableCursorv0

Prompt template

Build a [type] for [audience] that does [core action]. Include [3–5 sections]. Style: [modern/warm/minimal], primary color [hex]. Add [auth / DB / payments] if needed.

✅ Output checklist

• □Works on mobile, not just desktop preview
• □All buttons and forms actually work end-to-end
• □Real content — no lorem ipsum, no placeholder images
• □Data persists on refresh (if the app has data)
• □Custom domain or published URL saved somewhere findable

Overview

AI moved from buzzword to daily tool faster than any technology in history. This chapter strips the marketing away. You'll understand what an LLM actually is, how it's different from 'AI', what the major models are good at, and the limits you must respect in production.

What you'll learn

• The nested boxes: AI ⊃ ML ⊃ Deep Learning ⊃ LLMs.
• How an LLM works mechanically — token prediction, context windows, temperature.
• Why hallucinations happen and the patterns that reduce them.
• The 2026 model landscape: text, image, video, voice — and when to use which.

Lessons in this chapter

All lessons are free and open — start anywhere, in any order.

1. 1

   AI, ML, LLMs — Tell Them Apart

   The terms everyone throws around, finally untangled.

   113 min
2. 2

   The AI Tool Landscape (2026)

   ChatGPT vs Claude vs Gemini vs the open models. When to use what.

   112 min
3. 3

   Common Mistakes & How to Avoid Them

   The 5 traps beginners fall into when working on what is ai, really? — and the fix for each.

   111 min
4. 4

   A Real-World Walkthrough

   A start-to-finish example of applying what is ai, really? to a real project you can copy.

   111 min
5. 5

   Mental Models That Actually Help

   The 3 mental models we keep coming back to when things get hard in what is ai, really?.

   111 min

Glossary

Key terms used throughout this chapter.

LLM

Large Language Model — a neural network trained on massive text corpora to predict the next token.

Token

A piece of a word the model processes. ~1.3 tokens per English word.

Context window

The maximum number of tokens a model can consider at once (e.g. 200K for Claude).

Temperature

Randomness setting. 0 = deterministic, 1 = creative, 2 = chaotic.

Hallucination

Confidently incorrect output. The model invents plausible-sounding facts.

Embedding

A numeric vector that captures the meaning of text — used for semantic search.

Fine-tuning

Continuing training a base model on your specific data to specialize it.