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Introducing Arcade 1.0, the first-ever AI product creation platform, where what you dream up can be made.
Arcade retweeted
Thanks @arcade_ai for the invite to Sunday’s SF hackathon 🙌
Built a 3D studio for cafés and hotels to design custom table settings and actually get them made.
Quite a lot of engineering to stop the napkins clashing.
Have a play: editions.company
Arcade retweeted
Spent my Sunday building a personalized journal studio for Como @trycomoapp at @arcade_ai's hackathon!
The idea? A physical journal tailored to your emotional eating patterns, with new prompts that grow with you 🫵
Can't wait to take this further and make it real!
#sftechweek
Come join us at Shopping 3.0 to build more things like this! partiful.com/e/GmB2RWwfd99Jo…
Built a room designer to plan my space for senior year at Stanford.
I can swap bedding, pillows, and lighting, see how they look together, and check out with my favorite pieces using @arcade_ai
Arcade retweeted
I'd love to see more people building commerce and physical product businesses. We're opening Arcade's APIs and manufacturing network so they can. Join me at Arcade's AI Commerce Hackathon on Oct 11. @kirstenagreen a judge; $10,000 1st / $5,000 2nd. Bring an idea! #SFTechWeek
Bring your taste. Build a business. Shopping 3.0: Arcade's AI commerce hackathon. First access to our specialized models and prompt-to-physical APIs. October 11, 2026, $15K in prizes. 100 seats. Apply: partiful.com/e/GmB2RWwfd99Jo… #SFTechWeek
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Arcade retweeted
Have an idea for a product you wish existed? @arcade_ai is opening up the tools and manufacturing network to bring it to life. I’ll be joining @mnaficy as a judge on October 11. Bring your taste, ambition, and ideas.
I'd love to see more people building commerce and physical product businesses. We're opening Arcade's APIs and manufacturing network so they can. Join me at Arcade's AI Commerce Hackathon on Oct 11. @kirstenagreen a judge; $10,000 1st / $5,000 2nd. Bring an idea! #SFTechWeek
Arcade retweeted
Lazy work used to mean too little output.
Now, with AI, it often means too much and more work for everyone else.
@tobi call it "slop grenades."
A "Slop Grenade" is when you let AI produce the work and pass it on without adding any value (including checking it).
Someone else has to wade through it, catch the mistakes, and clean up the mess.
You save time and look productive but someone else pays for it.
My third conversation with Shopify co-founder and CEO @tobi.
0:00 How Shopify Uses AI
7:18 River: Shopify's Internal AI
8:55 How to Encourage Osmosis Learning
10:52 AI Dreaming and Self-Reflection
11:53 How to Use AI for Strategic Decision Making
14:11 The One Thing AI Cannot Do
16:04 What AI is Making Worse at Shopify
19:46 Predictions: Where AI is Headed Next
21:55 The Future of AI-Powered Software
24:40 Will CEOs Be Replaced with AI?
27:54 Can Superintelligence Be Controlled?
31:13 Critical Skills in AI Age
34:22 Why Complex Solutions are Usually Wrong
36:33 Conditions Needed for True Intuition
38:02 The Best Path Doesn't Have Instant Feedback
44:51 How Affirmations Can Shift Your Behavior
50:44 The Inobvious Thing Hurting Companies
52:37 Relationship Between Beauty and Creation
56:23 How SpaceX Moves Forward By Subtraction
1:00:24 Why Companies Need Refounding Events
1:01:50 Books as Cheat Codes
1:02:39 Three Books to Change Your Thinking
Enjoy!
(Includes paid promotions.)
Arcade retweeted
one aspires to be able to ship something like this in their lifetime. art and craftsmanship.
