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I gave the same “growth review” task to the same AI—but changed one thing. One version used general AI. The other used my own analytics framework as a Skill. Most AI-generated reports look clean… until you check whether the metrics actually matter. Task: Monthly App User Growth Review Version... show more
69,609 次观看 • 1 个月前 •via X (Twitter)
26 条评论

Custom Skills can make AI outputs much more specific and useful.

AI can generate reports, but knowing what actually matters makes all the difference. Great use case for AiPPT

Great Opportunity

Great share

The fact that the data stayed the same makes this comparison even more interesting

AiPPT is making a strong case for Custom Skills here. The difference is actually noticeable

Nice share

The difference a good Skill makes is honestly underrated. Same AI, much better thinking with AiPPT

That's awesome

Same same but defeats

Custom Skills could be one of the most underrated ways to get better results from AI

Excellent share

This is a great reminder that AI is only as good as the context and expertise you give it

Great opportunity

Impressive share

Honestly, this is the kind of AI use case I’d actually want to try myself

Same task, different context, completely different result. That’s a powerful demonstration

A clean-looking report isn’t necessarily a useful report. The analysis behind it matters way more

This is a much better way to think about AI don’t just ask it to analyze, teach it how you analyze

Great share

Custom Skills turning generic analysis into something closer to a real analyst is a big deal

The difference between generic prompts and custom frameworks is impressive.

This feels like the real next step for AI tools giving them your own expertise, not just prompts

That’s cool

Nice share

Teaching AI your process can lead to much stronger insights.
