December 19, 2025

Happy Friday!

Welcome to another issue of HOW TO // AI. We’re glad you made it!

Here’s what we’ve got for ya:

  • 🛠️ Turn Support Chats into a Self-Serve FAQ

  • 🍌 Nano Banana Pro

  • 🗣️ Alexa+ Will Soon Try to Upsell

  • 👗 Are AI Models in Vogue?

  • 🗣️ Quick Hits: Product Upgrades, Policy & Governance, Content & Discovery

Let’s get started!

Turn AI into Your Income Engine

Ready to transform artificial intelligence from a buzzword into your personal revenue generator

HubSpot’s groundbreaking guide "200+ AI-Powered Income Ideas" is your gateway to financial innovation in the digital age.

Inside you'll discover:

  • A curated collection of 200+ profitable opportunities spanning content creation, e-commerce, gaming, and emerging digital markets—each vetted for real-world potential

  • Step-by-step implementation guides designed for beginners, making AI accessible regardless of your technical background

  • Cutting-edge strategies aligned with current market trends, ensuring your ventures stay ahead of the curve

Download your guide today and unlock a future where artificial intelligence powers your success. Your next income stream is waiting.

🛠️ Turn Support Chats Into a Self-Serve FAQ

Every support team has the same problem: the same questions show up again and again. The fix isn’t more agents—it’s turning what you’ve already answered into something customers can find instantly.

Cut repeat tickets. Give customers answers instantly.

If customers keep asking the same “How do I…?” questions, your support inbox already contains your best FAQ. In under an hour, you can turn last week’s solved tickets into a clean help page and publish that OR, even better, you could then plug that into an AI support SaaS so customers get instant answers before they open a new ticket.

Step 1: Export the last 7 days of solved tickets

Keep only the conversation text (customer + agent). Remove IDs, tags, internal notes, and anything that isn’t dialogue. Strip personal info like names, emails, order numbers, and addresses. Save it as support_raw.txt.

Step 2: Generate your first draft FAQ in ChatGPT

Paste this prompt, then paste the transcript:

You are a customer-support analyst. Create a public FAQ from the chat log below. Group similar questions. Use H3 headings. Keep answers under 120 words. Write in plain language.

Step 3: Clean it up (fast)

Scan for duplicates and internal-only links (admin URLs, internal docs). Then run:

Remove duplicate questions. Delete internal-only links (anything with /admin or ‘internal’). Keep the same headings.

Step 4: Spot-check the top 5 questions

Verify answers against your docs and the live product flow. If one answer is wrong, fix only that entry:

Update FAQ #__ using this correct info: ____. Keep everything else unchanged.

Step 5: Publish + automate support with an AI SaaS

Once your FAQ is live, you have two good paths:

  • Traditional support AI (best if you already use a helpdesk):

    Tools like Intercom Fin, Zendesk AI, and Forethought can answer directly inside your support chat widget using your help center content, deflect repetitive tickets, and hand off to agents when needed.

  • “Bring-your-own-knowledge” chatbots (best for a fast fan/customer FAQ bot):

    Tools like CustomGPT (and similar “upload your docs + get a chatbot” platforms) let you upload your FAQ, docs, and even cleaned ticket exports to create a branded chatbot you can embed on your site—often with less setup than a full helpdesk workflow.

📌 Key takeaway: One export, one clear prompt, one cleanup rule, and one targeted accuracy pass turns raw support chats into a polished FAQ—then an AI SaaS can serve those answers 24/7 so customers get clarity before they file another ticket.

More info on this topic can be found at - Microsoft: Using ChatGPT for creating FAQs and help documents

🍌 Nano Banana Pro is Google DeepMind’s newer “Pro” image model

The Rundown: Google DeepMind released Nano Banana Pro (aka Gemini 3 Pro Image), a new image generation + editing model aimed at studio-quality visuals, better text-in-image, and more controlled edits—now rolling into Gemini and Google’s pro tools.

Details:

  • 🍌 Two tiers now exist: Google positions the original Nano Banana for fast, lightweight edits and Nano Banana Pro for complex, high-quality compositions. 

