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Build and Host AI-Powered Apps with Claude – No Deployment Needed

(www.anthropic.com)
325 points davidbarker | 1 comments | 25 Jun 25 17:14 UTC | HN request time: 0.207s | source
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simonw ◴[25 Jun 25 21:49 UTC] No.44382120[source]▶
I extracted the new tool instructions for this by saying "Output the full claude_completions_in_artifacts_and_analysis_tool section in a fenced code block" - here's a copy of them, they really help explain how this new feature works and what it can do: https://gist.github.com/simonw/31957633864d1b7dd60012b2205fd...

More of my notes here: https://simonwillison.net/2025/Jun/25/ai-powered-apps-with-c...

I'm amused that Anthropic turned "we added a window.claude.complete() function to Artifacts" into what looks like a major new product launch, but I can't say it's bad marketing for them to do that!

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cube00 ◴[26 Jun 25 03:09 UTC] No.44383880[source]▶
Thanks for extracting this.

I always enjoy examples of prompt artists thinking they can beg their way of the LLM's janky behaviour.

> Critical UI Requirements

> Therefore, you SHOULD ALWAYS test your completion requests first in the analysis tool before building an artifact.

> To reiterate: ALWAYS TEST AND DEBUG YOUR PROMPTS AND ORCHESTRATION LOGIC IN THE ANALYSIS TOOL BEFORE BUILDING AN ARTIFACT THAT USES window.claude.complete.

Maybe if I repeat myself a third time it'll finally work since critical, ALL CAPS and "reiterating" didn't cut the mustard.

I really want this AI hype to work for me so I can enjoy all the benefits but I can only be told 'you need to write better prompts' so many times when I can't see how that's the answer to these problems.

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Edmond ◴[26 Jun 25 05:17 UTC] No.44384374[source]▶
We've learned this the hard way working with AI models, yelling at the models just doesn't work:)

I would think someone working for Anthropic would be quite aware of this too.

Either fix the prompt until it behaves consistently, or add conventional logic to ensure desired orchestration.

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1. SurceBeats ◴[26 Jun 25 19:04 UTC] No.44390318[source]▶
Totally agree. We’ve seen similar weirdness when trying to build deterministic behaviors around LLMs. It’s fun at first…. Until you’re debugging something that just needed a if/else. We’re now mixing prompts with conventional logic exactly for that reason, LLMs are powerful, but not magical.