ChatGPT Images 2.6: Client GIFs, Graphics and the Permission Trap

ChatGPT Images 2.6 gives VAs two new tools for client work: GIFs and saved reference images. The trap is that both make it very easy to put a client's photos and logo into an AI tool before anyone has said yes.

Here's what changed and what I'd sort out with a client first.

What's New in ChatGPT Images 2.6

ChatGPT Images is the picture maker inside ChatGPT. OpenAI's November 4 release notes say the new version is faster and better at keeping details the same across edits. Their example is a character's outfit staying put when you change the background.

That's the upgrade I care about for client graphics. If you've ever asked AI to change one small thing and got a whole new picture back, you know why. OpenAI's help page still warns that a selected edit can spill past the area you highlighted, so check the whole image each time.

OpenAI's system card for ChatGPT Images 2.6, published November 4, 2026

GIFs and Saved Reference Images

A GIF is a short image that moves on a loop. You ask ChatGPT for a looping GIF and describe what should move, or you upload a still image and ask it to animate that. Then you can change the speed, save it or share it.

GIF creation is still rolling out, so you may not see it yet. And ChatGPT can't edit an animated GIF you upload, only the ones it made.

My ideas for VA work: a moving header for a client newsletter, a waving mascot for Instagram Stories, or a small looping sale badge.

Saved reference images save you from uploading the same photo in every chat. You upload it, ask ChatGPT to save it as a reference and give it a name. Later you type @ and that name in your prompt. OpenAI's example is a dog called Pepper. For us, that could be a product photo saved as @BlueMug.

[MAYE (optional): make one client-style graphic and one GIF from a made-up brand, then add them here with a line on what you had to fix.]

Who Gets It and What It Costs

OpenAI's help page says ChatGPT Images is on all tiers, on web, iOS and Android. So yes, the Free plan can make images.

OpenAI's pricing page, in US dollars, lists Free ($0) with limited image creation, Go ($8 a month) with more, Plus ($20) with more complex and accurate images, and Pro (from $100) with unlimited, faster creation, subject to abuse guardrails. It doesn't give an image count for Free, Go or Plus, and neither does the help page.

Plus, Pro and Business also get an extra mode called Images with thinking, with Enterprise and Edu coming soon. The pages I checked don't say whether GIFs or saved references differ by plan.

The Permission Trap

OpenAI's terms say that between you and OpenAI, you own what you make. But you promise you have the rights to what you upload, and you can't use the service to violate anyone's rights. The same terms warn that output may not be unique, so someone else could get something similar.

I'm not a lawyer, so here's how I'd handle it in practice.

Logos: don't ask AI to redraw a client's logo, because a redrawn logo is a wrong logo. Make the graphic without it, then add the real logo file in Canva. Leave other companies' logos and famous characters out completely.

Photos: ask before you upload, and ask in writing. If a staff member or customer is in the photo, the client needs their okay too. OpenAI's usage policies ban using someone's likeness without consent in ways that could confuse people about what's real.

Saved references need one extra question, because the photo stays ready in your account. The help page doesn't explain how to delete one, or how long it's kept. Find that out before you save anything for a client.

On individual plans, OpenAI may use your content to train its models unless you turn off "Improve the model for everyone" under Settings, then Data controls. That only covers new chats, and a thumbs up or down can still send that whole chat to training. Business plans aren't used for training by default.

Last, honesty. OpenAI's terms say you can't present AI output as human-made. Its system card, the safety report for this release, says OpenAI uses C2PA metadata (a hidden label showing where a file came from) and is adding SynthID, an invisible watermark. So don't let a client think a designer made it.

What This Means for VAs

If you manage a client's social media or newsletter, this gives you quick visuals for the small jobs that never reach a designer: a story graphic, a sale badge, a moving header. Brand work and anything legal or medical should still go past a human who owns that decision.

Before you offer it, add three lines to your client notes. Which photos and logos can go into AI tools? Who approves each graphic before it goes out? Does the client want AI-made visuals named as such?

I wrote more about that talk in setting AI expectations with clients.

Then practise on a made-up brand, so no client files are involved while you learn. My 30 free VA prompts will help you write clear requests.

What's the first GIF you'd make for a client? 

Gemini Omni Flash: Free Videos, but Not in Gemini

Gemini Omni Flash can make short social videos, and you can try it for free, just not in the Gemini app. The free route I'd use is Google Vids, with up to three 15-second videos a month, while the Gemini app needs a paid Google AI plan on a personal account. The Google pages I read don't say free clips are cleared for commercial use, so treat them as practice for now.

What Gemini Omni Flash Does

Gemini Omni is Google's AI video model. You describe a scene, or mix text, images and video, and it makes a clip. Then you change that clip by chatting: remove an object, swap the camera angle, adjust the scene.

The newest version, Gemini Omni 1.2 Flash, arrived on November 5. Google's changelog entry for that date is for developers, the people building apps on its tools, so its prices aren't what you'd pay.

