Google Tests Nano Banana 2 Flash

LG Dystopian Laundry Robot

Author

Altiam Kabir
January 05, 2026

In partnership with

AI PlanetX

Welcome to another edition of AI PlanetX.

Google tests ultra-quick Nano Banana 2 for Gemini; LG teases a laundry-folding robot as Yann LeCun exits Meta and takes aim at its AI leadership.

Inside This Edition: 💎

  • Hottest AI News

  • Top AI & SaaS Tools

  • AI Tutorial: Do Months of SEO Work in 1 Hour

  • Top AI & Tech News

  • AI Art Spotlight

  • Prompt of the Day: Grok Imagine Prompting Guide

  • AI Video Tutorial

  • Course of the Day: AI Agents Course by Hugging Face

Hottest AI News

DeepMind

Google Tests Rapid Nano Banana 2 Flash Model For Gemini Lineup

A reliable leak from MarsForTech suggests that Google is testing an image AI model codenamed “Nano Banana 2 Flash,” reportedly offering quicker generation and better visual quality.

Details:

  • It joins the Gemini Flash lineup as a quicker and more affordable option, though it will not be as powerful as the current high-end "Nano Banana Pro" (Gemini 3 Pro Image)

  • The Pro model remains the standard for complex tasks requiring deep reasoning and real-world knowledge, such as creating accurate prototypes, diagrams, storyboards, and search-grounded visuals

  • While the latest Flash model is expected to be similar in function, it is built for speed rather than the heavy-duty accuracy and comprehension required for difficult creative work

As Google continues to expand its AI portfolio, this development suggests a future where users can choose between maximum speed or maximum creative intelligence.

The CX platform redefining AI’s next decade

In customer experience, cost savings don’t mean much if loyalty declines.

Gladly helps brands achieve both—maximizing efficiency and lifetime value.

With 240M+ conversations powered and $510M in cost savings delivered, Gladly has the evidence that customer engagement, not deflection, drives stronger economics. Our unified architecture and context-aware AI enable brands to serve customers faster, more personally, and with higher satisfaction—without compromising long-term profitability.

Explore the awards, research, and momentum behind this shift in our Media Kit.

LG

LG Teases Laundry Folding Robot With A Dystopian Convenience Vibe

LG is teasing a bold vision for a “zero-labor home” at CES this year with the reveal of CLOiD, a sophisticated robot designed to act as a mechanical butler, chef, and maid—aimed at handling everyday chores and managing household tasks.

Details:

  • Boasting a more impressive build than competitors like SwitchBot’s Onero H1, CLOiD features a torso that tilts and fully articulated arms with seven degrees of motion, giving it extreme dexterity

  • It functions as a “smart home hub with hands” that integrates seamlessly with the ThinQ ecosystem to manage appliances, while interacting with users through spoken language and an expressive face

  • While the concept sounds convenient in a slightly dystopian way, it remains to be seen if consumers can afford such technology or actually want a robot wandering their home, despite LG’s hope

Whether this becomes the norm or remains a futuristic luxury is unclear, but LG is banking on the idea that we are ready to hand over our household chores to a machine.

Top AI & SaaS Tools

  • Fabrile (Life-time Deal): No-code AI chatbot builder that trains on your data to automate support, qualify leads, book meetings, customize tone/behavior, and deploy across web and apps

  • Claude Chrome: Claude in Chrome currently has browser interaction capabilities — it can navigate, select, type, and fill forms

  • Wave 13: Windsurf shipped Wave 13 with parallel multi-agent workflows, Git worktrees, and a dedicated terminal [F-R-E-E]

  • 11 AI: Build and customise your own AI voice assistant with unique names and voices, tailored to your needs and style [F-R-E-E]

  • Kling Motion Control: Kling adds precise motion control with full-body actions, complex movements, detailed hand gestures, and expressive, lip-synced faces [F-R-E-E]

Easy setup, easy money

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AI Tutorial

How to Do Months of SEO Work in One Afternoon With Claude Code

Still doing SEO like it’s 2016 and burning weekends? Use Claude Code to map keywords to pages, build landing pages by location, audit what’s holding you back, and ship fixes in hours, not weeks.

