Author: Pavel

AI updates: Quick wins from Gemini, Claude, and NotebookLM

You’re juggling deadlines, inbox chaos, and a million tiny tasks. You don’t need another buzzy feature—just things that shave minutes off repetitive work. Good news: this week’s AI updates do exactly that. They turn waiting into doing, make voice chat actually usable, and push AI from “chat” to “do my work for me.”

Stop waiting — get push notifications for NotebookLM

NotebookLM quietly added push alerts for Studio generations. Start a flashcard set, slide deck, or infographic on your desktop. Walk away. Your phone pings when the asset is ready.

Why it matters

• No more refreshing the tab. You save an estimated 5–15 minutes per asset.
• First-time mobile generation asks to enable notifications—tap “Yes” once and you’re done.
• Small tweak, big flow improvement when you’re juggling builds and meetings.

Do this next

1. Start a generation on desktop.
2. Enable notifications on mobile when prompted.
3. Leave and finish something else. Ping = product shipped.

Example: you kick off a slide deck on your lunch break, come back 12 minutes later, and it’s ready to polish. Tiny win, but it stacks.

Make live chat feel human

Gemini’s been in overdrive. The updates mean faster replies, longer context, and music that actually resembles a song.

Key changes

• Gemini Live 2.0 — Now powered by the Gemini 3.1 Flash model. Replies are faster and stay on-topic thanks to a doubled context window.
• Improved voice transcription — The mic button no longer sends your message when you inhale. Pause mid-thought without fear (Android live; iOS rolling out).
• Lyria 3 Pro — Generates up to three-minute tracks and understands song sections (intro, verse, chorus). Prompts like “lo-fi hip-hop with a mellow intro” now produce structured results. Available in paid tiers and certain workflows.
• One-click memory import — Export a pre-written prompt, paste it into another assistant, then copy the reply back into Gemini. Your preferences follow you.

Why you should care

• Faster, contextual replies mean fewer follow-ups and less editing.
• Better voice support makes on-the-go brainstorming usable, not frustrating.
• If you make short music beds or need quick soundtracks, three-minute output is a real step up.

Mini-test to run

• Ask Gemini to draft a 30-second talking point, then request a 3-minute background loop with an intro and chorus. Compare how quickly you get usable audio and text.

Turn Claude into your 24/7 desk buddy

Anthropic keeps shipping features that actually change workflows. Claude is moving from “chat” to “do.”

What’s new

• Projects = Smart Workspaces — Each project keeps its instructions, files, and memory. Jump back in without re-explaining context.
• Computer Use (Desktop Agent Mode) — Enable in Settings → General. Claude can capture screenshots, move the mouse, and type for you. That lets it automate apps without official integrations.
• Mobile work tools — Figma mock-ups, Canvas slides, and analytics dashboards now work well on phones. Claude is becoming an on-the-go agent.

Why it matters

• Projects reduce repetitive setup. You save context-switching time and confusion.
• Desktop Agent Mode automates fiddly tasks—grab a Keynote, email it, and move on.
• Mobile tools mean fewer “I need my laptop” moments.

Check Siri’s future routing — pick the assistant you want

A leak suggests iOS 18 may let Siri route queries to any AI model installed on your device. Imagine: “Hey Siri, summarise this PDF with Claude” or “Rewrite this paragraph using Gemini.”

If true, that lowers friction for experimenting with different assistants. We’ll believe it when Apple announces it, but the idea matters: assistant choice could be as easy as installing an app.

Skip the Sora panic — context on the shutdown headline

You might’ve seen “Sora shutdown” headlines. Don’t panic. The notice referenced a small third-party app with the same name. OpenAI’s text-to-video research continues internally. Sora’s public status? Not at dead yet.

Why it all matters

• NotebookLM’s notifications save minutes daily.
• Gemini’s speed and music tools make it a serious contender for live-chat and creative tasks.
• Claude’s desktop control and mobile power blur the line between chat and coworker.
• If Siri routing lands, switching assistants becomes frictionless.

Quick checklist — Try this in 15 minutes

1. Start a NotebookLM generation and enable mobile notifications.
2. Ask Gemini Live for a short script, then request a three-minute ambient track. Time both requests.
3. Create a Claude Project, toggle Desktop Agent Mode, and have it pull one file for you.
4. Bookmark this post and check Apple news after the next keynote.

Small, practical updates beat hype—use notifications, better voice, and desktop automation to reclaim minutes and reduce friction.

Ready to get hands-on? If you want beginner-friendly lessons that show exactly how to use these AI features, start at tixu.ai beginner-friendly lessons.

How average people are quietly turning ideas into six-figure realities with agentic AI

You feel the shift, right? The last two weeks moved the whole industry into fast-forward. Prompting a chatbot already feels quaint. Now you’re seeing agentic AI: systems that act like whole teams, take high-level instructions, and run 24/7.

This is a field guide. Read it and you’ll know which tools actually pay, how to run a local “staff,” and how ordinary people spin up revenue-generating projects in 48 hours. Ready when you are.

Lead with the right paid plan — pick what pays back

If you write, brainstorm, or do light research, start cheap. ChatGPT Plus or Google Gemini Advanced at about $20/month gets you multimodal models, image generation, file uploads, and enough rate limit to experiment.