Is Gemini Omni Free?

In the Gemini app, no. Google's help page says a personal account needs a Google AI plan for video, and you must be 18 or over. Google's limits table shows no video generation without a plan.

[INSERT IMAGE: google-gemini-video-help.jpg] Google's help page for making videos in Gemini Apps, showing that a Google AI plan is required

In US dollars on Google's plan page, AI Plus is $4.99 a month, AI Pro is $19.99, and AI Ultra is $99.99 or $199.99. Check the price for your own country before you quote it to a client.

In Google Vids, yes. Vids is Google's online video editor, at vids.new. On November 5, Google said anyone with a Google account or Workspace subscription can make up to three 15-second videos a month there at no cost. Google also launched Omni at no cost in YouTube Shorts and the YouTube Create app in May.

Google's November 5 post saying anyone with a Google account can make up to three 15-second videos a month in Vids

One small mismatch: Google's Vids help table lists 60 seconds a month for personal accounts, and says those accounts might have some limits on AI video editing. Plan on three clips at most.

How Long Are the Videos?

Google's help page says Gemini app videos run from 3 to 10 seconds, or up to 15 seconds with AI Ultra. Google's launch post says 15-second videos in the app are still rolling out to Ultra subscribers.

Paid plans don't come with a video count either. Usage refreshes every 5 hours until you hit a weekly limit, and Google says video generally uses the most.

In Vids, the help page lists 3 to 15 seconds, 720p or 1080p, and landscape or portrait, with animated still photos at 3 to 10 seconds. That page still says you need a Workspace subscription, which doesn't match the November 5 post, so a free account may get less.

Using Gemini Omni Flash for Client Videos

Google pitches Vids for product promos and social clips, so it's a fair place to practise. I'd try a short product teaser, a still photo brought to life, or a quick background clip for an event reminder. But the Google pages I read don't say whether free clips can be used commercially, so check Google's terms and ask your client before one goes on their page.

Google's help page suggests including the subject, location, action, camera, lighting, sounds and tone. Here's a sample prompt you can adapt:

"A vertical clip of a ceramic mug of coffee on a wooden cafe counter, steam rising, slow camera push-in, soft morning light, quiet cafe sounds."

Google says it's still improving things like fast sports action, rapid script changes and complex physics.

[MAYE (optional): make one free clip in Vids from a made-up product and add it here, with what you changed.]

Labels and Client Approval

Google says all Omni videos carry SynthID, an invisible watermark that marks them as made with Google AI. Content made in the Gemini app also carries C2PA Content Credentials, a kind of digital record of where a file came from.

Gemini app videos can also carry a visible watermark, an overlay controlled by a Media Watermark setting. In some countries, only AI Ultra gets that switch. The setting doesn't cover Vids, and the Vids pages I read don't mention a visible label. So decide with your client whether to add an "AI-generated" line, and check the rules of the platform you're posting on.

Google also says you must have the rights to any images you upload, and you can't use these videos to deceive people, including passing AI content off as human-made. Breaking those rules could cost you the account.

An AI clip can show a product a little differently from the real one. A client who sells food or skincare can't afford that. So nothing gets posted until the client has watched it and said yes.

What This Means for VAs

For a small business, three free clips a month is enough to test this properly. Make one sample from a made-up product, show the client, and let them decide if AI video fits the brand.

If they want it every week, that's when to look at a paid plan and its terms. I'd have the client hold that plan, so the account and the bill stay with the business.

Write down that approval step before you start, and agree on whether AI clips get labelled. My post on setting AI expectations with clients can help with that talk.

If you want a low-risk start, open vids.new this week and spend one free clip on a made-up product.

Kimi K3.1 Pro: "Open" Doesn't Mean Safe for Client Data

Kimi K3.1 Pro is an open AI model, so anyone can download it for free, but the download is 1.56 terabytes and it needs data center machines to run. For a virtual assistant, that means "open" won't put it on your laptop, and it won't protect your client's files.

Kimi is the chatbot from Moonshot AI, a Chinese AI company. You'll see "open" used as if it means free, private and safe all at once. It means something much narrower.

What Open Means for Kimi K3.1 Pro

Every AI model is built on weights. These are the billions of numbers a model learns during training, and they're basically its trained brain. ChatGPT's stay on OpenAI's servers. Open weights means the company lets you download them.

Moonshot posted these on Hugging Face, a site where AI companies share models. The first upload there is dated November 2, and Moonshot had promised the weights by November 4.

Moonshot calls this an open-weight model. That's different from fully open source, where you'd expect to see everything behind the project. The page lists model files and the code to run them, with no training data.

It also has its own license, the rulebook for using it. You can use, change and even sell it for free if you keep the license notice, and two more conditions are aimed at giants.

AI hosting companies making over $20 million in 12 months need a separate deal. Products with over 100 million monthly users or $20 million in monthly revenue must display the model's name. That's not you or me.