  1. Pull site into a local folder

    In Claude Code, you want the content as files, not just vibes.

    • Export key pages to /inputs (service pages, location pages, blog posts)

    • If you have a sitemap, fetch URLs into text files (Claude Code can run curl/wget)

    Prompt example:

    “Claude Code, scan /inputs and summarize what we sell, who we sell to, and the top service categories.”

  2. Generate 25 to 50 realistic keywords

    Prompt example:

    “Using the services and wording found in /inputs, generate 50 local SEO keywords. Include service + city, problem + city, and pricing keywords. Output a CSV: keyword, intent, suggested page.”

  3. Filter for buying intent

    Keep the money keywords.

    • “quote”, “book”, “same day”, “emergency”

    • “cost”, “price”, “near me”, “currently open”

    Prompt example:

    “From keywords.csv, select high-intent terms. Tag each as Hot/Warm and explain why in 1 line.”

  4. Map each keyword to one page

    Prompt example:

    “Create a page map: keyword → slug → primary CTA → 3 supporting sections (trust, process, FAQs). Avoid duplicate angles.”

  5. Generate landing pages

    Prompt example:

    “Create a reusable local landing page template for this business. Then generate pages for the top 15 keywords in page-map.csv. Each page must have unique FAQs and a unique intro, no repeated paragraphs.”

  6. Run SEO audit in Claude Code

    Prompt example:

    “ultrathink. Audit these pages in /pages for on-page SEO issues: titles, H1s, internal links, thin sections, duplicate copy, missing FAQs. Output fixes as a checklist per page.”

  7. Fix technical issues

    • sitemap.xml and robots.txt sanity check

    • add LocalBusiness + Service schema (JSON-LD)

    • speed basics (image sizes, lazy-load, script bloat)

    Prompt example:

    “Create the exact JSON-LD schema for this business and insert it into the page template. Then generate a technical fix list ranked by impact.”

  8. Spin up sub-agents to research

    Claude Code subagents can work in parallel with separate context.

    Prompt example:

    “Create 3 subagents: CompetitorScanner, OfferExtractor, ContentGapFinder. Each should analyze the top competitors for [service] in [city] and return actionable improvements for our pages.”

Note: Build a simple city coverage section. List nearby areas you actually serve to catch long-tail searches.

Top AI & Tech News

  • Yann LeCun, Meta’s departing AI chief, revealed details of his startup and criticized Meta, calling Alexandr Wang inexperienced and saying more staff will leave

  • Elon Musk replied to Midjourney founder David Holz’s post on AI coding, saying “we have entered the Singularity”

  • Amazon has launched Alexa to bring its AI-powered assistant, Alexa+, to the web for Early users

  • About 60% of people currently begin daily tasks with AI instead of traditional search engines, showing a clear change in everyday habits

AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:

Visualize INPUT: [PRODUCT/BRAND]

Create a surreal minimalist photoreal print-ad using the INPUT only. Auto-detect the brand from the INPUT and add the brand’s REAL official logo (not a generic wordmark), high fidelity, correct proportions, clean vector/print look, placed top-left with subtle ink-like texture. Use one bold visual metaphor, 1 hero + 1 accent max, huge negative space, studio lighting, 8K ultra-sharp, premium print-ad composition. Add a two-word slogan bottom-right that matches the brand tone. No clutter, no watermark, no extra text. Aspect ratio 1:1

Model: Nano Banana Pro

Prompt of the Day

Grok Imagine Prompting Guide for Better Results

This guide shows how to get cinematic, high‑quality results from Grok Imagine by prompting with clarity, emotion, and structure instead of simple descriptions. It teaches you to think like a director, use mood‑driven language, control composition with camera terms, and apply a simple five‑part prompt formula to stay consistent.

Top AI Video Tutorial

How to Solve the Biggest Problem: Hallucinations in AI

AI Course of the Day

AI Agents Course by Hugging Face

Hands-on AI agents course covering fundamentals through building and deploying agents with smolagents, LlamaIndex, and LangGraph. Learn via concise theory, ready-to-use Hugging Face Spaces, real-world assignments, and a final leaderboard project, with optional extras on fine-tuning, observability, and agent games.