How I AIHow this former NYT columnist uses ChatGPT to brainstorm, do research, and find the perfect metaphor
CHAPTERS
Why Farhad adopted ChatGPT as a writing companion (not a replacement)
Farhad describes his initial skepticism when ChatGPT launched and how rapid improvements turned it into a practical writing aid. He explains how it moved from occasional use to a constant “second window” alongside his draft.
Brainstorming without Google: using ChatGPT with web search
Farhad shows how he starts idea formation by asking ChatGPT broad, argumentative questions and letting it surface the landscape of commentary. This replaces time-consuming Google searching and manual synthesis at the start of an article.
Live demo: tariffs query → sources, names, and angles in minutes
In a practical example, Farhad queries commentary on Trump’s tariffs and asks follow-ups (e.g., automotive industry reactions). He emphasizes how quickly the model delivers a structured starting point plus reading links.
Evaluating source quality and reducing hallucination risk
Claire probes whether AI-surfaced sources are as reliable as Google. Farhad explains how citations and ‘things it consulted’ improve trust, while still requiring verification.
Deeper exploration: AI as a research assistant you can interrogate
Farhad explains that the biggest benefit isn’t just speed—it’s depth. By asking “real questions” in sequence, he can uncover angles and arguments he might not have considered.
The ‘newsroom in a chat box’: remote collaboration vibes without the social cost
They discuss how ChatGPT mimics newsroom back-and-forth, especially in a post-remote world. Farhad notes the Slack-like interface and the freedom to be blunt without worrying about feelings.
Finding the perfect idiom/metaphor: replacing clichés like ‘pay the piper’
Farhad demonstrates his signature technique: paste a cliché idiom or rough sentence and ask for fresher, more precise alternatives. This goes beyond what Google or a standard thesaurus can provide.
From perfectionism to flow: speeding micro-decisions while keeping authorship
Farhad argues AI reduces time spent stuck on phrasing, letting him keep writing and return to polish later. He emphasizes the result still feels like his voice—AI supplies options, not final authority.
Word-level precision: ChatGPT as a ‘super-thesaurus’ with intent categories
They move from idioms to word choice, using “alternatives to outrage” as an example. Claire notes the tool can organize suggestions by tone (dramatic, colloquial, ironic), helping writers match intent.
Checking shades of meaning: ‘Does this word actually fit here?’
Farhad shows how he tests a questionable substitution (e.g., “public grief”) and asks the model to critique it. The AI explains connotation differences and offers rewrites that preserve the desired meaning.
AI as a first reader: structural feedback on early paragraphs
Farhad describes feeding 6–7 draft paragraphs to ChatGPT to see if the piece is moving fast enough and whether structure needs tightening. He treats it as iterative feedback while writing, before involving a human editor.
Wish list and prompt strategy: memory, screen-sharing, and being blunt
In lightning round, Farhad shares what he wants next (better persistent memory and less copy/paste via screen/app awareness). He also explains his troubleshooting style: direct, sometimes harsh, and knowing when to stop using AI.
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