Why You Can't Run It at Home

Look at the size on that page: 1.56 TB. Moonshot lists 2.8 trillion parameters, which is just the count of those learned numbers.

[INSERT IMAGE: hf-kimi-k3-1-pro-files.jpg] The Kimi K3.1 Pro files on Hugging Face, showing the 1.56 TB size and the license file

Storage is the easy part. The setup guide from vLLM, one of the tools Moonshot recommends for running it, describes its simplest working setup on NVIDIA hardware as eight GPUs, the powerful chips AI runs on. And these are data center chips, not the kind in a gaming PC.

So when people talk about running it yourself, they mean a company with serious hardware. That's still useful, because other businesses can host the model too. Hugging Face lists Together AI as one. But that's a developer service, not something you'd open to draft a client email.

How to Try Kimi K3.1 Pro

The realistic way is Moonshot's own Kimi, on the website or the iOS and Android apps.

Is it free? It looks that way, but Moonshot doesn't say so outright. The pricing page lists a Free plan at $0, without naming K3.1 Pro in it.

On November 7, K3.1 Pro was in the model menu on kimi.ai even before logging in, though K3 was selected by default.

Moonshot doesn't state how many K3.1 Pro messages a free plan gets, and the pricing page warns that K3.1 Pro requests may queue or fail at launch.

The model menu on kimi.ai, with K3.1 Pro at the top

Paid plans start with Plus at $19 a month, or $180 billed yearly. The full 1-million-token context window, meaning how much text it can hold in one chat, is listed only for Max and Ultra.

The Client Data Question

Here's where "open" trips people up. Open weights only keep data in-house if you run the model on your own machines. If you use Kimi's app, your prompts and files go to Moonshot, like any other chatbot.

For users outside mainland China, Kimi's terms come from NOVASCENT PRIVATE LIMITED, a Singapore company using the Moonshot AI name, and they were updated November 5.

The privacy policy says it can use your prompts and files to improve its services, including training its AI models. The terms let you opt out by emailing membership@moonshot.ai, but with a catch: "Opt-out applies prospectively only." Moonshot doesn't have to remove anything already used in training.

The policy says your information may be stored outside your country, without naming where. A help page on kimi.com says mainland China, but that site's policy is written for mainland users, so I wouldn't assume either way.

The terms also say not to submit personal data or confidential third-party information you don't have the right to use. Client inboxes are full of exactly that, so you'd need real permission first.

Kimi Business is different. Its supplement says customer content isn't used for training by default, unless the customer authorizes it or the law requires it. That's a business contract, not the free app.

What This Means for VAs

I'm not singling out Kimi. These are the questions I'd ask about any AI tool before client work goes near it. Who holds what I type? Is it used for training, and can I turn that off? Does my client know I'm using it?

If you're curious about K3.1 Pro, try it with made-up details or your own non-client tasks. My 30 free VA prompts are a good place to start.

Then put the client side in writing. If a client asks why you can't just use the newest free model, my post on setting AI expectations with clients will help with that talk.

And the next time someone says a tool is "open," you'll know what to ask: open how, and where does my client's data go?

Do your clients have a rule about which AI tools you can use? 

DeepSeek Super Agent: Why It Thinks Like a Virtual Assistant

DeepSeek Super Agent is an open-source research prototype for software teams, so it's not something you'll use with clients this week. But its rulebook reads like a job description for a great virtual assistant, and that's why I think VAs should know about it.

Quick note: several products use the name "Superagent." This post is about DeepSeek's, the one that made AI news on October 31.

What Is DeepSeek Super Agent?

DeepSeek is the Chinese AI company behind the DeepSeek chatbot. On October 31, its team published a design article called "Exploring Super-agent Design" and put a working prototype, dsh-superagent, on GitHub. As of November 7, the project has more than 20,000 stars there, which is GitHub's version of bookmarks.

The problem it tackles is one we know well. With today's AI tools, you open a chat, give a task and keep checking on it. DeepSeek says a person can usually follow only three to five of these at once.

So the idea is one always-on agent (an AI that takes actions, not just answers questions). A part called the Router takes in every request. It passes each job to a Worker, which does that job in its own separate space. A third part, the Watchdog, checks that the Workers are really making progress.

Think of a lead VA who reads every message, hands tasks to the team and checks in on them. That's the shape of it.

Can You Use It With Clients?

Not really, and DeepSeek says so itself. The GitHub page calls it a research prototype, not an official DeepSeek product, and warns it isn't production-ready. Some ideas in the article aren't even built into this version.

The dsh-superagent page on GitHub, with DeepSeek's research prototype warning

It's also made for developers. It watches one GitHub project (the place where a team stores its code), plus Feishu, a work chat app, if a team adds it. It can answer with code changes. It runs on DeepSeek Harness, the company's open-source agent app, which is in public preview.

If you see posts calling this the tool that will run your whole business, take a breath. It isn't that yet.

The Part That Sounds Like Our Job

Here's what got my attention. The project's first document sets one rule for everything: "Take as little human attention as possible, and give as much value as possible."

