Agencies charge $2,000/mo for AI ad creative. Higgsfield + draft mode discipline = $29.
The full 32-minute build, chaptered:
0:00 — Intro: the sister-trap premise and the storm-at-sea kill
4:28 — Stage 1: the script Claude actually writes for you
5:24 — Stage 2: the asset factory inside Cinema Studio
10:36 — The naming trick that saves 400 wasted generations
11:25 — Stage 3: the pirate cabin, shot by shot
14:01 — The talking parrot fix that made the scene alive
15:41 — Directing a cannonball through a sea battle
18:01 — The ship blast that transitions into the desert
18:46 — Full pirate scene playback: wet-deck fall into the ocean transition
19:45 — Desert scene: ostrich riders and dust transitions
30:00 — Full jungle sequence playback
31:30 — The twist ending that reframes the whole film
The frame this post opens with (agencies at $2,000/mo for AI ad creative, a $29 stack on the other side) is the pitch. What Adil actually shows is one operator building a 32-minute cinematic short across three settings, solo, in Krea Cinema Studio with Claude writing every prompt. The whole build is on screen, timestamp by timestamp.
The turn comes at 10:36. He names every asset, tags them the same in Krea Cinema Studio and Claude, and the scene generator auto-matches inputs by those tags. That's why the pirate captain keeps the same face 20 minutes later. Skip this step and you burn 400 generations wondering why the model keeps drifting.
At 17:19 he stops typing and draws. He sketches where the cannonball lands and where the crew stands, then feeds the picture to Claude. One drawing beats ten sentences. Every failed batch you avoid is credits back in your pocket.
The whole thing runs on draft-first discipline. Batch cheap in low-res, iterate the prompt in Claude, commit to 4K once. That's how one person out-produces the retainer.
He did it alone. In Krea. With Claude.
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Today we're launching Goose Ads in Claude.
This is a skill /goose-ads that lets anyone make high-performing ad creatives directly in Claude, Claude Code, Cowork, or Codex.
It finds the ads companies are already paying real money to run and remakes them for your brand. Accurate logo, messaging, and assets. One prompt.
Here's how it works:
1. Install: npx gooseworks install --all
2. Run: /goose-ads create ads for my brand [your-website]
3. Pick the templates you like
That's it. Winning ad creative in minutes, inside Claude.
But this is just the start.
We open-sourced 100+ growth skills that some of the fastest-growing startups run every day. Ads, content, competitor research, GTM, SEO, all of it.
Comment Goose and I'll DM you all 100+. For free
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What if Suzhou’s most iconic landmarks turned into desserts? 🍦🍰✨
From sweet ice cream to delicious cakes, these AI creations give Suzhou a fun new look! Which one would you take a bite of first? 😍
Tag someone you’d share these treats with, and tell me your favorite in the comments!
#
Suzhou# #
VisitSuzhou# #
AICreativity# #
AIArt# #
IceCream# #
Cake# #
TravelChina# #
SweetSuzhou#
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Case one: Strategy (Nasdaq: MSTR).
In August 2020, Strategy began buying Bitcoin. BTC value per diluted share: ~$2.34.
Today, BTC value per share: $164.71
Net of Credit/Preferred Shares: $129.53
That’s ~55× in 5.7 years.
Important note:
Strategy's average Bitcoin buying price is roughly $75,500. Bitcoin today is roughly $77,000.
They've made marginal returns on holding Bitcoin itself, yet net BTC value per share grew ~55×.
To deconstruct MSTR’s NAV/Share returns:
~3% came from Bitcoin price going up.
~97% came from MSTR issuing shares above NAV (proceeds were then used to buy more BTC).
If Bitcoin dropped 50% to ~$38,500, Strategy would face a large loss on their BTC NAV. Net BTC value per share would be ~$27.7, ~12x greater than the original BTC NAV per share. The company would have lost money on its investments, but retained returns from accretive share issuance.
In the scenario that Bitcoin doubled, the net BTC value per share would rise to $294.24. In this scenario, the company would have achieved substantial returns from both its investments and also accretive share issuance.
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There is financial incentive in mandating a demo of FSD upon delivery.
(Tesla's average selling price is $45k; Cost to produce is $36k; Incremental sales of $12k software add-ons is highly gross margin accretive)
But the strategic considerations are probably paramount.
A happy FSD user will exhort friends and family to buy Tesla.
I am massively, happily addicted to FSD. Life would be much worse (and less safe) without it.
It's one thing for people to opt for another brand because:
the range specs are similar;
they aren't that interested in 0 to 60 times;
aren't familiar with the safety differential;
and they think CarPlay is sufficient to paper over the inferior infotainment offering;
but with FSD, Tesla has performance that massively matters that no other company can emulate or compete against.
And, of course, getting more people to experience, understand, use, and rely upon this software will also generate additional data volume. Over time this will become critical to enable sufficient geographic data breadth to continue Tesla's model improvement trajectory.
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