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- AR at $800? The Glasses That Could Kill Tabs🕵️
AR at $800? The Glasses That Could Kill Tabs🕵️
PLUS: Power Prompt to run fast, clear competition research

Welcome, AI Explorers

🧠 TL;DR – This Day in AI
Meta may launch “Hypernova” AR glasses near 800 dollars next month
Claude is moving from chat to real tasks on your files
One thing is clear: AI’s future won’t be built on code alone, it’ll be built on who dares to turn your daily life into their next data stream.
In today’s AI Spotlight :
⚡Meta may launch AR glasses
🎙️ Claude AI evolves into a file-savvy AI agent
🤖 Power Prompt helps with lightning-fast competitive research
🛠️ 4 new AI tools to boost productivity
⚡ Other AI news and developments
Read time: 4 minutes
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On my radar
AI HARDWARE
😎 Meta’s “Hypernova” AR glasses target about 800 dollars

Source: Google images
Snapshot: Leaks point to a right-eye display, a camera, and a neural wristband that reads tiny muscle signals for gestures. Price now rumored near 800 dollars including the wristband, with reveal at Meta Connect on 17 Sep and preorders before October.
What is the underlying point ( my take) ?
If this price lands, I expect AR to slip into daily habits fast. Think heads-up directions, live translation at a cafe, or a memory bookmark for what you saw at a store. I want true hands-free capture and a Do Not Disturb for face-to-face chats. If Meta misses battery life or comfort, the glasses will stay in the drawer.
🧰 Claude as an “everything” agent on your files
Snapshot: A new workflow shows Claude Code working with a local notes app to read and write files, spawn sub-agents for research, and keep working while you are away. This is shown by a creator tutorial, not a formal product manual. [Unverified] Based on observed behavior in demos.
What is the underlying point ( my take)?
I expect desktop assistants to become OS-level helpers that clean folders, keep a rolling brief on projects, and draft status emails without asking. What I want next: a task ledger that logs every file touch, clear permission prompts, and a panic stop. If those are missing, trust will be the blocker, not model size.
Power Prompt
Competitive Research
When to use it
Before a pitch or planning meeting
When you must compare features, pricing, and user pain points fast
How it works
Role is market analyst. The prompt pulls facts from your sources, builds a table, and runs a self-check pass to mark weak evidence. You paste source text or URLs. It returns facts, gaps, and a talk track you can use. LLM behavior notes: [Inference] It may generalize from patterns in the data. Ask for sources in the output.
Pro tips
Feed release notes, docs, G2 or App Store reviews, and pricing pages.
Ask for a sales one pager by role, for example CFO vs Head of Ops.
Swap the table for CSV if you want to drop it into a sheet.
Add a time box line if you need a fast cut, for example “stop at 10 minutes and output what you have.
Key takeaway: This prompt turns raw links into a table you can defend in a meeting, with sources next to every claim.
Copy/Paste the prompt from here
AI Toolbox Spotlight
Trending AI tools
📝 Spinach AI- meeting to CRM without effort
What it does: records the meeting, transcribes, and pushes tasks and CRM updates after the call.
Standout use: busy teams that forget to log notes.
Worth noting: easy summaries and task capture.
What I want next: clearer consent prompts and a do not record switch per invitee.
🎨 Higgsfield- draw to video and product to video
What it does: turn a sketch or a single product photo into a short video.
Standout use: quick ad concepts and explainer clips.
Worth noting: speed is the hook, detail can vary by scene.
What I want next: style locks for brand kits and a scene timeline.
🔐 Hyprnote- private, on device meeting notes
What it does: captures meetings on your machine and returns a private summary.
Standout use: founders and consultants with confidentiality needs.
Worth noting: light and fast, no cloud by default.
What I want next: team share with redaction rules.
🧭 Perplexity Comet- a browser with an AI guide
What it does: reads pages, gives clean summaries, and helps you move through results with fewer tabs.
Standout use: quick research sprints.
Worth noting: beta features will change.
What I want next: evidence view that pins every quote to a live source.
Key takeaway: Pick by bottleneck: Spinach for admin lift, Higgsfield for quick video drafts, Hyprnote for private notes, Comet for tidy research.
Quick Bytes
🧪 GPT-5 outperforms medical interns in a lab setting- better diagnostic reasoning on multimodal cases; real hospitals are messier, so treat as early signal.
💬 Claude can end a harmful chat- new safety behavior lets it stop a session after repeated bad requests.
📰 Google AI summaries reduce publisher clicks- some outlets saw about ten percent drop over eight weeks.
🧯 Otter.ai faces a class action- allegations of joining and recording calls without full consent.
🧠 OpenAI staff share sale near six billion dollars- soft bank and others, reported valuation near five hundred billion dollars.
Key takeaway: Progress is fast, but safety, consent, and source credit will shape what users accept.
Reply with your view: Which story should lead next issue and why?
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