Then it spells out what that means. The agent acts only when asked, or when a written rule allows it. It confirms a request once, stays quiet while it works, and comes back when there's a result or a decision to make. It asks one clear question at a time. If it fails, it says so.

If you've been a VA for more than a month, you know that list. Good VAs don't send five updates a day, and they don't bury the one question that matters in a long message. They protect the client's attention.

The design article even gives a personal assistant example. A meeting invite comes in, so the agent checks for schedule conflicts, gathers background and prepares a draft reply for the person to approve. That's a normal Tuesday for a lot of us.

The Number to Be Careful With

You may see the claim that Super Agent finished work in under 16 minutes, compared with over 29 for the usual way. Look closer before you repeat it.

In that test, the real coding was swapped for a tool that just used up time. DeepSeek was measuring how well the system juggled requests, not how good the work was. DeepSeek calls these results preliminary, and the 29 is from its slowest comparison setup. So it doesn't show that AI does a job twice as fast. One detail did stay with me: each test had about 300 messages, and only about 20 were real work requests. Spotting those 20 is a skill we practise daily.

DeepSeek also flags the risk. An agent that reads messages from everywhere can pick up untrusted instructions, and login details could leak if they reach the AI. If that isn't solved, the company says, this kind of system can only work in a small, trusted setting. For client work, that's the part I'd remember. It's also why I liked the idea behind 1Password for agents.

What This Means for VAs

This is a prototype, but the direction is clear. AI companies are designing assistants that watch messages, calendars and inboxes without being asked. I wrote about the same shift with Claude Duet.

Look at what makes DeepSeek's design work: written rules. Who may ask for things, what can happen without approval, when to interrupt and when to stay quiet. Someone has to write those rules for each business, and check what the agent does. That's work a good VA already understands.

DeepSeek's own advice is to start narrow, with proactive work only recorded at first, not acted on. That's smart for any new AI tool you try for a client.

So here's your small step this week. Write down your client's "when to interrupt me" rules: what's urgent, what can wait for the daily update, and what you can decide alone. If you're starting with someone new, my client onboarding questionnaire will help you get those answers.

Do your clients have rules like these yet? 

Zapier for Beginners 2026: Free Courses + 5 VA Zaps

A virtual assistant at a laptop with app icons linked by dotted arrows

Zapier for beginners in 2026 comes down to two free things: Zapier's own Academy courses, which come with certificates, and the free plan, which is enough for your first automations. Here's what each course covers, the honest answer to "is there a Zapier certification?", and five simple Zaps a VA can build this week.

First, the words. Zapier connects apps so work moves between them without you copying and pasting. A Zap is one of those automated workflows: a trigger (the thing that starts it, like a new email) and an action (what Zapier does next, like saving the attachment).

Why VAs Should Learn It

Clients ask for it. VA Masters looked at 322 VA job descriptions from February to August 2026. Zapier appeared in 5.6% of roles, and Zapier and n8n together showed up in more roles than ChatGPT did on its own (7.5%).

That's an agency's own data, but their conclusion is a good one for us. Clients aren't only hiring someone who can write a prompt. They want someone who can wire a process together.

Zapier for Beginners 2026: The Free Academy Courses

Zapier Academy has four main stages, plus two courses for managers.

Zapier Academy page showing four courses: 01 Chat, 02 Delegate, 03 Automate and 04 Engineer

01 Chat (55 min) is about getting finished work out of ChatGPT, Claude, Copilot or Gemini. It isn't about Zapier yet, so skip it if you already use AI every day.

02 Delegate (about 25 min) connects your AI chat to your apps through Zapier MCP. MCP is a way to let an AI like Claude or ChatGPT read and act inside your other apps, with you deciding how much it may do.

03 Automate (about 35 min) is the one for this post. You describe a repeating job in your AI chat, the AI builds the Zap, and you read it, test it and publish it yourself. Nothing goes live until you say so. Zapier suggests taking 02 Delegate first if you haven't connected an AI to your apps yet.

04 Engineer (about 65 min) is for people who have already built Zaps and want them to hold up for a whole team.

The other two, Admin Essentials (about 60 min) and AI Transformation Leaders (about 2 h 30), are for Enterprise account admins and the people running AI adoption at a company. Most VAs can skip them.

Zapier's FAQ says every course is free and a free Zapier account is enough. Finish a course and you get a certificate of completion with a link to add it to LinkedIn.

Is There a Zapier Certification?

Not one you can sign up for on your own as a learner, as far as Zapier's own pages show. The Academy gives a certificate of completion for each course. That's a nice proof of learning, but it isn't an exam-based certification.

The closest thing is the Zapier Solution Partner Program, which used to be called Zapier Experts. It's for consultants, agencies and solution providers, and partners go through a certification program and earn badges as they go. To apply, Zapier asks for an active business website (a LinkedIn or Fiverr profile alone doesn't count) and an email on your own domain, not Gmail or Outlook. Zapier says applications are typically reviewed within 7 to 21 business days.