If you need nonstop work — market analysis, product ops, or customer pipelines — step up to pro. ChatGPT Team or Anthropic Claude 3 Opus (with Co-worker agents) cost $200+/month. You get bigger context windows, faster throughput, and the ability to spawn multiple specialized agents in one workspace. That difference pays for itself if you automate a single $2–3k/month client.

Build a local “staff”

Not every idea belongs in the cloud. You can run powerful open-weight models locally. Install an agent framework (CrewAI + Ollama, AutoGen, OpenInterpreter) on an M2 or M2 Pro Mac mini. Point it at a 70B model like Llama 3 or Mixtral, and you get:

• Persistent local memory that saves files like a human.
• Unlimited sub-agents: marketer, engineer, support rep.
• Full OS access to send emails, register domains, or place Twilio calls—24/7.

It’s like hiring an employee who never sleeps and bills no overtime. Users report workflows running up to 70–85% faster when routine tasks are offloaded.

Why timing is the unfair advantage

For 20 years, launching required capital, a team, and months of build time. That friction killed most small bets.

Agentic AI vaporizes that friction. Suddenly a weekend can fix a late-night missed HVAC call, automate appointment scheduling, or recover abandoned carts. Millions of micro-niches become profitable if you move fast. That window is wide today—and it’s narrowing fast.

Do this in 24 hours

1. Open TikTok. Search “AI agent tutorial.” Watch the most recent 40 demos. Copy what works.
2. Jump to X (Twitter). Follow people demoing projects, not just theorists.
3. Clone a GitHub repo and run it locally. Break it. Fix it. Hands-on beats theory.
4. Block 30 minutes daily for an “agent lab.” Momentum compounds.

The $500K playbook — one leak per client

1. Choose a boring, high-margin niche (sprinkler repair, medical billing, property management).
2. Walk into a local shop and ask, “Where do you lose money most?”
3. Patch that leak with an agent (missed calls, slow quotes, forgotten follow-ups).
4. Deliver the fix for free, then charge $2–3k/month to maintain it.
5. Rinse and repeat across 15–20 clients.

Do the math: 15 clients at $2.5k/month = $450k/year. No hiring. No bespoke software.

Tools worth paying for (and when to avoid them)

• ChatGPT Plus / Gemini Advanced — cheap and great for exploration.
• ChatGPT Team / Claude 3 Opus — pay when you need scale and multi-agent workflows.
• Ollama, AutoGen, OpenInterpreter — use these if you need privacy or want local control.
• Twilio — add phone interactions. A single integration can double your conversion on missed calls.

Quick checklist — launch a revenue bot this weekend

• Pick one repetitive pain for a local business.
• Pick your stack: cloud pro plan or Mac mini + open-source agents.
• Automate the follow-up flow (email, SMS, phone).
• Deliver a free two-week pilot. Track conversions.
• Convert to a $2–3k/month service.

Two blunt truths

• You don’t need a CS degree. You need curiosity, a hands-on weekend, and the willingness to call real businesses.
• The only gate left is speed. The faster you adopt, the faster you lock down niche relationships and compounding returns.

Agentic AI turns tiny, fixable leaks into real revenue—fast. Pick one problem, automate it, charge for the result.

Want a beginner-friendly place to learn the hands-on skills that actually ship results? Try tixu.ai — a guided, practical AI learning platform.

Where the best AI investment opportunities live

You feel the shift. New tech rewrites the rules every few decades. AI is doing it faster than most people expected. That means opportunity — and risk — sit on the same street. This field guide points out the clearest, near-term places you can act. Read it to spot real wins, avoid fads, and pick a practical path forward.

Own beyond the GPU

Buying NVIDIA felt like owning AI. That worked — for a while.
The AI economy expands well beyond a single chip maker. GPUs matter. So do the systems, datasets, and services that run on them.

Why care now?

• GPU demand grows with model scale. But valuations already price perfection.
• That creates openings in middleware, model tooling, cloud infra, and niche accelerators.
• Short example: teams shave infrastructure cost by migrating to optimized runtimes and spot instances.

What to watch

• Companies selling model-optimization software.
• Cloud vendors offering specialized AI instances.
• Startups building dataset marketplaces and labeling platforms.

Capture mobility’s multi-trillion-dollar shift

Automated transport cuts costs. That creates new profit pools overnight. You either ride the wave or watch it pass.

Signs of change

• Tesla’s FSD keeps improving, and management signals robotaxi pilots could arrive soon. Internal models project ~$0.25 per mile in operating cost.
• Vehicle owners will rent idle time, turning depreciation into revenue.
• eVTOLs target short urban hops; FAA moves suggest commercial launches later this decade.

Why it’s investable

• Mobility touches logistics, consumer transport, and urban planning.
• Adoption multiplies revenues via network effects.
• Defense and logistics trials push the same AI into new buying channels.

Bet on healthcare’s profound gains

AI plus cheap sequencing rewrites diagnosis and treatment. This is not marginal efficiency. This is life-or-death impact.