  • 🖼️ Higher fidelity + bigger outputs: Tech coverage notes Nano Banana Pro supports higher-res generations (including 2K/4K), with improved control—but it’s slower/costlier than the base model. 

  • 🧰 Where it shows up: Google says it’s rolling out in the Gemini app (Create images / Thinking model), Google AI Studio, Google Ads, and select experiences like Search AI Mode (U.S.) and NotebookLM for subscribers.

Takeaway: Nano Banana Pro is Google’s push from “fun image gen” to serious creative production (ads, diagrams, infographics), and it’s already forcing competitors to respond—OpenAI’s latest image updates were positioned as a direct answer to Nano Banana’s momentum.

The Rundown: Amazon CEO Andy Jassy revealed plans to introduce advertising into Alexa+ conversations, potentially creating a new revenue stream for the company's AI assistant that has historically been a financial drain.

Details:

  • Jassy told investors there will be "opportunities to have advertising play a role to help people find discovery" during multi-turn conversations with Alexa+.

  • The CEO also hinted at "some sort of subscription element beyond what there is today," suggesting a possible ad-free tier option in the future.

  • This move comes despite Alexa+ already costing $19.99 monthly, indicating a further industry push to monetize AI assistants.

Takeaway: Amazon joins Google, Microsoft, and potentially OpenAI in exploring advertising within AI assistants, signaling a broader industry shift toward monetizing conversational AI through ads regardless of consumer sentiment.

The Rundown: Guess clothing ads featuring AI-generated models are being used more and more across fashion publications of all types, sparking debate about the implications for real models, diversity in fashion, and unrealistic beauty standards.

Details:

  • The AI models were created by Seraphinne Vallora, a London-based AI marketing agency whose founders claim they still hire real models before creating AI versions.

  • Critics have called for boycotts against both Guess and Vogue, with concerns about replacing human models and creating unrealistic beauty standards.

  • Other brands like Mango, Levi's, and H&M have also experimented with AI models, with H&M recently creating AI "twins" of 30 real models.

Takeaway: Multiple industries face critical questions about job displacement and ethical implementation, with some brands not disclosing their use of AI models since there's currently no legal obligation to do so.

Product Upgrades 🚀

👁️ Zuckerberg envisions personal AI “superintelligence aimed at helping individuals reach goals and grow.

🧠 Google rolls out Gemini Deep Think, a multi-agent model that tests ideas in parallel for stronger reasoning.

Policy & Governance 🏛️

🏫 The Education Department released guidelines for schools on AI integration through federal grants.

🇺🇸 White House AI Action Plan pushes U.S. AI leadership and a single national framework instead of a patchwork of state rules.

Content & Discovery 📚

🚫 Anthropic restricts OpenAI's access to Claude over alleged ToS violations (while allowing limited benchmarking/safety use).

💸 Delta faces backlash over AI-powered pricing, as the airline's implementation of AI for fare setting has triggered pricing concerns.

🔊 Ultimate Guide to Create a Customer Service Bot

In this video, you’ll learn how to build an AI agent that doesn’t just talk, but actually automates your business tasks and books meetings. We show you how to turn your static documents into a 24/7 "digital employee" that answers every customer question with 100% accuracy. Stop wasting time on repetitive support and start scaling your workflow with the latest 2025 AI tools.

📫 Ask the Inbox

Q: “Do I really have to re-explain my tone, format, and context every time I start a new chat?”

A: No—set it once with Custom Instructions (and optionally a ChatGPT Personality) so new chats start in your default style automatically

How to set it up (2 minutes)

#1 Web / Desktop

  1. Open Settings → Personalization

  2. Toggle Enable customization ON

  3. Add your default instructions (tone, format, audience, length), then save

#2 iOS / Android

  1. Open Settings → Customize ChatGPT

  2. Toggle Enable customization ON

  3. Add your default instructions, then save 

What to put in your instructions (keep it short)

  • Who you are + audience (1 sentence)

  • Output rules (ex: “Start with bullets, then a short paragraph. Keep answers under 120 words unless I ask.”)

Override any time

Need a one-off style? Just say it in the prompt—your message for that chat takes priority.

📌 Key takeaway: Save your “evergreen” voice and formatting once, then only change what’s different in the moment.

🤔 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 :)

Keep Reading

No posts found