So on your profile, be exact: "Zapier Academy, 03 Automate (certificate of completion)". Don't write "Zapier certified" unless you've earned a certification through the partner program.

The Free Plan in One Paragraph

Zapier's pricing page lists the Free plan at $0 with 100 tasks a month, unlimited Zaps and two-step Zaps (one trigger, one action). A task is used each time a Zap successfully completes an action (some actions use more than one), and triggers don't count. Premium apps need a paid plan, so if an app shows a Premium label, pick another. For simple two-step Zaps, a hundred tasks is roughly three runs a day across all of them.

5 First Zaps for VAs

All five are two-step, so they fit the free plan. Build them in your own test account with fake data first, then in a client's account only with their permission.

1. Invoices to Drive. When a Gmail email with an attachment gets your "Invoices" label, save the attachment to a Google Drive folder.
2. New form, instant ping. When someone submits your Google Forms intake form, send yourself a Slack direct message.
3. Meeting log for billing. When a new event is added to Google Calendar, add a row to a Google Sheet with the title, date and time.
4. Draft, don't send. When a new row is added to your lead or task sheet, create a Gmail draft. You review it and press send yourself.
5. Starred email to task. When you star an email in Gmail, create a Trello card so it lands on your to-do board.

If you're not sure which trigger to pick, describe the job in plain words to an AI, the way the 03 Automate course teaches, and check what it builds before you turn it on.

What This Means for VAs

Zapier sits between "I can use ChatGPT" and "I can build systems". That middle step is where a lot of admin work lives: the copying, filing and reminding that eats your afternoon.

Take 02 Delegate and 03 Automate, build Zaps #1 and #4, and write down the steps for each one so a client could follow them. That written process is half of what makes an automation trustworthy, and my VA SOP template gives you a place to put it. For other free courses worth adding, see free AI courses for virtual assistants.

Build your first Zap this week, then tell me how it goes in the comments.

Anthropic Academy Free Courses: 4 Worth a VA's Time

Anthropic Academy is free, and it just moved. Anthropic's courses now live on a site called Claude Academy, which promises "free courses, tutorials, and use cases from Anthropic's education team," and as of October 31 it lists 28 courses.

That's a lot to sort through, and many of them are for developers. Here are the four I'd point a VA to first, plus the catch about certificates that's easy to miss.

Is Anthropic Academy Free? Yes, Under a New Name

If you search "Anthropic Academy," you'll probably still land on the old course site. Open Claude 101 there and a banner says the course "now lives on Claude Academy." The old site stays up for people who learn through their employer. Everyone else goes to academy.claude.com, and anthropic.com/learn now opens Claude Academy too.

You don't pay to enroll. You sign in to save your progress, and most courses expect a Claude account so you can practise as you go. For Claude 101, a free Claude account is enough, though a few lessons cover features that need a paid plan.

The Claude Academy courses page, showing Claude 101, Claude Code 101, Introduction to Claude Cowork, Introduction to Claude Tag and Claude Platform 101 with lesson counts and completion badges

The 4 Courses I'd Start With

1. Claude 101 (13 lessons, 1 quiz, about 2.5 hours). This is the starting point. It goes from your first conversation and better prompting to Projects (folders that give Claude standing context about a client), artifacts, skills and connectors, then finishes with use cases by role.
2. AI Fluency: Framework and foundations (14 lessons, 1 quiz, 4 hours). This one isn't about buttons. It teaches the "4D framework": Delegation, Description, Discernment and Diligence. In plain words: what to hand to AI, how to brief it, how to check what comes back, and how to own the result.
3. AI Fluency for small businesses (8 lessons, 1 quiz, 3.5 hours). Most VA clients are small businesses, so this is the client's view. It covers privacy when you share business data with AI, which tasks should stay human-led, and drafting an AI use policy for a business. The course says any chatbot works for the practice, not only Claude.
4. Introduction to Claude Cowork (14 lessons, 1 quiz, 2.5 hours). Cowork is Claude working directly with your files, folders and apps on multi-step tasks. You need a paid Claude plan (Pro, Max, Team or Enterprise) for this one. On September 16, Anthropic announced that Cowork and chat are merging into one Claude, and the Academy says what you learn here still works.

If your client's team works in Slack, add Introduction to Claude Tag (11 lessons, 2.5 hours). It teaches you to tag Claude in Slack channels and hand it work, but it only helps if Claude Tag is already installed in their workspace.

Do You Get a Certificate?

Here's the catch. The old site promised a "certificate of completion." On Claude Academy, finishing a course and passing its quiz earns you a completion badge. A few short courses, like Introduction to agent skills, don't list a badge at all.

[MAYE (optional): finish Claude 101 and add a screenshot of your completion badge here. Note whether there's a "share to LinkedIn" option.]