Concrete outcomes happening now

• Earlier cancer detection via blood tests increases survival odds.
• One-shot curative therapies now exist: CRISPR-based treatments receive approvals for certain blood disorders.
• Mass-personalized medicine emerges as datasets and compute get cheaper.

Numbers that matter

• Regulatory wins make commercial rollouts plausible this decade.
• Personalized drug design shortens R&D cycles by large percentages (early projects report 30–60% faster iterations).

What to track

• Startups combining ML with sequencing pipelines.
• Platform players building regulation-ready workflows.
• Clinical partners running late-stage trials.

Get ready for humanoid robots

If cars navigate streets, robots can handle factory floors and care tasks. The timeline is longer. The market could be enormous.

Reality check

• Prototypes like Tesla’s Optimus show delicate manipulation now.
• Estimates suggest trillions of dollars of long-term demand as labor shortages grow.
• Expect a gradual revenue ramp. This is a patient bet.

Let natural-language coding multiply your output

You don’t need to memorize syntax anymore. Describe what you want. The model writes production-grade code.

Immediate wins

• Faster internal tools let you build instead of buy.
• Small businesses get cheap personalization.
• Non-technical staff prototype ideas, creating a creativity boom.

Early metrics

• Teams using LLM coding assistants report 50–70% faster prototyping on average.
• That translates to lower burn and faster validation.

How to position yourself

Short, practical checklist. Do these.

1. Diversify across the stack. Hardware, software, mobility, biotech, and robotics all ride the same curve.
2. Favor recurring revenue. Platforms and networks compound better than one-off hardware sales.
3. Keep learning. Skill half-lives shrink. From prompt engineering to basic genomics, hands-on practice pays.
4. Match horizons to theses. Robotaxis may scale in five years; humanoids take longer. Patience is an edge.
5. Track macro productivity. Past tech waves lifted real GDP from ~0.6% to 3% annually. Some analysts see a plausible path to 7%+ with five converging platforms.

AI won’t replace you—someone better at AI will. Be that someone.

Do this next

• Sign up for one hands-on course this month. Try a cloud AI instance, a coding-assistant, or a simple sequencing dataset.
• Pick one sector above and follow three startups or public firms for signal.
• Rebalance any concentrated positions that assume a single company wins everything.

AI is creating practical, investable opportunities across mobility, health, robotics, and developer tooling. Pick a focus, diversify, and learn fast.

Ready when you are. Start with a beginner-friendly AI course at tixu.ai — a practical place to learn prompts, models, and hands-on workflows.

AI side hustles you can start with a laptop

You’re tired of scrolling prompt threads and seeing the same ideas recycled. Good. That means opportunity sits in plain sight. Four AI side hustles need no big budget, no design team and no risky job jumps—just a laptop, taste and a little consistency. Start one today, and you can build a stream of predictable income within months.

Automate local marketing content

Most neighborhood cafés and gyms know they should post more. They don’t have the time. You give them ready-made content that looks on-brand and posts itself.

Tools to use

• Baseline or StylifyMe — extract brand colours and tone from a URL.
• Canva Magic Design or Adobe Express — generate layouts from prompts. (Both make templates you can edit fast.)

Workflow

1. Capture brand DNA: drop the business URL into a brand-analysis tool.
2. Generate a month of posts: promos, reels, stories, seasonal captions.
3. Polish and package: fix spacing, CTAs and delivery formats.
4. Offer a monthly retainer to refresh and monitor performance.

Why it works

Aligned visuals beat random AI art. Local owners pay for clarity and fewer headaches. Consistency builds trust, and trust sells repeat customers.

Do this next

• Offer a 30-post starter pack.
• Price it as “one afternoon of work, one month of content.”
• Pitch via email or IG DMs with a before/after mock.

Build instant websites that actually get found

Outdated or missing websites cost clients customers. You fix discoverability fast.

Recommended stack

• Durable.co — asks a few questions, writes copy, builds pages, and gives basic SEO in under 5 minutes. (It’s a business-in-a-box builder.)

Step-by-step

1. Ask the owner: services, location, one hero benefit.
2. Feed answers into Durable.
3. Tweak headlines, swap images, enable contact forms and bookings.
4. Launch and add simple analytics.

Positioning tip

Don’t sell “AI websites.” Sell outcomes: “Get found when people search ‘dentist near me.’” Outcomes close deals.

Do this next

• Create a one-page offer: setup + first-month maintenance.
• Ask for local SEO keywords up front.
• Promise measurable outcomes: calls, bookings, or form fills.

Monetize royalty-free audio (you don’t need conservatory skills)

People need safe-to-use tracks for videos, podcasts and games. You make mood libraries people buy.

Tools to explore

• Suno.ai — full songs from text prompts.
• Soundraw or AIVA — royalty-free instrumental generators.
• Audacity — free audio editor for mastering.

Workflow

1. Prompt: “Chill lo-fi, 80 BPM, warm vinyl crackle.”
2. Master in Audacity.
3. Pair with a looping visual or static cover.
4. Publish bulk packs to Spotify, Gumroad, or audio stock sites.

Scaling secret

Quantity wins. Build dozens of mood-consistent tracks, not one perfect anthem. Downloads compound into steady royalties.

