7 Ways to Get So Good at AI, People Will Think You Are AI

Reece Rogers· May 26, 2026 · 10:00 AM UTC ·4 min read · 0 reactions · 0 comments · 31 views

#technology #artificial intelligence #productivity #Reece Rogers #Sam Liang #Otter #Jo Barrow #Granola

TL;DR · WeSearch summary

The article discusses how to become proficient in using AI tools, suggesting that individuals can enhance their productivity by adopting new technologies. It emphasizes the importance of adaptability and experimentation with various AI applications. The author provides seven tips for effectively integrating AI into daily tasks to achieve a level of fluency that may impress colleagues.

Key facts

▪AI natives are encouraged to embrace new tools and stay adaptable to enhance productivity.
▪Voice input is becoming more dominant, as many users prefer speaking over typing.
▪Sharing more data with AI can lead to more personalized outputs, although privacy concerns remain.

How this story was covered

2 outlets in our directory ran this story, first to last over 7 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1

▪ Why do some/most people think AI will never be good enough? What are their arguments? — Reddit

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WIRED files mainly under tech. We currently carry 605 of its stories.

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WIRED · Reece Rogers

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Record

Original publisher	WIRED
Canonical URL	https://www.wired.com/story/7-ways-to-get-so-good-at-ai-people-will-think-you-are-ai/
Publication time	Tue, 26 May 2026 10:00:00 +0000
Retrieval time	2026-05-26T10:07:47.871Z
Last seen	2026-05-26T10:07:56.616Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	cnmcSClXNNe8 · 2 stories
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

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WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

Reece RogersBusinessMay 26, 2026 6:00 AM7 Ways to Get So Good at AI, People Will Think You Are AIFrom killing your chatbots to optimizing your prompts, here are the best ways to go full AI native and conquer the new world.Photo-Illustration: Jobanny Cabrera; Getty ImagesCommentLoaderSave StorySave this storyCommentLoaderSave StorySave this storySam Liang is appalled as I confess my technique for recording an interview: running the Voice Memos app on an iPhone and transferring the transcript manually to a Google Doc. The CEO of Otter, a transcription service for analyzing meetings, looks at me as if I tried to call into our video chat using a rotary phone. He believes, naturally, that I should switch to Otter.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at WIRED.

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