Then there are the real exams. Anthropic runs paid Claude certifications: Claude Certified Associate ($99), two Foundations exams ($125 each) and Architect – Professional ($175). But its certification FAQ says certification "is currently available only to organizations in the Claude Partner Network," and you need a partner company email to register. A personal email won't work.

So as a freelance VA, you can't sit those exams yet. If a post tells you to "get Claude certified for free," it's mixing up the free badges and the paid, partner-only exams.

The Ones You Can Skip for Now

The developer side of the catalog covers Claude Code, the Claude API, Claude on Amazon Bedrock and Google Cloud, and two courses on MCP (Model Context Protocol, the plumbing that connects AI to other apps). They're free too, but they assume you're comfortable with code.

If you want the "how does AI actually work" background without code, take AI capabilities and limitations (13 lessons, 3.5 hours). It explains what large language models (the AI brains behind Claude and ChatGPT) can and can't do, including how much they can hold in mind in one conversation.

What This Means for VAs

A badge won't get you hired on its own. What it gives you is a structured way to learn Claude properly instead of picking up tips from random videos, plus something concrete to mention when a client asks, "Do you know Claude?"

The 4D framework is the part I'd take straight to clients. It gives you words for the work they're really paying for: deciding what to delegate to AI, briefing it well, and checking the output before it reaches their inbox.

Claude 101 plus AI Fluency comes to about six and a half hours, which fits in one weekend. If you're brand new to Claude, my beginner's guide to Claude for VAs is a good warm-up first.

Comparing this with other providers? Here's which courses are really free across Anthropic, OpenAI, Zapier, HubSpot and more, in my roundup of free AI courses for virtual assistants. And if you're weighing a paid option, here's my breakdown of Google AI Essentials vs the AI Professional Certificate.

Open Claude 101 this week and finish the first section. It's free, so all it costs you is one evening.

Virtual Assistant AI Skills: What 322 Job Descriptions Ask For

About one in four VA roles in a new 2026 dataset names AI in its requirements, and the tool named most often is ChatGPT, in 7.5% of them. If you're trying to become a virtual assistant with AI skills, that tells you where to start.

The numbers come from one recruitment agency's own data, so I'll show you exactly what they cover. Then we'll look at which tools get named, which VA roles ask for AI most, and what Upwork and LinkedIn add.

Where the 2026 Data Comes From

VA Masters, an agency that places Filipino VAs with overseas clients, published "AI in Virtual Assistant Job Requirements 2026." It covers 322 VA roles opened from February to August 2026.

Three things to know before you quote it. First, it's the agency's own pipeline, not the whole market. The report itself says its clients may be more comfortable with tech than the average small business.

Second, its recruiters write the job descriptions after a call with the client, and the client approves them. Third, the figures were corrected on September 15. The headline went from 26.4% down to 23.9%, because Zapier and n8n had been counted as AI tools. Use 23.9%.

Which AI Tools VA Job Posts Name

Here's the headline: 23.9% of the roles mention AI in any form. Only 10.2% name a specific AI tool.

ChatGPT is named in 7.5% of all 322 roles, and Claude in 4.7%. After that the numbers get small fast: Gemini, Midjourney and HeyGen at 1.2% each, Runway at 0.9% and Synthesia at 0.6%.

[INSERT IMAGE: va-masters-ai-tools-table.jpg] VA Masters' table of AI tools and automation platforms named in 322 VA roles, February to August 2026

The report notes that the video and image tools near the bottom show up almost only in creative and social media roles. It also discloses that VA Masters uses Claude in its own operations.

Now the part I found most useful. Automation tools are counted separately, and they're not small. Zapier appears in 5.6% of roles and n8n in 2.5%. Together, that's more roles than ChatGPT alone.

Automation means connecting apps so a task runs by itself, like a form entry that lands in a spreadsheet and triggers an email. As the report puts it, "Employers are not only asking for someone who can write a prompt." If that's new to you, my Zapier for beginners guide starts from zero.

Virtual Assistant With AI Skills: Which Roles Ask Most

This part runs against the usual assumption. The roles that mention AI most are the creative and technical ones, not the routine ones.

Tech and development roles and analytics roles top the list, with 44.0% each requiring AI. Writing and content creation is right behind at 43.3%, then design at 36.7%, social media management at 35.6% and marketing at 33.0%.

Administrative and operations support comes in at 21.8%. It's the biggest category by volume, and it sits just under the average. So roughly one in five admin VA roles in this data asks for AI.

Below that: real estate at 20.8%, e-commerce management at 20.5%, sales at 13.0%, and finance and accounting at just 5.3%.

Two more findings worth knowing. Small clients aren't behind: among clients with ten or fewer employees, 26.7% of roles require AI. That's based on the 30.1% of roles where client size was recorded.

And the share isn't climbing fast. Leaving out March, which the report treats as noise, every month sat between 22.4% and 29.3%. What did rise was how often a specific tool was named, from 4.2% in February to 13.4% in August. The agency calls that an observation, not a trend, because February rests on a single role.