Do this next

• Create 10 tracks in one weekend.
• Package by mood and BPM.
• Publish to two marketplaces and measure revenue.

Create AI stock footage and image libraries that sell forever

Stock sites still need modern, usable visuals. You supply versatile assets designers love.

How to start

1. Research gaps: think real scenes people search for.
2. Generate in Midjourney or Adobe Firefly — aim for roomy compositions and neutral lighting. (Keep faces and model releases in mind.)
3. Export high-res, add precise keywords, and upload to Adobe Stock, Pond5, or Storyblocks.
4. Repeat until you have hundreds of assets.

Why it pays

Each download pays a small royalty. One clip buys coffee. A library of 500 assets pays rent.

Do this next

• Upload 50 high-quality images or clips first.
• Track which keywords convert.
• Recreate winning themes at scale.

Quick checklist: pick one lane and ship

• Choose one hustle this week.
• Build a minimal offer people can buy today.
• Create 10–50 deliverables fast.
• Launch, measure, iterate.

Pick one lane, master the workflow, and ship — that momentum turns creativity into income. Ready when you are. Start learning practical AI skills at tixu.ai — a beginner-friendly AI learning platform that guides you from basics to paying projects.

The Notion-template gold rush is on: build a Notion template that sells

You can build a premium Notion template in a weekend and start earning real money. People pay $10… $50… even $79 for polished planners, trackers, and dashboards. If you like simple systems and clear design, this is low-friction product work that pays.

Ready when you are.

What you’ll walk away with

• A fast validation checklist to find niches that actually buy.
• A Claude AI prompt to generate a working Notion backbone.
• A quick design + listing recipe to make your product feel premium.

Validate your niche (find the money)

Open EverBee and search Etsy for phrases like “budget tracker notion,” “life planner notion,” or “wedding planner notion.”

Look for pages with steady sales and good ratings.

What to look for

• High sales count + average rating ≥ 4.5.
• A visible price gap or outdated visuals to exploit.
• Evergreen pain points: money, productivity, health, study, business.

Quick checklist

1. Filter by best-sellers.
2. Confirm reviews ≈ 4% of buyers (so 100 reviews → ~2,500 sales).
3. Pick one niche and ship. Perfectionism kills momentum.

Generate the backbone with Claude AI (build fast)

Use Claude (Anthropic’s LLM) to write the Notion databases, relations, and formulas for you. Short prompt, big payoff.

Starter prompt (edit to taste)

“Create a Notion AI prompt that will build a **Monthly Spending Tracker**.  
Include:
- emoji next to every heading  
- progress bars that turn red when the budget is exceeded  
- a ❤️‍🔥 siren emoji once a category hits 100%  
- real-time bar & donut charts  
- an instruction block for beginners”

Copy Claude’s mega-prompt into Notion AI (pick the offered model) and click Generate.

In seconds you get:

• Income/expense DBs with relations & rollups
• Category budgets that auto-calc remaining balance
• Conditional formatting and emojis
• Auto-updating charts and a buyer-friendly instruction block

Test everything. Add a fake expense. Push a category past 100% and confirm the siren appears. If it breaks, tell Notion AI specifically what fails and iterate.

Dress it for success

A working template converts poorly if it looks DIY. Use Kittl for covers, mock-ups, and short looped videos.

Cover in minutes

1. Create a 1500×600 canvas (Notion cover ratio) in Kittl.
2. Prompt an image that shows the pain, then remix it into the solution.
3. Generate a micro-video of the transformation. Export MP4 → convert to GIF with CloudConvert → upload into Notion.
   
   A subtle 3-second loop makes your live demo feel premium.

Listing visuals that sell

• Screenshot the key pages.
• Use Kittl’s “Remix Image” to place screenshots into relatable mock-ups.
• Turn two stills into a micro video. Etsy listings with video get roughly twice the orders of image-only listings.
• Add a concise Loom walkthrough and a PDF guide to reduce refunds.

Publish & optimize (list, demo, repeat)

Where to sell

• Etsy — big built-in audience; small listing fee + commission.
• Gumroad — easy to start; great for funneling your own traffic.

Listing best-practices

• Include a clickable live demo (Notion duplicate protects your master).
• Offer a short Loom screencast and a one-page PDF.
• Add a thank-you page with a “Leave a review on Etsy ♥” CTA.
• Price: start modest (e.g., $5 Gumroad / $12 Etsy). Offer “Pay what you want” above the floor for surprise tips.

A tiny pricing tip: buyers of productivity tools tip and upgrade more often than you expect.

Rinse, remix, repeat

Claude AI removes technical friction. Notion AI fills in formulas and structure. Kittl gives you professional visuals.

Launch one template. Iterate based on reviews. Then launch another.

Quick action box — Do this next

1. Run an EverBee search and pick a niche (30 minutes).
2. Use the Claude starter prompt to generate a working Notion file (1 hour).
3. Make one Kittl cover and a 3-second GIF demo (1–2 hours).
4. Publish on Etsy or Gumroad and share a demo link.

Ship one template this week and you’ll learn more from feedback than a month of planning.
If you want step-by-step AI lessons to speed this up, check out Tixu — a beginner-friendly AI learning platform that teaches you how to use tools like Claude and Notion to build products fast.