Arcade retweeted
every marketing engineer needs a knowledge base, a second brain
a central place for files that contain all the information, data, examples and instructions your agents need to produce quality work
here is how to organize it for marketing:
1. start with the files every marketing team needs
> company .md: what the business does and who it serves
> customer .md: customer problems, buying triggers, objections and their own words
> offer .md: what you sell, pricing, deliverables and promises you can support
> positioning .md: why someone would choose you over the alternatives
> voice .md: how you write, with examples and phrases to avoid
> proof .md: case studies, approved claims and links to the evidence
build these from material you already have: sales calls, proposals, customer interviews, website copy and previous campaigns
for voice .md, include your edits. an approved post helps, but explaining why you changed the opening gives the agent something specific to apply
2. create a folder for each marketing function
content, SEO, paid, creator marketing and email all need different instructions
inside each folder, keep:
> playbook .md: how the work gets done
> examples/: approved work and rejected versions, with your feedback
> tools .md: which tools and accounts agents can use
> checks .md: what to check before returning the work
> calendar .md: what's planned, in progress and ready for review
reference the shared files when needed. if you change the offer, every team should be able to find the current version
3. organize content by platform
an X post, a newsletter and a LinkedIn post need their own examples and writing guidance
content/
├── playbook .md
├── checks .md
├── tools .md
├── calendar .md
├── x/
├── linkedin/
├── newsletter/
└── visual/
inside each platform folder, save the formats you use, examples you've approved and drafts you've rejected
4. give agents visual references to work from
keep a moodboard and brand book in Figma or Paper, with links in visual/
> moodboard: references for the look you want, with notes on what you like about them
> brand book: colors, fonts, logos, layouts and rules for using them
> approved examples: previous ads, landing pages and campaign assets
give the agent access to those files when it creates visuals, and save your design feedback alongside the references
5. give each campaign its own folder
campaigns/product-launch/
├── brief .md
├── research/
├── decisions .md
├── production/
└── results .md
the brief holds the goal, audience, offer and constraints for that campaign
decisions .md records what you've agreed on and why. if you reject an angle or change the offer, save the decision there
agents working on the landing page, emails and social posts can then use the same approved direction
6. connect your performance data using a data warehouse
a data warehouse stores performance data from your marketing tools in one place your agents can query
connect your ad platforms, website analytics, sales tools and content accounts to collect spend, clicks, leads, conversions and campaign results
the marketing folders can hold campaign reports and your interpretation of the results, with links to the data behind them
for a new campaign, an agent can read the previous brief, inspect the assets and check how they performed
include the reporting period and metric definitions so it can make a useful comparison
7. explain how agents should use the folders
add an AGENTS .md file with instructions for working in the knowledge base
> where to find the relevant files
> which sources to trust
> where to save drafts and research
> how to flag conflicting information
> which changes need your sign-off
give the agent the files it needs for the task you're asking it to do
8. save what you learn while doing the work
when you correct a draft, update the writing instructions or examples
when a campaign reveals a new customer objection, add the evidence to customer .md
when an offer changes, update offer .md and flag the active campaigns affected
I'd keep the markdown files in GitHub so changes can be reviewed and traced back to whoever made them, with large creative files linked from shared storage
start with one marketing function and a task you're already doing
Building a storefront agent in Claude?
We built the reference implementation to connect it to your Shopify store
to build a cool product now, you really only need two ppl:
one dude with exceptional vision & taste who knows what should exist & can provide the right feedback loops for iteration.
& one dude who is absolutely relentless about making it real no matter what.
that’s it. & sometimes these two are the same.
Arcade retweeted
Agentic commerce doesn't kill Shopify apps. It bypasses the ones whose value lived in the storefront, and routes straight through the ones that own data, logic, or fulfillment. A risk map for app founders: taylorsicard.com/blog/shopif… #ShopifyPartners #AgenticCommerce
Arcade retweeted
I used to sell on @etsy and @shopify, and I wish I had @arcade_ai. I think some of the most interesting stores in this era of generative commerce will design their products after the customer shows up. That’s what I’m excited to see people build with our APIs.
Bring your taste. Build a business. Shopping 3.0: Arcade's AI commerce hackathon. First access to our specialized models and prompt-to-physical APIs. October 11, 2026, $15K in prizes. 100 seats. Apply: partiful.com/e/GmB2RWwfd99Jo… #SFTechWeek
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Bring your taste. Build a business. Shopping 3.0: Arcade's AI commerce hackathon. First access to our specialized models and prompt-to-physical APIs. October 11, 2026, $15K in prizes. 100 seats. Apply: partiful.com/e/GmB2RWwfd99Jo… #SFTechWeek
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Developers, designers, artists and entrepreneurs welcome. Oct 11, 10am – 6pm PT at @tiatplace. $10K first. $5K second. Sponsored by @forerunnervc and @hereticventures. Judges include: @kirstengreen, @mnaficy, @imempowa and more. Apply: partiful.com/e/GmB2RWwfd99Jo… #SFTechWeek
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Prompt a product. Get an image and an instant, guaranteed price. Arcade's vetted manufacturers make it on demand and ship it to your customer. Build a commerce agent, a Shopify app or your own brand on the infrastructure that powers Arcade.
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Today, we launched the first AI physical product design agent, Maia, to help you design holiday gifts (men’s and women’s jewelry, scarves, and decorative items), along with new luxury brands and artisans, all vetted and just in time for holiday gifting. Read more from our Founder and CEO, @mnaficy, below.
When custom becomes as easy as search, the act of shopping will transform on a magnitude not seen in decades. I'm excited to unveil my passion project, writing @arcade_ai's Maia, the first AI design agent that turns conversation into real, physical products. Not mockups. Not concepts. Actual jewelry, gifts and decor made by master artisans and luxury brands like @Christofle1830, Bitossi, Cabana, @L_Co_official, and Noemie.





























