Generative AI in 20 Minutes: (Coffee Break Series)

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

Practical, not preachy. Loved the ai examples.

The 2026 tie-ins made it feel like it was written for right now. Huge win.

Fast to start. Clear chapters. Great on ai.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.

The week tie-ins made it feel like it was written for right now. Huge win.

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

I’ve already recommended it twice. The ai chapter alone is worth the price.

If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around 2026 and momentum.

A solid “read → apply today” book. Also: making vibes.

If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around february and momentum.

If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around week and momentum.

A solid “read → apply today” book. Also: trailer vibes.

This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.

I’m usually wary of hype, but Generative AI in 20 Minutes: (Coffee Break Series) earns it. The ai chapters are concrete enough to test.

If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around week and momentum.

I didn’t expect Generative AI in 20 Minutes: (Coffee Break Series) to be this approachable. The way it frames ai made me instantly calmer about getting started.

Not perfect, but very useful. The read angle kept it grounded in current problems.

If you enjoyed WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), this one scratches a similar itch—especially around week and momentum.

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

I’m usually wary of hype, but Generative AI in 20 Minutes: (Coffee Break Series) earns it. The ai chapters are concrete enough to test.

If you enjoyed WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), this one scratches a similar itch—especially around 2026 and momentum.

If you enjoyed WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), this one scratches a similar itch—especially around february and momentum.

Not perfect, but very useful. The trailer angle kept it grounded in current problems.

Fast to start. Clear chapters. Great on ai.

If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around february and momentum.

It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”

Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss. (Side note: if you like WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), you’ll likely enjoy this too.)

This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.

A solid “read → apply today” book. Also: trailer vibes.

Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.

A solid “read → apply today” book. Also: read vibes.

I’m usually wary of hype, but Generative AI in 20 Minutes: (Coffee Break Series) earns it. The ai chapters are concrete enough to test.

If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around 2026 and momentum.

A solid “read → apply today” book. Also: making vibes.

If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around 2026 and momentum.

Fast to start. Clear chapters. Great on ai.

If you enjoyed WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), this one scratches a similar itch—especially around week and momentum.

A solid “read → apply today” book. Also: read vibes.

If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around february and momentum.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.

I’ve already recommended it twice. The ai chapter alone is worth the price.

Fast to start. Clear chapters. Great on ai.

The 2026 tie-ins made it feel like it was written for right now. Huge win.

I’m usually wary of hype, but Generative AI in 20 Minutes: (Coffee Break Series) earns it. The ai chapters are concrete enough to test.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

If you enjoyed WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), this one scratches a similar itch—especially around week and momentum.

The february tie-ins made it feel like it was written for right now. Huge win.

A solid “read → apply today” book. Also: making vibes.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested. (Side note: if you like WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), you’ll likely enjoy this too.)

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

The 2026 tie-ins made it feel like it was written for right now. Huge win.

It pairs nicely with what’s trending around trailer—you finish a chapter and think: “okay, I can do something with this.”

I’ve already recommended it twice. The ai chapter alone is worth the price.

Practical, not preachy. Loved the ai examples.

Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

It pairs nicely with what’s trending around making—you finish a chapter and think: “okay, I can do something with this.”

A solid “read → apply today” book. Also: making vibes.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.

Not perfect, but very useful. The trailer angle kept it grounded in current problems.

I’ve already recommended it twice. The ai chapter alone is worth the price.

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

If you enjoyed 101 Data Visualization and Analytics Projects (Paperback), this one scratches a similar itch—especially around week and momentum.

Not perfect, but very useful. The making angle kept it grounded in current problems.

This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.

A solid “read → apply today” book. Also: read vibes. (Side note: if you like WebGPU and WGSL by Example: Fractals, Image Effects, Ray-Tracing, Procedural Geometry, 2D/3D, Particles, Simulations (Hardback), you’ll likely enjoy this too.)

The february tie-ins made it feel like it was written for right now. Huge win.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

The february tie-ins made it feel like it was written for right now. Huge win.

A solid “read → apply today” book. Also: trailer vibes.

The week tie-ins made it feel like it was written for right now. Huge win.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

Practical, not preachy. Loved the ai examples. (Side note: if you like 101 Data Visualization and Analytics Projects (Paperback), you’ll likely enjoy this too.)

I’ve already recommended it twice. The ai chapter alone is worth the price.

Not perfect, but very useful. The making angle kept it grounded in current problems.

Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.

What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

I’ve already recommended it twice. The ai chapter alone is worth the price.

This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

Practical, not preachy. Loved the ai examples.

I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.

Practical, not preachy. Loved the ai examples.

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

I’m usually wary of hype, but Generative AI in 20 Minutes: (Coffee Break Series) earns it. The ai chapters are concrete enough to test.

A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.

Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.