What Upwork and LinkedIn Add

Upwork's In-Demand Skills 2026 report (February 4) found that skills explicitly referencing AI grew 109% year over year on its marketplace. AI video generation and editing grew 329%, and AI image generation and editing grew 95%.

General Virtual Assistance is number one on Upwork's Customer Service and Admin Support list. Ecommerce Management is the fastest-growing skill in that category, up 130%.

LinkedIn reported on October 27 that members who list AI literacy skills are 78% more likely to get hired. Only 1.2% of members list an AI skill at all. LinkedIn names administration and writing among the fields now looking for these skills.

For scale, Indeed's Hiring Lab says AI mentions hit a record high in December 2025, and that was still just 4.2% of US job postings. Across all jobs, a job post that mentions AI is still the exception.

What This Means for VAs

If you do admin work, expect about one in five roles to ask for AI, at least in this agency's data. If you're in writing, design or social media, it's closer to two in five.

Name the tool, not just "AI." ChatGPT and Claude are the two employers write down most. If you can also connect apps with Zapier, say that too.

And since only 1.2% of LinkedIn members list an AI skill, listing yours honestly helps you stand out. Here's which VA skills to put on your resume.

This post is the "what." For the "how," read my guide on how to become an AI virtual assistant, with a three-month learning plan.

Free Virtual Assistant Client Onboarding Questionnaire + AI Follow-Up

A virtual assistant client onboarding questionnaire gets a new client's priorities, tools and boundaries in writing before your first day. Below is the full question list, ready to paste into a Google Form, plus an AI step that turns the answers into a follow-up email and a first-week plan.

Onboarding just means the setup period at the start of a new client relationship. Get it right, and the first week feels calm instead of chaotic.

Why Ask Before You Start

Most VA roles are now part-time and mixed. In VA Masters' study of 323 VA roles from its own database, opened from February to August 2026, 72% were part-time, and 46% were opened at exactly 80 hours a month, roughly 20 hours a week. Only 26% of roles were single-task.

That's one recruitment agency's data, but the lesson is useful. If you only have 20 hours a week across two or three kinds of work, you can't spend the first five figuring out what the client wants.

A questionnaire gets the basics in writing. It also makes you look organized from day one, which is half of what a new client is judging.

The Virtual Assistant Client Onboarding Questionnaire

Copy these questions into a Google Form or a doc. Delete what doesn't fit your services.

[MAYE: paste your Google Form "make a copy" link here]

Section 1: About you and your business

1. Your name, business name and website.
2. In one or two sentences, what does your business do, and who are your customers?
3. What made you decide to hire a VA now?
4. What would make the first 30 days a success for you?

Section 2: Scope and priorities

5. List the tasks you want me to take over, starting with the most important.
6. Which of these is urgent this week?
7. Is there anything you never want me to handle or touch?
8. Roughly how many hours a week or month have we agreed on?
9. If I run out of hours, what should I do first: pause, ask, or finish the top priority?

Section 3: Communication

10. How do you prefer to communicate (email, Slack, WhatsApp, other)?
11. How fast do you expect a reply during my working hours?
12. Do you want a regular update? If yes, how often and in what format?
13. Do you prefer a weekly call, or messages only?
14. Who else on your team will I work with, and what do they do?

Section 4: Tools and access

15. Which tools do you use (email, calendar, task board, CRM, cloud storage, social media)?
16. Which accounts will I need access to?
17. How will you share access? (Please don't type any passwords into this form. A password manager or separate user accounts are safest.)
18. Are there any files, SOPs or past examples I should read first?

Section 5: Schedule and availability

19. What time zone are you in?
20. What are your usual working hours?
21. When do you need me online, if at all?
22. Any holidays or busy seasons coming up?

Section 6: Voice and preferences

23. How should I sound when I write on your behalf: formal, friendly, short?
24. Share one or two emails or posts that sound like you.
25. Any words, phrases or topics I should avoid?
26. How do you like to give feedback on my work?

Section 7: AI and tools

27. Are you OK with me using AI tools (like ChatGPT or Claude) to draft or research? For which tasks?
28. Is there any client or business information that must never go into an AI tool?
29. Do you have AI tools you'd like me to use, or that your company already pays for?
30. How should I mark work that AI helped draft, if at all?

Section 8: Admin and billing

31. Who should invoices go to, and how often?
32. How will you track my hours or tasks?
33. Is there a contract or NDA (non-disclosure agreement) to sign before I start?

Section 9: Anything else

34. Anything about how you work that a new VA usually gets wrong?
35. Anything else you'd like me to know?

How to Build It as a Google Form

Open Google Forms, start a blank form, and add each question. Use "Paragraph" for open answers and "Multiple choice" for things like preferred channel or reply speed. Section breaks keep it from feeling like a wall of questions.

Google's Forms help page explains how to store responses in a linked Google Sheet, so each client's answers land in one place.

Prefer Notion? Paste the list into a Notion page and send the client a copy, or use it as your own call script.