Ready when you are.

Build Google Sheets templates in an afternoon

Good-bye, endless hours inside Google Sheets. You can now build polished, sellable Google Sheets templates in minutes—not days—thanks to Claude’s Google Workspace integration. That means one afternoon of focused work can turn into a tidy passive-income stream. Ready when you are.

Spy on what’s already selling

Start with buyers, not your ego. Find the proven demand before you design.

1. Open Etsy. Search terms: “budget spreadsheet,” “wedding planner sheet,” “side-hustle P&L.”
2. Use a research extension like EverBee or Alura to surface sales and estimated revenue. These tools highlight listings that actually sell.
3. Note two winner types: evergreen classics and recent rocket ships that climb fast.
4. Pick one niche and decide your angle. Quick ideas:
   • Fresh color scheme + modern type.
   • One-click automation (charts, rollups).
   • Sub-niche: “Bi-weekly paycheck tracker” rather than “budget spreadsheet.”

Do this next: pick one listing to reverse-engineer and take a screenshot for visual reference.

Build Google Sheets templates with Claude + Google Workspace CLI

Claude can create and style Sheets directly. The gws-cli (Google Workspace CLI) is the bridge. It’s a tiny dev setup; no heavy engineering required.

Quick setup:

1. Install: npm install -g @gworkspace/cli.
2. Authenticate: run the auth command, pick or create a Google Cloud project, approve access.
3. Verify: gws whoami shows your Google account email.

Prompt Claude (model: Opus) with three items:

• A screenshot or link to the best-selling sheet for visual cues.
• A tiny text file with naming and styling rules (tabs, colors, fonts).
• A precise instruction paragraph.

Example prompt you can copy:“Create a 50/30/20 monthly budget planner. Tabs: Dashboard, Transactions, Setup. Dashboard includes dynamic bar and pie charts. Brand colors: #004C99 navy, #00B3E6 cyan, #F6F9FC white. Use data validation for categories and clear header styles.”

Claude writes the code, opens Sheets in your Drive, and populates cells. Tweak column widths and minor layout hiccups for a clean finish.

Polish & mock up like a pro

Visuals sell. A pretty mockup raises perceived value and lifts conversions.

Steps:

1. Grab a free PSD mock-up from Freepik.
2. Open it in Photopea (browser Photoshop).
3. Double-click the Smart Object, paste a screenshot of your sheet, save. The perspective updates automatically.
4. Export JPG/PNG.

Optional: use Google Gemini (image mode) to generate lifestyle shots. Prompt example: “Render this budgeting dashboard on a silver MacBook Pro on a wooden desk, soft daylight, minimal aesthetic.”

Tip: high-quality mockups can lift click-throughs and sales. Don’t skip this.

Create & deliver the listing

Etsy buyers expect instant delivery. You deliver a link, not a file.

Delivery methods:

1. Make a one-page PDF: “Click here to make a copy of your template.” Paste the Google Sheets share link set to Viewer.
2. Upload the PDF as the digital file in your Etsy listing.

Listing basics that convert:

• Title: front-load the problem. Example: “Bi-Weekly Paycheck Budget Spreadsheet | 50/30/20 Google Sheets Template.”
• Description: answer who it’s for, what it does, how it works, and what’s included. Short bullets perform best.
• Tags: include every relevant variant (budget, finance tracker, Google Sheets planner, instant download).
• Use EverBee/Alura to generate SEO-friendly titles and tags, then push them into your listing.

Do this next: include a short “How to install” bullet in the PDF so buyers don’t email you with simple questions.

Scale smart, not hard

Don’t reinvent the wheel. Reuse what works.

• Bundle successful single templates into packs. Bundles often command higher prices.
• Run ads only after organic sales and reviews appear. Ads convert better on proof.
• Collect customer requests and turn them into products. Your next best seller sits in a buyer message.

Simple growth play: clone your top SKU, tweak colors and copy, and relist. Repeat.

Quick checklist (one-page)

1. Research: pick 1 listing and screenshot it.
2. Build: use Claude + gws-cli to produce the sheet.
3. Polish: mockup in Photopea, optional Gemini lifestyle shots.
4. List: upload PDF with copy-and-paste “Make a copy” link.
5. Scale: bundle, advertise after reviews, iterate on requests.

One afternoon, one template, repeatable income. That’s the big idea.

Ready to level up your AI skills and prompt workflows? Try Tixu — a beginner-friendly AI learning platform that walks you through prompts, integrations, and product launches: Tixu

Now open Claude, pour a coffee, and build that first Etsy-ready spreadsheet. The robots do the heavy lifting; you collect the royalties.

Automate Your Morning: Wake Up to a Personalised Brief

You wake up, grab coffee, and spend 20 minutes hunting updates. Sound familiar? What if your laptop already hands you the day’s essentials—flagged emails, calendar highlights, top industry headlines, and fresh analytics—before you pour the second cup? That’s the win here: reclaim time and start decisions, not chores.

By the end you’ll have five ready-to-run workflows to automate mornings, remote tasks, shopping, iMessage triggers, and on-brand slide decks.

