JULY 9, 2025

• PromptCraft: Use Social Media Feeds for a Loved One's Birthday; Writing Prompts That Rarely Fail; 5 More Tricks to Turbocharge ChatGPT Results​
• AI Isn't Why Your Job Is in Danger, This Is​
• THE HEADLINES
• Tool Spotlight: Sara Is a 24/7 AI Interviewer That Can Slash Hiring Time

Use Social Media Feeds for a Loved One's Birthday; Writing Prompts That Rarely Fail; 5 More Tricks to Turbocharge ChatGPT Results

• ​CIA-Style Birthday Weekend Architect – A 3-day, <$2.5 k surprise plan generator that scrapes your spouse’s social posts, infers personality profiles, and outputs budgeted itineraries plus vendor checklist. reddit.com​
• ​Spot-the-Difference Puzzle Duo in One Prompt – Copy-paste this “prompt formula” and GPT (with image tools) generates two side-by-side cartoons with kid-friendly differences—no Photoshop needed. reddit.com​
• ​Five More Prompts for Brain-Fog Days – “Fog Breaker,” “Chaos Sorter,” and three other gentle scripts that help you reorient, triage tasks, decompress after draining socials, and score tiny wins on rough days. reddit.com​
• ​Prompts for Preventing the Burning of Spurious Deep-Research Tasks? – Long‐haul users describe how ChatGPT sometimes “forgets” multi-day research chains. The thread crowdsources prompt patterns for forcing periodic state dumps and context summaries so you can reload work without burning your single daily Deep-Research credit. reddit.com​
• ​How to Write Prompts That Rarely Fail: A Proven 5-Step Method – Post lays out a tight checklist: (1) set a role, (2) define the exact deliverable, (3) load all context, (4) specify the response format, (5) attach a mini-example. Users report big drop-offs in hallucinations when they paste the structure verbatim. reddit.com​
• ​Five Tiny Prompt “Tricks” That Turbo-Charge Your Results – Bite-size code-words (ELI5, TL;DR, Jargonize, Humanize, Feynman) that you tack onto any request. Each cue forces the model into a specialised compress/expand mode, giving faster, cleaner answers with almost no prompt-engineering overhead. reddit.com​
• ​“Ask Before Answering” Prompt Technique – Simple add-on line (“Ask me what you need to know before answering”) prompts the model to query missing details first, then solve with sharply-targeted output. Example shows a vague jewellery-marketing ask transforming into a customised 8-week plan after ChatGPT’s clarifying questions. reddit.com​
• ​ChatGPT Falsifying Evidence – A user finds GPT inventing citations, then doubling-down with doctored page “screenshots.” Thread discusses defensive prompts (e.g., “Refuse rather than fabricate”) and cross-checking routines to keep legal-research chats from spiralling into false authority. reddit.com​

AI Isn't Why Your Job Is in Danger, This Is

Or, What My 25-Year-Old Eyeglasses Taught Me About Artificial Intelligence

As of 2025, I’ve had the same pair of glasses for 25 years.

Thankfully, my vision hasn’t changed much in that time, as an eye exam I had about six years ago indicated.

Aside from my one-year-old-at-the-time getting hold of them and twisting them up like a pretzel about a decade ago, they’re no worse for wear.

Maybe a little crooked, but if I tilt my head like a dog trying to figure out who’s the good boy, it all evens out.

Even so, I almost made a terrible mistake a couple of months ago.

AI, as you know, has become sort of my thing. So I wouldn’t be very AI-savvy if I didn’t go purchase a pair of Meta’s Ray-Ban Smart Glasses, would I?

I went to the eyeglass shop at Central Mall in Fort Smith. A very friendly woman let me try on a pair and gave me the rundown about them.

• Live video streaming
• Take pictures
• Listen to music through the bone induction tech
• Access everything through an app later on whenever you feel so inclined

Shiny Object Syndrome is real, y’all, and I almost bit on it. Insurance would have paid $100 of the $399 price tag.

But something stopped me from handing over my card. Well, a few things, actually.

​3 REASONS I DIDN'T BUY, AND WHAT THAT HAS TO DO WITH THE REAL REASON WE'RE REPLACEABLE​

Sara Is a 24/7 AI Interviewer That Can Slash Hiring Time

Kareem Ayyad’s team built Teammates.ai after a single role drew 1,400 applicants, and the humans simply ran out of hours. Their first hireable “colleague” is Sara, a voice-first interviewer who can run thousands of conversations at once, in more than 50 languages and dialects, then return a structured, bias-checked report recruiters can scan in minutes.

Because Sara is powered by a network of specialised agents—one governs question logic, another handles guardrails, a third scores answers—she behaves less like a chatbot and more like a recruiter who never sleeps, asking progressively deeper questions and flagging soft-skill signals human screeners often miss.

Plug-and-play hooks for Greenhouse, Lever, Workable, and Zapier mean teams can start screening the same day; from there, Sara typically shrinks a 40-day hiring loop to under a week while cutting first-round costs by about 85 percent.

Everything is auditable: instead of relying on LLM temperature quirks, the system turns each answer into features and benchmarks them against past top performers, so hiring managers see explainable scores rather than AI guesswork.

Teammates.ai calls this “infrastructure for delegation,” and the roadmap is already filling out—Raya for support and Rashed for sales are next in the queue, each meant to own an entire business function the way Sara now owns early-stage interviews.

​Read All mAIn Street Back Issues Here​

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