Send it a few days before your kickoff call, and tell the client it's fine to skip anything that doesn't apply. Then the call can be about the gaps, not the basics.

The AI Follow-Up Step

When the answers come in, don't just file them. Paste them into ChatGPT or Claude (minus anything sensitive) with this prompt:

"Here are a new client's onboarding answers. 1) Summarize their top three priorities in plain words. 2) List any answers that are vague, missing or contradict each other. 3) Draft a short, friendly follow-up email that thanks them and asks only about those gaps. 4) Suggest a first-week plan that fits [X] hours. Don't invent details that aren't in the answers. Answers: [paste]."

Then read everything before it goes anywhere. Check that the priorities match what the client actually wrote, and that the email sounds like you.

The gap list is the real win. Say the client named social media as a top priority but listed no social accounts under tools. That goes on the list. It catches the "we'll figure it out later" answers before they turn into a messy week three.

What This Means for VAs

A questionnaire is quiet proof that you run things like a business. Clients notice when they don't have to explain the same thing twice.

Section 7 matters more than it looks. It opens the AI conversation early, before a client assumes AI makes everything instant. My post on setting AI expectations with clients has scripts for that talk.

And once you know the tasks, write them down as SOPs with my free VA SOP template.

Make your own copy of the questionnaire and send it to your next new client before your kickoff call. You'll walk in already knowing what matters to them.

Virtual Assistant Skills for Your Resume: The 2026 List

Only 1.2% of LinkedIn members list an AI skill. That makes AI the easiest way to help the virtual assistant skills on your resume stand out in 2026.

Below is the list I'd use, grouped into core, AI and people skills, plus a skills section you can copy.

The same LinkedIn report says members who list AI literacy skills are 78% more likely to get hired. AI literacy just means knowing how to use AI tools well, and knowing when not to trust them. Most people never write it down. You can.

Core Virtual Assistant Skills for Your Resume

AI sits on top of the basics. It doesn't replace them. Upwork's In-Demand Skills 2026 report ranks the top customer service and admin skills, starting with General Virtual Assistance, Data Entry, Digital Project Management, General Research Services and Executive Virtual Assistance.

Use those exact phrases where they're true for you. Clients and hiring software both search for the words they know.

Range matters too. The recruitment agency VA Masters looked at 323 roles from its own database and found only 26% covered a single type of work. The average role spanned two areas. So show a mix: admin plus research, or inbox plus social media.

AI Skills for Your Resume in 2026

"Knows ChatGPT" is too vague to help you. Name the task, the tool and the check you do.

Here's how I'd word them:

• AI-assisted research, with every fact checked against the original source
• Drafting emails, reports and social posts with ChatGPT or Claude, edited for the client's voice
• Summarizing meetings and documents with AI
• Workflow automation with Zapier (connecting apps so routine tasks run on their own)
• Reviewing AI output for accuracy before it reaches the client

That last one is the line I'd put first, because AI can sound sure of itself and still be wrong.

Demand is real but still early. In a separate VA Masters report, 21.8% of admin and operations VA roles required AI, roughly 1 in 5. I break down which tools those posts ask for in which AI skills VA job posts actually ask for.

Soft Skills, Written So They Count

Every resume says "good communicator." Prove it in a short line instead.

Swap "detail-oriented" for "caught and fixed double-booked meetings before the client saw them." Swap "reliable" for "replied to client messages within two hours on workdays." Only write results you can back up, because a client may ask about any of them.

Skills for a Virtual Assistant With No Experience

No clients yet is fine. Pull skills from what you've already done: school, a BPO or office job, a family business, volunteering.

Running a group project is project management. Keeping a small shop's records is data entry and bookkeeping basics. Answering customer chats is client communication. Write the skill, then a few words of proof in brackets.

A Skills Section You Can Copy

This is a template, not my own resume. Keep only the lines that are true for you.

[MAYE: paste your Google Doc "make a copy" link here]

Core skills: Inbox and calendar management · Data entry and spreadsheet cleanup (Google Sheets, Excel) · Online research and reporting · Digital project management (Trello, Asana) · Travel and meeting coordination

AI and tools: AI-assisted drafting and research (ChatGPT, Claude) with source checking · Meeting and document summaries · Workflow automation (Zapier) · Canva · Google Workspace · Microsoft 365

People skills: Clear written communication · Handling confidential information · Time-zone coordination · Proactive problem-solving

Put this section near the top of your resume, under a two-line summary. Then make your Upwork profile match it. My 3 Upwork profile overview samples use the same wording.

What This Means for VAs

Your resume, your profile and your interview answers should tell one story. If your resume says "AI-assisted research with source checking," expect a client to ask how you check. My virtual assistant interview questions post has a sample answer for exactly that.

If you're still building these skills, start with how to become an AI virtual assistant, then come back and add each one as you learn it.

I share what I'm learning about AI for VAs every week on Instagram at @huneeroyo. Come say hi there.