JULY 3, 2025

• PromptCraft: Reflection Priming; Sora Use-Cases; Reusable SaaS Starter Prompt ​
• 19% of Americans Use AI to Write Emails Now: Here's What That Says About Them​
• THE HEADLINES
• Tool Spotlight: TailorLabs AI Lets You Edit Hours of Video by Text

Reflection Priming; Sora Use-Cases; Reusable SaaS Starter Prompt

• ​Made a tool that auto-enhances prompts – no more “cat sitting” getting you weird results lol — CreateVision.ai rewrites basic image prompts into multi-style, high-detail versions to improve outputs. reddit.com​
• ​I Know 540 Prompts. You May Use 3 — Curator drops a huge prompt library but spotlights three favorites for bias busting, life forks, and mythic narrative mapping. reddit.com​
• ​Reflection Priming — Kick-off phrase “You’ve just made a major breakthrough…” primes GPT for more nuanced, metacognitive outputs. reddit.com​
• ​Everyone Says creating apps with GPT is Impossible — this is my Shot — Poster details an autonomous “swarm scan” system that iterates products and marketing every 72 hours. reddit.com​
• ​Made a reusable SaaS starter prompt to stop rebuilding the same stuff — One-shot prompt scaffolds a Next.js + Tailwind app with auth and clean folder structure. reddit.com​
• ​If you are like me and wonder what to actually create with Sora by OpenAI… here is the prompt — “Creative strategist” prompt spits out tailored video ideas, impact statements, and ready-to-run Sora commands. reddit.com​

19% of Americans Use AI to Write Emails Now: Here's What That Says About Them

Picture this: you murmur a few keywords to an AI, and presto! It drafts a perfectly polite email to your team while you sip your coffee. You hit send without breaking a sweat.

On the other end, one of your colleagues skims it using their AI-powered inbox assistant. Welcome to the era of emails on autopilot – where one AI writes what another AI reads. It sounds like a far-fetched office joke, but it’s closer to reality than you might think.

Nearly 1 in 5 Americans now use AI to help write their emails, making it the most common way people leverage AI in daily life (yes, even more than meal planning or managing to-do lists). In other words, the corporate world is warming up to robot ghostwriters, even if we humans are still getting used to the idea.

Figure: Top 10 everyday use cases for AI among U.S. adults. Writing emails is #1 at 19%, but notice that no single task has more than one-in-five adoption. In plain terms, email drafting is AI’s biggest hit so far – and even that hasn’t taken over most inboxes yet. The vast majority of workplace emails are still written the old-fashioned way (by actual humans typing), but the trend is clear. AI is creeping into our daily routines, handling the grunt work of wording emails so we don’t have to.

Telltale Signs of an AI-Written Email

If you’re a manager or CEO reading through your inbox, you might start to notice certain telltale signs that an email was drafted by our friend “ChatGPT, Esq.” rather than Carol in Accounting. AI-generated emails tend to have a formulaic polish that, while grammatically impeccable, can ring a little hollow. Here are some giveaways that you’re reading robot prose in your inbox:

• Generic pleasantries and clichés. Overused openers like “I hope this message finds you well” are a favorite of AI email drafters. (Let’s be honest, even humans overuse that line, but an AI never skips it.) These messages often contain feel-good but non-specific phrases – think “fostering a strong sense of community” – that sound nice yet say very little. It’s politeness on autopilot.
• Excessive formality and polish. AI writing tools err on the side of being ultra-formal and courteous. You might see phrases like “Please feel free to reach out to us at your earliest convenience” – the kind of polite phrasing that feels more like a corporate memo than a personal note. The tone is consistently professional, even when a touch of human warmth or humor would be more natural.
• Lack of personal details. An AI doesn’t know your inside jokes or specific context unless you tell it. The result is often an email full of generalities that could be sent to anybody. There are no personal anecdotes or concrete specifics – it’s all “your project [insert name] is important to us” and zero customization. As one tech observer put it, “AI-generated emails rely on common phrases or expressions that lack a personal touch.” If the email reads like a template, it probably started as one.
• Over-the-top positivity and buzzwords. Have you ever received an email thrilled to have you on board, exuding great excitement and anticipation about fairly mundane news? AI has a habit of over-compensating with enthusiasm. The prose comes loaded with power-adjectives (“dynamic,” “exemplary,” “transformative”) and corporate buzzwords (“leverage,” “synergy,” “optimization”) that no normal person uses in casual email chat. It’s as if the AI wants to sound like a Fortune 500 press release – and in doing so, gives itself away.
• Perfect grammar and structured formatting. This one’s tricky, because who doesn’t love a well-written note? But AI’s perfection can be a clue. No typos, ever. No colloquial shorthand or odd little errors that slip into hurried human emails. You might also notice an almost over-structured layout: neatly bullet-pointed lists, consistent phrasing, and paragraphs that read like they were edited by a pro (because, well, an AI pro did it). An email that’s suspiciously polished from top to bottom – especially if the sender isn’t known as a wordsmith – might just be running on AI autopilot.

None of these signs alone prove an email was AI-written – humans can be formal and upbeat, too. But if you start seeing multiple red flags in one message (and a sudden change from a person’s usual style), you might reasonably suspect there’s an algorithm behind the scenes holding the pen.

​HERE'S WHAT AI-WRITTEN EMAILS SAY ABOUT THE SENDER​

TailorLabs AI Lets You Edit Hours of Video by Text

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Adrian Humphrey built TailorLabs AI after staring down 47 untouched hours of interview footage and wishing he could simply tell his computer, “Give me a two-minute highlight reel with upbeat energy.”

Now you can do the same: upload raw clips, describe the mood and length, and the platform returns a finished cut—music, transitions, and all—because its multimodal models actually “watch” for excitement peaks, key explanations, and professional-looking shots before handing the timeline over to Remotion for real-time rendering. It feels less like software and more like handing your drive to an editor who already knows your storytelling rhythm.

Under the hood TailorLabs leans on GPT-4 and Claude for scene understanding and runs each render in its own AWS Lambda instance, so a 4K export on your side won’t bog down someone else’s marketing reel.

The serverless approach means the team pays only for compute they use while still scaling to “thousands of concurrent users” (AWS will raise the concurrency cap when they need it).

There’s no credit-card wall: drop a file, type your request, and see whether the AI nails your style before you pony up for the pro tier. For anyone who has a hard drive full of half-baked footage and no appetite for timeline wrestling, TailorLabs turns the blank-timeline dread into a one-sentence brief.

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