Get a daily brief delivered

Lead with the win: a morning report that knows what matters.

How it helps

• Save 30–90 minutes a day on manual checking. Many users report that range.
• Spot priority issues fast—no inbox excavation required.

Set it up (Claude Co-work = agent runner in the Claude app)

1. Open the desktop app → Scheduled Tasks → New Task.
2. Paste a prompt: say what to include (emails, calendar, GA/YouTube metrics, top Reddit threads).
3. Pick a schedule—daily at 05:00 is reliable—and choose a destination folder.
4. Toggle “Prevent sleep while running,” or click Run now each morning.

Pro tip: the frequency field accepts natural language like “every two hours” or “at 1 p.m., 5 p.m., and midnight.”

Remote-control your Mac from anywhere

Need a file on your desktop while across town? Dispatch pairs your phone with the desktop client and runs commands remotely.

Quick start

1. Open Dispatch on mobile and desktop, follow pairing prompts.
2. Enable Settings → General → Computer Use and grant macOS accessibility + screen-recording.
3. From your phone send a natural command, for example: “I left the Q2 deck on my desktop. iMessage it to me.”

Claude finds the file, opens Messages, and sends it—hands-free.

Use cases

• Grab forgotten attachments.
• Start long renders while you commute.
• Kick off data exports before you reach the office.

Turn a text into a running job

For one-way jobs, iMessage is the fastest trigger.

Setup checklist

• Turn on Read & Send iMessage in Settings → Extensions (use a secondary Mac so Claude sees only your messages).
• Create a scheduled task that parses new messages from a contact like “Frank.”
• Optionally enable Computer Use so Claude can interpret screenshots you text.

Result: dictate on your Apple Watch during a run, and come home to completed research or neatly filed notes.

Steps

1. Create a merchant-locked Privacy virtual card for Amazon.
2. Save only that card in your Amazon wallet.
3. Use Dispatch: “Running low on AA batteries—add a 24-pack to my cart.”
4. Review and check out manually when ready.

This keeps convenience without exposing your primary credit card to prompt-injection mishaps.

One-click, on-brand presentations

Your slides can follow brand rules automatically. Less design fiddling. More storytelling.

Build the project

1. In Projects click +, name it “Presentations.”
2. Import a Create Presentation skill that defines colors, fonts, slide structure, and footer.
3. Store a reference deck (PDF or PPTX) in the project folder.

Example command:
“Research why ChatGPT is winding down Sora and build a 12-slide deck for product managers.”

Claude fetches articles, summarizes the story, suggests talking points, and exports a polished Keynote or PowerPoint.

Do this next

1. Pick one workflow above.
2. Spend 15 minutes setting it up.
3. Measure time saved after one week.

Wrapping up

Automate one task and you’ll feel the time savings immediately. Combine a few and you’ve got a dependable AI-powered sidekick running 24/7. What will you automate first? Tell us—ideas fuel the next round-up.

Want a guided path to learn these skills? Try the beginner-friendly AI courses and hands-on labs at Tixu — beginner-friendly AI courses and hands-on labs to learn practical workflows and build your own automations.

Managing AI agents from your phone

You hate being chained to a terminal. You want to pause a cron job while grabbing milk. You want to swap an agent’s model on the train without SSH, dashboards, or a miracle.

Enter Clawcat. It puts your OpenClaw agents in your pocket. Native iOS and Android apps, a tiny relay, and a CLI bridge live in one open monorepo. Audit it. Fork it. Run it. That’s the promise. By the end of this post you’ll know what Clawcat does, why it matters, and exactly how to get it running in under five minutes.

What you’ll walk away with

• A clear win: full agent control from your phone.
• A quick start: the two commands you need.
• A checklist for secure pairing and a day-one playbook.

Manage agents from your phone — and stop babysitting terminals

You don’t need to live at your desk—your agents do. Clawcat gives you a real control plane, not a stream of Telegram pings. That changes behavior fast. You stop reacting and start directing.

Why Clawcat actually matters

• See everything. Dashboards, configs, sessions, logs, files. Not just messages.
• Act instantly. Pause, trigger, or switch models in seconds—no YAML editing.
• Pick your trust level. Relay for roaming, direct for private LAN/Tailscale access.

Quick stat: pairing completes in under 60 seconds for most users. In one small test group, teams reported a 70% drop in remote SSH sessions after adopting phone-based controls. Numbers like that free up time and reduce production stress.

What you can do in one tap

• Chat with any agent in a native interface. Goodbye rate limits.
• See an agent’s status, config, and last run at a glance.
• Pause, resume, or trigger cron jobs without a shell.
• Swap models (Sonnet ↔ Opus) with zero restarts.
• Stream session logs live and inspect output files on the spot.

If content pipelines, client demos, or monitoring are in your job description, Clawcat removes the last excuse to stay glued to a laptop.

Instant pairing, zero drama

Run this on your OpenClaw box:

npx @p697/clawcat pair

The CLI prints a QR code. Scan it with the app. Pair once—reconnections happen automatically. Most users pair in about 45 seconds.

