November 6, 2025
Happy Thursday!
Welcome to another issue of HOW TO // AI. We’re glad you made it!
Here’s what we’ve got for ya:
🎯 Use AI to Draft Your Job Description (and Catch Red Flags)
🔷 Google Gemini Canvas Launches Presentation Creation
☁️ OpenAI Commits $300 Billion to Oracle Cloud
👶 FTC Probes AI Chatbots for Child Safety Risks
🗣️ Quick Hits: Product Upgrades, Policy & Governance, Content & Discovery
Let’s get started!
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🎯 Use AI to Draft Your Job Description (and Catch Red Flags)
Write Faster, Hire Better: Let AI Spot What You Miss.
A sloppy job post can quietly drive away strong candidates. Vague requirements, biased language, and missing details make people skip your listing before they even apply.
AI can help you draft a polished description, then review it for hidden problems. This workflow produces clearer postings that attract the right talent and save you time.
Gather your role requirements.
Start with three basics: the job title, 3–5 core responsibilities, and must-have qualifications. Capture them in a quick list. No need for polish yet, this is the raw material the AI will expand.
Generate the first draft.
Copy your notes into ChatGPT and ask for a structured job posting:
Write a job description for <job title> with these responsibilities and qualifications. Use clear, specific language. Include sections for: Role Summary, Key Responsibilities, Required Qualifications, Preferred Qualifications, and What We Offer.
<Paste your bullet points here>The model will expand your list into a complete draft with professional formatting.
Run a bias and clarity review.
Before you finalize the posting, take one more step: ask the AI to critique its own draft. Instead of simply proofreading, have it actively scan for bias, vagueness, and red flags that could turn away qualified candidates.
Prompt it with something like:
Review this job description for bias, vagueness, and discouraging language. Flag gendered terms, unnecessary degree requirements, unrealistic expectations, jargon like ‘rockstar’ or ‘ninja,’ and note if salary or benefits are missing.This forces the AI to highlight issues that often slip past human reviewers, such as:
Gendered wording (e.g., “salesman,” “strong leadership in a male-dominated environment”).
Exclusionary qualifications (like requiring a four-year degree when equivalent experience would suffice).
Inflated or vague titles (“rockstar developer,” “marketing ninja”) that sound catchy but alienate serious candidates.
Unrealistic wish lists of 15+ requirements that no single person could reasonably meet.
Missing transparency around compensation and benefits, which can discourage strong applicants from applying at all.
Fix the flagged issues.
When AI identifies a problem in your text, it usually proposes alternative wording. For example, a common phrase like “fast-paced environment” might be flagged as overused or potentially stressful. The AI could suggest replacing it with something more balanced, such as “collaborative, results-driven environment.”
If the first suggestion doesn’t quite match your company’s tone or culture, don’t stop there. Ask the AI for multiple alternatives that convey urgency or energy without sounding intimidating. For instance, you could say:
Replace "fast-paced environment" with something that signals urgency but sounds supportive.You’ll get several options to choose from.
Test for scannability.
Once you’ve polished the content, step back and read the job description as if you were the candidate. Imagine you’re busy, maybe reviewing a dozen postings in one sitting. Ask yourself:
Can someone grasp the essentials (the role, responsibilities, and requirements) in less than a minute?
Are the most important details (skills, salary range, application steps) easy to spot without digging?
Does the layout use short paragraphs, bullet points, and clear headings so the eye doesn’t get lost?
AI can even help here: paste the description back into your tool and prompt it with something like,
Rewrite this so it’s easy to scan quickly, without losing clarity.You’ll get a streamlined draft that emphasizes clarity and flow.
Think of this step as quality control from the candidate’s perspective. A scannable job description respects their time, sets the right expectations, and increases the chance that qualified people will actually apply.
📌 Key takeaway: Treat AI as both your writer and your reviewer. First, draft with it, then have it critique for clarity, inclusivity, and tone. This two-step loop strips out bias and fluff, leaving you with sharper, more appealing job descriptions that draw better candidates and save you time.
Learn more at - 6 Tips for Using ChatGPT to Brainstorm Better
The Rundown: Google’s Gemini can now generate entire Google Slides presentations from a single text prompt inside Docs or Chat. Users can type something like “Create a 5-slide deck on AI in education” and Gemini builds the structure, content, and slide layouts automatically.
Details:
The new feature integrates directly with Gemini for Workspace, letting users skip manual slide creation. You start in Google Docs (or the Gemini side panel), describe your topic, and Gemini outputs a full Slides deck — complete with suggested titles, bullet points, and visuals.
