Wow moments with Claude Code
When Code Feels
Like Superpowers
Alexander Gomez · 2026
Saturday · 11:34 AM · Efteling
Yes. Kids are in the queue for a rollercoaster my stomach can't handle.
I'm deploying agents from my phone.
Let me rewind.
A photo. A story. A song.
About 4 minutes end-to-end.
visionreads the photo.
composerwrites the song.
imagepaints.
musicplays.
videostitches.
"Papa, kunnen we samen een liedje maken?"
— my son · December
Warm.
808.
Brass.
He loved it.
Claude Code and I had made a tool that made music my eight-year-old wanted to hear again.
It's on Spotify now. He has an artist page. One single. — that's it.
He's eight. He has a single on Spotify.
I'm now his manager.
Want to see another one made live?
live demo
EMX
emx.firebots.cloud
under the hood
EMX — how it all connects
you
a photo
+ a story + a mood
▶
browser
emx-web
face-api · emotion-pad → BPM
▶
orchestrator
BFF
Node.js · runs the pipeline
▶
service
emx-api
Python · vision · compose · cover
▶
ai model
Gemini ×3
one call per step
ai service
Kie AI
model V5 · music, then video
▶
result
song + video
a finished music video
◀
live progress streamed back to the browser · SSE
one upload → 5 AI calls across 2 providers → a music video
fallback
[ fallback static screenshot — EMX result ]
Four minutes. End to end.
Okay. Back to the theme park.
Saturday in February. Pair-programming in a forty-minute queue.
If a CSS fix takes 40 minutes in a queue —
what could a whole app take?
live demo · audience prompt
Vibe Deployer
vibe.firebots.cloud
under the hood
Vibe Deployer — how it all connects
you
a sentence
describe an app
▶
chat ui
vibe-chat
nginx · the chat page
▶
relay
vibe-ws
Node.js · the relay
▶
workflow
n8n
the deploy workflow
▶
ai model
Claude
writes the whole app
result
a live app
+ a QR to share
◀
host
vibe-apps
nginx · serves it live
◀
n8n writes Claude's code to disk
one sentence → Claude writes the app → live and shareable in about 2 minutes
fallback
[ fallback — pre-recorded Vibe Deployer result ]
live, on the internet, right now
From a sentence. In about 2 minutes.
Terminus
tmux · claude
~ tmux attach
$ claude
● SSH from phone
● tmux session
● Claude Code agent
● iOS keyboard
✓ read · write · ship
$
Terminus · the studio in my pocket
The studio is wherever I am.
Here's what I checked having breakfast this morning.
live · my calorie tracker
OpenClaw
on my VPS · via Telegram
under the hood
OpenClaw — how it all connects
you
a food photo
or just a description
▶
chat app
Telegram
you message the bot
▶
gateway
OpenClaw
Node.js · agent gateway
▶
skill
calorie-tracker
a skill I wrote
▶
ai model
Claude
sees the food, counts it
result
your daily total
replied in Telegram
◀
log
calorie-log.json
one line per meal
◀
the agent saves what Claude counted
a photo of a meal → Claude counts it → logged and replied, in seconds
fallback
[ fallback — OpenClaw Telegram chat ]
Counted. Logged. Done. Over breakfast.
in one year
Three things
Claude Code changed for me.
01
I wrote an nginx config while my kids ran around the playground.
02
I made a cinematic hip-hop song I couldn't have made alone.
03
I shipped production from the back of a rollercoaster queue.
I said three wow moments.
There's a fourth.
And I use it almost every day.
live · YouTube → analysis · /verify · /roadmap
YoutubeSummarizer
on my VPS · via Telegram
under the hood
YoutubeSummarizer — how it all connects
you
a YouTube link
+ a command, maybe
▶
chat app
Telegram
you message the bot
▶
orchestrator
n8n
the YoutubeAnalyser flow
▶
step 1
yt-transcript
grabs the captions
step 2 · summary
Fabric
AI patterns analyse it
step 2 · commands
yt-research
/verify · /roadmap
▶
ai model
Codex
gpt-5 · searches the web
◀
the finished analysis is sent straight back to your Telegram chat
a link in → an agent reads the whole video → an answer back in your chat
fallback
[ fallback — /verify + /roadmap outputs ]
An agent that reads YouTube so I don't have to.
Old setup: a laptop on a desk on a weekday.
New setup: a phone deploying agents in a queue on a Saturday.
Monday. Your innovation Sprint.
The gap isn't skill — it's the first prompt. Pick one ticket, describe it out loud, and let an agent start.
Soon, engineers will deploy agents from anywhere we are.