Hey Reader,

Anthropic shipped its most powerful model in years on June 9. Three days later, the US government pulled it offline – for everyone. If you run a business on AI, the story to take away isn't the politics. It's the quiet lesson it handed every operator about how to set up your stack.

Anthropic's most powerful model lasted three days

On June 9, Anthropic released Fable 5, its most capable model yet. On June 12, a US export-control order took it offline – not just for foreign users, for everyone. Three days, start to finish.

The full story of why is in the post: a cybersecurity jailbreak, an export-control directive, and an open fight between Anthropic and the administration over how serious it really is. But here's the part that matters if your business runs on AI. The teams that felt nothing this week were the ones not betting on a single model. Opus 4.8, Sonnet, and Haiku all stayed online, cost less, and handle the bulk of real work. The teams scrambling had wired a workflow to the newest model and made it a hard dependency.

The lesson is cheap to apply: keep the model a setting you can change, not a foundation you can't.

Read what happened, and why →

Which Claude is actually right for your business?

That lesson lands better once you can see your options laid out. Claude isn't one thing – there's the chat app, Claude Code, the API, and a small-business plugin that bundles the pieces most operators actually use.

This read walks the plugin: what's in it, what each part does in plain terms, and how to decide what fits your business without paying for capability you won't touch. If the Fable 5 story made you wonder whether you're on the right Claude setup, start here.

See what's in the plugin →

What automation actually buys a small business

And a case study to close, because it's the clearest answer to "so what does this actually do for my business?" A custom-merchandise company was drowning in copy-paste: every new creator who signed up meant another product built by hand across Printify and Shopify – images, descriptions, variants, all of it.

The fix was a pipeline of nine connected workflows that turned the whole thing into a push-button operation: 9,000+ creators processed, near-zero errors, sign-up to live storefront in minutes. This is the real numbers, not a demo – where the manual hours went, and what replaced them.

Read the case study →

Reply and tell me which one was the read for you. I read every reply.

– Alex

P.S. – The conversations behind reads like these happen in the WotAI Skool community. 760+ builders, three live calls a week, free to jump in.

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