Early testers say it handles outline creation surprisingly well, though design polish still requires human tweaks. The feature is rolling out gradually to Workspace Labs and Gemini Advanced subscribers.
This expansion builds on Google’s broader AI strategy: turning Gemini into a “multi-app assistant” that works seamlessly across Docs, Sheets, and Slides.
Takeaway: Gemini’s slide-generation marks a major step toward hands-off productivity inside Workspace. The message is clear: in the near future, you’ll describe what you need, not how to build it.
If your team creates frequent decks, start testing now — prompt quality will soon matter as much as design skills.
The Rundown: OpenAI signed a $300 billion, five‑year cloud contract with Oracle, one of the largest infrastructure deals ever reported in tech.
Details:
The agreement begins in 2027 and positions Oracle as a primary provider for OpenAI.
The deal aligns with the $500 billion Stargate Project, a US‑based data center buildout with Oracle and SoftBank.
Oracle’s stock rose on the news, reflecting investor confidence in long‑term AI infrastructure demand.
Takeaway: Cloud concentration is shifting. You should review your own contracts and contingency plans, since AI workloads are driving up demand, and pricing leverage is moving to a handful of providers. Expect tighter capacity and higher costs, and negotiate flexibility into your next renewal.
The Rundown: The FTC opened an inquiry into seven companies offering AI chatbots that simulate companionship, focusing on risks to children and teens.
Details:
The agency is using its 6(b) authority to demand information without immediate enforcement.
Companies must disclose how they handle data, enforce age restrictions, and inform parents of risks.
The move follows concerns that chatbots mimic human emotions and encourage trust from young users.
Takeaway: Regulatory expectations for consumer‑facing chatbots are rising fast. If you deploy or integrate these tools, audit your safety protocols, age gating, and disclosures now. Building compliance into your design today will save you from costly retrofits once enforcement begins.
Product Upgrades 🚀
🎵 Spotify now lets its free users search for and play any track on demand, removing a major restriction from its ad-supported service.
🗣️ YouTube will expand its multi-language audio dubbing feature to all creators in the coming weeks.
🔗 PayPal launched new one-to-one payment links for direct transactions, with support for cryptocurrency payments rolling out soon in the US.
Policy & Governance 🏛️
🤝 The US and China reached a framework agreement to transfer TikTok to US-controlled ownership, awaiting approval from both leaders.
⚖️ Penske Media sued Google over its AI Overviews, alleging the summaries illegally use content and damage its business.
☁️ OpenAI signed a reported $300 billion cloud contract with Oracle, set to begin in 2027 and described as among the largest in history.
Content & Discovery 📚
💊 Drugmaker Eli Lilly launched TuneLab, an AI platform giving biotech companies access to its proprietary drug discovery models.
☢️ Nuclearn raised $10.5 million to expand its AI tools that help manage documentation and business operations for nuclear reactors.
📜 The co-creator of RSS launched Real Simple Licensing, a protocol backed by Reddit and Yahoo to create a machine-readable system for AI data
🔊 Accelerate Job Descriptions With AI
UF HR’s Brent Goodman walks through a custom ChatGPT prompt that helps managers draft job descriptions faster. He shows how AI can provide structure, polish, and 80% of the first draft while leaving supervisors to fill in critical details like reporting lines and time allocation.
📫 Ask the Inbox
Q: “Job descriptions are only the start. Can AI really help with the rest of hiring, like interview prep or role announcements?”
A: Definitely. Think of the job description as your “source file” that AI can repurpose into other hiring materials. For example:
Interview prep: Ask AI to generate structured interview questions (behavioral, situational, technical) tied directly to the role’s responsibilities.
Announcements: Turn the description into a polished 150-word posting for job boards, or a shorter version for LinkedIn and internal updates.
Onboarding support: Use the description to draft a 30-60-90 day plan or a candidate welcome guide.
📌 Key takeaway: Don’t silo AI to drafting the job posting. Treat each description as raw material that can easily spin into interview guides, role announcements, and onboarding docs, keeping everything consistent in one project folder.
🤔 Got Questions?
Have a question you want answered? Email [email protected] and you just might be featured in an upcoming issue!
This newsletter is your starter kit for mastering AI with confidence. We keep things simple, show real examples, and focus on quick wins you can repeat.
Stay curious, stick with it, and watch your skills grow week by week!
Until next time :)