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Issue 6 · · sent to our list

See you at SomethingTech

Another big week in the Sunshine Coasts vibrant ecosystem!

Over the past few weeks we’ve been in workshops, warehouses and cafés listening to local teams talk about what’s working (and what’s not) with AI. It’s reminded us that real progress is rarely flashy: it’s careful privacy choices, tidy workflows, and tools that actually get used. Next week we’ll be at SomethingTech with a small exhibition stall, showing our privacy-first local AI machines and how Gemini + NotebookLM can act as a simple “digital brain” for your business. If you’re around, come say g’day — even if it’s just for a quick coffee and a chat about where AI can give you back a few hours each week.

We’re exhibiting at SomethingTech (Brisbane)

We’ll be on the floor at SomethingTech, Thu–Fri 28–29 Aug, Howard Smith Wharves. Theme: Reimagining Human Intelligence — two days of Tech Talks, panels, trade show, River Rival pitch event, and new networks. If you’ll be there, swing past our stall to talk privacy-first AI and practical workflows with ChatGPT / Gemini / NotebookLM. (Advance Queensland, somethingtech.com)

Want to meet? Reply “Meet” with your preferred day/time.


News this week (relevant + immediately useful)


Feature: The “AI psychosis” headline cycle — signal vs noise

You’ve seen the “AI psychosis” chatter. Here’s the sober read:

Our stance: Using AI for research and drafting is net positive when done properly (clear questions, time-boxed sessions, triangulated sources, confidentiality controls).

Micro-playbook: Deep Work with AI (5 rules)

  1. Write the exact question you’re answering.
  2. 25-min research sprints → 5-min _model-off_ synthesis.
  3. Ask for 3 sources per claim; verify in NotebookLM. (blog.google)
  4. Prompt for red-team: _“List 3 reasons my conclusion might be wrong; cite.”_
  5. For sensitive work, use on-prem or Temporary Chats. (blog.google)

Privacy-First AI Stack (SMB)

Deep Dive: Privacy-first AI you control (and how Gemini/NotebookLM fit)

Plenty of firms want AI without shipping sensitive data to remote servers. That’s why we’ve been building local AI machines (on-prem “AI appliances”) and pairing them with Gemini + NotebookLM.

Why local/on-prem?

(Edge/on-device is broadly cited for privacy/security benefits.) (thehansindia.com)

Where Gemini/NotebookLM slot in:

Quick comparator

| Use case | Local/Edge (on-prem) | Cloud (ChatGPT, Gemini etc.) | | --- | --- | --- | | Confidential docs | Best | Good w/ strict policies | | Vision on factory/site | Best (latency) | OK if bandwidth solid | | Heavy reasoning/creative | Optional | Best (latest models) | | Setup effort | Higher | Lower |


The stat that matters (fixed)

AI has moved from experimentation to execution. McKinsey’s latest survey: >75% of organisations use AI in ≥1 function, and ~21% of gen-AI users have redesigned workflows to capture value. Translation: the winners are rewiring processes, not just trialling tools. (McKinsey & Company)

Bonus stat — practical: Docs → Audio is already rolling this week across Workspace tiers and AI Pro/Ultra; desktop, English-only for now. (The Verge)


Where to find us next week

SomethingTech, 28–29 Aug (HSW). Come see how NotebookLM becomes your team’s “digital brain” and other local AI demos we will have on display (somethingtech.com)

Can’t make it? Reply “Audit” for the 1-pager on our $2,500 AI Opportunity Audit.


Sources (key items)

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Method. Found by AI asks ChatGPT, Claude, Perplexity and Google's AI the questions real buyers ask for each category, then measures which businesses the engines actually name. Scores are 0–100 point-in-time measurements; the index re-scans and grows automatically. Businesses listed here were selected and measured by us from public directories, scan your own site free to see where you'd rank. Queries and methodology are open: github.com/techhorizonlabs.