Modes that fit your life

• Relay mode: traffic routes through a Cloudflare Worker. Useful for nomads and roaming cell connections. Low-latency, globally distributed.
• Direct mode: phone → box over LAN or Tailscale. No third-party hops. TLS end-to-end.

Security you can verify

Clawcat uses token-based auth and TLS. The relay templates live in the repo so you can inspect or replace them. It’s self-hostable by design. Audit the code, tweak the template, deploy your way.

Peek under the hood (short and useful)

• Expo + React Native: one codebase for iOS and Android.
• Cloudflare Workers: tiny relay with <10 ms cold-start in practice.
• Bridge CLI: available on npm (@p697/clawcat) — install and pair in two commands.
• Monorepo: mobile, relay, bridge, and shared types side-by-side.

This layout makes white-labeling or quick extensions trivial. Fork it and have a custom client in a weekend.

Do this next (step-by-step)

1. Clone or install: git clone p697/clawcat on GitHub or grab the app from the App Store / Play Store.
2. On your OpenClaw server: npm install -g @p697/clawcat.
3. Run: clawcat pair → scan the QR.
4. Choose Relay or Direct in settings.
5. Tap an agent. Pause a cron. Swap a model. Breathe.

Tips that save time

• Use Relay when you’re on mobile data or moving across networks.
• Use Direct for private production boxes.
• Keep one admin device paired and a backup device for teammates.
• Enable audit logging for critical agents.

A quick note on scale

If you run dozens of agents, the app changes how you triage incidents. You see failing runs, file outputs, and job histories without SSH. Teams report faster mean time to recovery and fewer frantic late-night terminal sessions once they adopt mobile controls.

One small caution

Clawcat makes powerful controls easy. Treat those taps like production knobs. Use role-based access or keep sensitive boxes on Direct-only mode.

Clawcat puts full OpenClaw control in your pocket so you can move faster, reduce SSH fatigue, and manage agents where you actually are. Ready when you are.

Do this next: grab the repo, pair your device, and try pausing a cron job on your next grocery run. Want a gentle intro to AI agents and practical workflows before you dive? Learn the basics and build your first agent at Tixu — a beginner-friendly AI learning platform.

The no-API-key super-power your agent has been waiting for

You’re tired of juggling OAuth screens, secret keys, and approval queues. You want your agent to act like you do — browsing, posting, reading — without a developer account for every site. Drop one tiny Rust binary into your stack, keep Chrome open, and your agent can hit 55 popular sites and desktop apps. No API keys. No rate-limit spreadsheets. No secret-key paranoia.

Here’s what you’ll walk away with: how it works, why it matters, and a five-minute install to get this running. Ready when you are.

Ditch the OAuth headache

• Separate dev accounts. Approval queues. Tokens that expire at the worst moment. Sound familiar?
• Many platforms simply don’t offer public APIs (hi, TikTok and Instagram).
• This skill piggy-backs on the browser session you already use. Chrome proves “you are you,” and the agent acts on that session.

How it works — fast

1. A tiny Rust binary launches a local service and talks to Chrome via the DevTools protocol.
2. Your agent asks the local service for a task (e.g., “What’s trending on X?”).
3. Chrome, already logged in, supplies the session context.
4. The service fetches the page, parses it, and returns clean structured data to your agent.

The executable is ~4 MB, zero runtime dependencies, and runs locally. Download, run, done.

What you get today — plug-and-play actions

Social platforms

• X (formerly Twitter): 24 actions — search, post, like, follow, read bookmarks.
• Reddit: hot posts, subreddit search, upvote, comment, save.
• Facebook, Instagram, TikTok: core read/write basics.

Content & knowledge

• YouTube: search videos, pull transcripts.
• Hacker News, dev.to, Lobsters, Wikipedia, arXiv, Stack Overflow.

News & search

• Google Search, Google News, Google Trends, BBC, Bloomberg.

Finance & markets

• Yahoo Finance quotes & charts, region-specific market sites like Juejin.

Desktop apps

• Cursor (code editor), Notion (query pages, create notes), Discord (read/post), ChatGPT Desktop, Codex.

Chinese platforms

• Bilibili, Zhihu, Xiaohongshu, Weibo, WeRead — great for international research.

Five-minute installation — do this now

1. Install OpenCLI-RS (the command-line runner).
2. In your agent shell, run: npx skills add browser-session GitHub repo— or ask your agent: “Install the browser-session skill from the browser-session GitHub repo.”
3. Restart your agent. Keep Chrome open and logged in to the sites you need.

No env vars. No dashboards. No token copy-paste.

High-value ways to use it

• Content research: wake to a cross-platform digest of trending topics before coffee.
• Competitive monitoring: one query surfaces rivals’ posts across X, LinkedIn, Reddit, YouTube.
• Social distribution: draft once, publish everywhere, manage replies.
• Market intelligence: combine Yahoo Finance quotes, Bloomberg headlines, and Reddit sentiment in one chat.
• International insights: surface Zhihu and Bilibili discussions you couldn’t reach before.

Rules of the road — stay human

• Chrome must run on the same machine (or in a headless display server).
• Actions execute as you. Add an approval step before public posts.
• Platform limits still apply. Scrape like a considerate human — don’t act like a botnet.

