Do you need another service just to put your links in one place? In this episode of Stack Snacks, I use Zo Computer to build a link-in-bio page for my YouTube channel, website, podcast, TikTok, and Threads. One prompt gave me a live page. I caught a wrong Threads link while testing it and fixed it with one more sentence.

In this episode:

What I asked Zo to build and why I made the page mobile friendly

How I checked every button before sharing it

When a simple page you control may be enough, and when you might want the extras from a dedicated service

Try it yourself: Explore Zo Computer. Add your own links, then test each one before publishing.

The Zo link is an affiliate link. If you sign up through it, I may earn a commission at no extra cost to you.

What small tool should I try building with AI next? Reply to the Stack Snacks newsletter or leave a comment on YouTube.

Anthropic quietly shipped Claude Opus 4.7 last week, and for the first time it feels like a coding model you can actually hand real work off to — not babysit. We break down what's new, what's hype, and what's worth changing in your workflow today.

In this episode

00:00 — Cold open: why 4.7 is different from a routine bump

00:30 — The three coding upgrades that matter: self-verification, longer autonomous runs, and better tool use

01:15 — SWE-bench results and the "low-effort 4.7 ≈ high-effort 4.6" claim

01:45 — Four more upgrades worth knowing

3× vision resolution

Instruction following (so good Anthropic is warning people about it)

Better cross-session memory

Higher-quality creative writing

02:45 — Pricing stays flat ($5 / $25 per million) — but mind the new tokenizer

03:05 — What else launched: Project Glass safety framework + Claude Code Max auto mode

03:25 — The bigger picture: unsupervised coding, capability shaping, and the model treadmill

03:55 — Who should actually switch today

Key takeaways

Hand-off, don't hand-hold. 4.7 is pitched as the first Claude you can leave running on multi-step coding tasks and trust the output.

Self-verification is the quiet killer feature. The model checks its own work before reporting back — fewer "looks done, actually broken" moments.

Re-tune your prompts if migrating. Instruction following got so sharp that prompts tuned for 4.6 can misfire. Loosen overly literal language.

Same price, different tokens. Dollar cost is unchanged, but the new tokenizer can use 1.0–1.35× more tokens for the same text. Watch your bills.

Vision got real. 3× resolution makes screenshot-driven agents and UI workflows meaningfully better.

Project Glass > disclaimers. Anthropic is shaping capabilities at the model level instead of bolting on warnings. Worth watching if you care about AI safety direction.

Should you switch?

Daily Claude coder: Yes. Upgrade and re-tune prompts.

Building agents: Yes — vision + memory + longer autonomy are all wins.

Casual user: No rush. 4.6 is still excellent.

Watching safety: Read the Project Glass notes.

Links

Full post: https://www.stack-snacks.com/p/opus-47-just-landed-heres-what-actually

Subscribe to the newsletter: https://www.stack-snacks.com

YouTube: Stack Snacks

In this bite-sized episode of Stack Snacks, John breaks down OpenAI’s brand-new open-weight releases—GPT-OSS 120B and GPT-OSS 20B. Learn how these downloadable models rival O4 Mini and O3 Mini, why owning the weights beats renting cloud compute, and what local deployment means for cost savings, privacy, and rapid experimentation. Perfect for founders, researchers, and AI tinkerers who want full control over their tech stack—plus quick tips on where to grab the models and start building today.