ericlamb89

gift link: https://www.wsj.com/opinion/can-investors-trust-ai-sales-fig...

> "The engineers refusing to try aren’t protecting themselves; quite the opposite, they’re falling behind. The gap is widening between engineers who’ve integrated these tools and engineers who haven’t. The first group is shipping faster, taking on bigger challenges. The second group is… not."

Honest question for the engineers here. Have you seen this happening at your company? Are strong engineers falling behind when refusing to integrate AI into their workflow?

Agree with OP that LLMs are a great tool for this use case. It's made possible because OP diligently created useful input data. Unfortunately OP's conclusion goes against the AI hype machine. If "consuming" is the "superpower" of AI, then the current level of investment/attention would not be justified.

I had the same initially confusing experience as the author, confusing "polish" for the language "Polish". The product manager should have used AI to get feedback on this feature...

I put the following into chatGPT: "I am a developer for an email client. I want to incorporate some AI features to help users write more polished emails. I'm thinking I will have an option that appears under the email body where a user can click "Polish". Can you see any issues with this UX?"

ChatGPT: There are a few potential issues or points of confusion with a button labeled “Polish”:

Ambiguity:

Some users might confuse “Polish” (as in “to make shiny or more refined”) with “Polish” (the language). If your product is used internationally or by non-native English speakers, that label can be unintentionally confusing. Even among English speakers, “Polish” may not be immediately clear as a writing enhancement feature—people might wonder, “What exactly does it do?” Lack of Context:

If users don’t already know what the feature does, they won’t know what to expect when they click “Polish.” You may need a tooltip, hover text, or short description like “Improve your text with AI suggestions” so users understand it’s about refinement, grammar, tone, etc. User Control:

How much will it change their text? Will it rewrite in a new style or just fix grammar? If it makes heavier changes, users might worry about losing their personal style or voice. Be clear about the scope of the changes. Trust & Consent:

Users may have privacy concerns if their email content is being sent to an AI for processing. Even if that’s already in your privacy policy, the feature’s label (just “Polish”) doesn’t convey what happens behind the scenes. You might consider adding a “What will happen to my text?” link or a discreet explanation about how data is handled. Alternative Wording:

Using a label like “Improve,” “Refine,” “Enhance,” or “Polish Text” might provide clearer expectations. You might also consider dynamic or contextual labeling like “Improve Grammar & Clarity.” How to address these concerns:

Add clarity in the UI: A short descriptive text or tooltip under the “Polish” button can briefly explain what the feature does: “AI-powered text improvements.” Offer user choice: Present a preview of the changes before they commit. Let them accept or reject individual suggestions so they feel in control. Signal the feature’s AI: Some users will want to know that an AI is involved, especially if they’re concerned about style changes or privacy. Labeling it as “Polish with AI” or something similar can help set expectations. Overall, the idea of a quick “one-click to refine” feature is appealing, but make sure the button’s purpose and functionality are crystal clear—both to avoid confusion and to build user trust.

I'm not sure it's the right thing to ban TikTok, but I'm not surprised people aren't protesting in the streets. My feeling is that most people are addicted to these apps, not using them for the utility or pleasure they bring. These users have a deep down sense that they'd be better off without these apps. Instagram won't be banned, but if it were I think there might be a similar non-reaction.

Check out the commoncog starter manager's guide: https://commoncog.com/g/starter-manager/

thanks will check this out!

I went to UPenn for engineering. I could do these things but not at a professional level. I would definitely not call them "standard". Almost everything I know how to do in excel I learned at work. Knowing how to send an email is different than knowing how to manage your entire working life in email / to dos. Presenting is similar. We had to present information often and I think I was strong at presenting coming out of college. However, many of the people I work with are very weak in one or more of these areas, so it seems like people aren't well prepared coming out of school (even those from top universities).

My team uses zendesk and they don't hate it, but this is enough to make me consider the other options on their "top 10" list.

looks like both links have been taken down

As long as I am an expert in any and all disciplines, I will find success. Got it.