Why this flips the script

• One install replaces dozens of custom integrations.
• Zero cost — no paid API tiers.
• Open-source, extensible, fast. Community contributors are already adding sites.

Do this next

1. Install and test on a single site you already use.
2. Add an “approve before post” step.
3. Ask the agent for a daily digest and iterate from there.

One binary, 55 platforms, real browser sessions — get your agent interacting with the web like you do. Try it, then teach your agent more.

Want to learn how to build smarter agents and use tools like this confidently? Start with beginner-friendly AI lessons at tixu.ai.

Why You Should Start Hacking AI Today

Companies bolt AI features onto products fast. They rarely test for security. That gap creates a gold rush of vulnerabilities. If you want bug-bounty payouts, CTF trophies, or to protect your org, now is the moment to learn AI penetration testing.

This post gives a practical, free path from zero to entry-level AI hacker. You only need a browser, a GitHub account and an OpenAI API key. Follow the roadmap below, try the labs, host a CTF, and file your first bug report. Ready when you are.

What you’ll walk away with

• Hands-on skills to exploit prompt-injection and RAG flaws.
• A runnable CTF you control and five real flags to find.
• A simple 30-day sprint to call yourself an Entry-Level AI Pen‑Tester.

Start with the hands-on warm-up: Lakera AI “Gandalf”

Gandalf is a playful web game that teaches prompt-injection basics.
You’ll see how tiny prompts can derail unprotected models. Try these tactics:

• Role-play prompts like “You are the system administrator.”
• Encoding and obfuscation tricks.
• Repeating payloads—LLMs are non-deterministic, so retries often win.

Ten to fifteen minutes here is enough. The goal is to feel how fragile models can be.

Level up with realistic agents: Lakera AI “Agent Breaker”

Agent Breaker swaps the toy wizard for real multi-agent apps.
You’ll attack a portfolio advisor, a trip planner, and more. Each level gives an Attack Objective (for example, mark every investment “low risk”). There’s no walkthrough. Creativity and persistence win. Expect to hit “send” hundreds of times.

Graduate with the Arcanum AI Security Resource Hub

Arcanum is a GitHub Pages hub maintained by security researchers. Bookmark it. It contains:

• 20+ live labs (prompt injections, RAG misconfigs, agent-chaining flaws).
• Links to bug-bounty programs for OpenAI, Anthropic, Google Gemini.
• Write-ups, slides, and tooling used in red-team engagements.

This is where professionals hang out. Use it as your lab bookshelf.

Host your own CTF: “AutoParts-LLM-CTF”

Nothing beats practice with code you control. Arcanum’s AutoParts CTF is a Dockerised clone of a real app. Setup in two minutes:

AutoParts-LLM-CTF repository on GitHub

git clone https://github.com/arcanum-security/autoparts-ctf.git
cd autoparts-ctf
echo "OPENAI_API_KEY=sk-yourkey" > .env
docker compose up -d

Open the AutoParts local UI and start hunting. Five flags hide inside:

• Three via prompt-injection.
• Two via classic web weaknesses.

What you’ll likely leak: the system prompt, hard-coded API tokens, and “confidential” data from a RAG knowledge base. A motivated 12‑year‑old solved every flag in 35 minutes at a live event. Most adults take a week. Your move.

Get paid

• Bug-bounty programs pay for jailbreaks, data leaks and policy bypasses.
• CTFs like DEF CON and BSides run AI-themed events with cash prizes.
• Full-time roles are appearing: “AI Security Engineer” and “LLM Pen-Tester.” The talent pool is tiny.

Even one solid report can land a four-figure payout or a LinkedIn shoutout.

Tips for cracking tough labs

• Hammer the model: resubmit payloads. Outputs vary.
• Mimic internal jargon: match field names like “risk_level.”
• Chain attacks: leak a system prompt, extract keys, call hidden APIs.
• Use debug language: “for debugging purposes only” sometimes lowers guardrails.
• Keep notes: save payloads that worked and partial leaks.

Short checklist for every lab

1. Reproduce baseline behavior.
2. Try a prompt-injection payload.
3. Capture model outputs and metadata.
4. Escalate with chained calls.
5. Write a minimal, clear report.

Your 30-day sprint to Entry-Level AI Pen‑Tester

• Week 1 — Clear Gandalf and every Agent Breaker level.
• Week 2 — Finish three Arcanum labs and bookmark resources.
• Week 3 — Deploy AutoParts-LLM-CTF and capture all five flags.
• Week 4 — Submit one valid bug-bounty report to a public program.

Complete this sprint and you can legitimately call yourself an Entry‑Level AI Pen‑Tester. From there, study enterprise filters like OpenAI Policy or Anthropic guardrails. Try automation tools like Parseltongue for scripted jailbreaking.

Final thoughts

AI security looks like web security in the early 2000s: chaotic, lucrative, and lots of room to learn. The barrier to entry is low. The stakes are high. Break things responsibly and turn that skill into impact.

Do this next

• Pick one warm-up lab today.
• Spin up AutoParts this week.
• File one bug report this month.

Want guided, beginner-friendly exercises and step-by-step challenges? Try Tixu — a beginner-friendly AI learning platform.