One path · 8 lessons
Leave knowing how to hand off an entire task to your new assistant—on your computer, in your browser, with your taste in mind—and check the result before calling it done. No coding, no downloading anything beyond what you already use.
Lessons
Leave knowing the difference between asking for text and delegating a clear task—with 3 of your own tasks already chosen to delegate.
Leave with GPT-6 Astra active in the ChatGPT app on your computer and the work conversation pinned where you can find it.
Leave with your first complete task request written—result, place, and proof—ready to paste.
Leave with browser use enabled, a real task prepared as a draft, and the habit of checking before calling it done.
Leave knowing how to ask for a new version, compare it with the previous one, and restore the old one when the new one is worse.
Leave with a one-page style guide—2 examples you admire and 5 of your own rules—ready to attach to every request.
Leave knowing how to read the usage meter, predict when you’ll run out, and separate tasks that need the expensive model from those that don’t.
Leave knowing when a task calls for an extra tool—video, 3D, spreadsheet—and how to ask Astra to use it.
GPT-6 Astra in practice · Lesson 1
By the end of this lesson, you’ll be able to explain in one sentence the difference between asking for text and delegating a task—and point out 3 tasks at work that you can already hand off to Astra this week.
You already use ChatGPT to write emails, summarize documents, and get answers to questions. But you still do the real work: copy the text, open the right program, paste it, review it, and send it. GPT-6 Astra changes that. It doesn’t just respond—it completes the task on your computer. Those who understand this difference today start delegating; those who don’t keep using an expensive assistant as if it were a dictionary.
↓ role to study
When you open ChatGPT, you’re talking to a model. Think of the app as the service counter and the model as the person behind it. From time to time, the company replaces that person with someone more capable, and the counter stays the same.
GPT-6 Astra is the latest change. What changes for you isn’t a number in a table; it’s the speed and autonomy. Tasks that used to take half an hour of back-and-forth now take a few minutes, and Astra can work with programs and pages on its own. The rest of this lesson is about what to do with that.
For the accountant at a small firm, the front desk is still the same ChatGPT she opens every morning. The difference is that now the person behind the desk accepts requests like “put together and send a deadline reminder to the 12 clients on this list,” instead of just writing the reminder text.
A request for an answer ends in chat: you get some text, and it’s up to you to use it. A task request ends outside chat: the result appears where it needs to be—the sent email, the updated page, the filled-in spreadsheet. The same sentence can be either, depending on how you finish the request.
Compare the accountant’s two requests. “Write a reminder about the August tax deadline” asks for an answer: she’ll still have to copy it, open 12 emails, and paste it in. “Send every client on this list a reminder about the 20th’s deadline, with their name and the payment slip amount, and show me the list of sent messages” asks for a task: when it’s done, the work is finished and she only has to check the list.
The practical rule: if your request ends with “tell me” or “write,” it’s an answer. If it ends with “do this there” and “show me proof,” it’s a task. Astra handles both; the change is for you to start making the second kind of request.
Three capabilities account for most of what you can delegate. It uses the browser the way you would: opens pages, clicks, fills things in, publishes. It works with files and programs on your computer: reorganizes a folder, edits a document, changes how a page looks. And it builds things from scratch when you ask: a short intro video, a comparison table, a simple page.
A freelance architect had a portfolio page that hadn’t been updated in two years. Instead of hiring someone, she asked: “make this page look more current and clean, keeping the photos and text that are already on it.” Within minutes, she had a new version to look at—not perfect, but ready for her to say what to change. The point isn’t perfection; it’s that the first version was ready without her opening an editing program.
Before
The architect asks for new text for the page, copies it, opens the site editor, pastes it, adjusts the spacing, and tests it on her phone. An entire afternoon, and the result still looks “pasted in.”
After
She describes the result she wants, attaches a screenshot of the current page, and lets Astra work on it. In minutes, she has a version to review and only needs to decide what to adjust.
Autonomy doesn’t mean infallibility. Two types of mistakes show up often. The first is getting a detail wrong: it publishes a notice with the product’s old name or uses the wrong date, with the same confidence it has when it gets things right. The second is generic taste: when you ask for something “beautiful” without giving it a reference, it delivers what looks like a template page, with nothing that feels like you.
Both have the same solution, and it’s your role from here on: check what was done before calling it finished, and provide enough context before making a request. The accountant who delegates sending 12 reminders still looks over the final list — she trades 40 minutes of typing for 2 minutes of checking. That’s the new job: judging, not executing.
Test yourself
Astra sent the reminders, but one client received another client’s fee. What’s the right takeaway from this episode?
Use two questions to decide what to delegate. Is the task repetitive or mechanical — do you already know exactly how it should be done? And can you check the result in a few minutes by looking in one place? If the answer to both is yes, it’s a good first task. If the result requires your professional judgment on every line, it’s not time yet.
For the architect, three candidates: update the portfolio page with the two new projects; create a table comparing three flooring suppliers based on the PDF quotes; write and send a post-construction email to clients from this semester. For the accountant: send this month’s deadline reminders; organize a client’s receipts folder by month; create a table summarizing each client’s outstanding items.
You won’t learn to do Astra’s work. You’ll learn to make clear requests and review results quickly—and that’s what will make your time worthwhile.
Practice now 0/3 done
Goal: leave with 3 work tasks written in the format "do this there + show me proof." ~10 min, on paper or in any document.
In this practice, you only write—you don’t ask Astra to do anything yet. Nothing is sent, published, or changed. If a task seems too big, just replace it with a smaller one.
You just chose the first 3 tasks you’ll hand off—in a format Astra understands and you can review.
Summary
GPT-6 Astra in practice · Lesson 2
By the end of this lesson, you’ll be able to open ChatGPT on your computer, confirm with the assistant itself that GPT-6 Astra is active, and pin your work conversation so you can find it again tomorrow.
A lot of people thought they "didn’t get" the new model. It was there—behind an update they hadn’t installed, or hidden in an app mode they’d never opened. Losing days to the previous model without realizing it is the most common waste this week. The second most common is starting a good task and not being able to find the conversation the next day.
↓ role to study
Astra works best in the ChatGPT desktop app — the one you download once and keep on your Mac or Windows computer, with its own icon. That’s where the assistant can work with your programs and files. The website in your browser is for chatting, but not for delegating tasks that happen outside the chat.
If you already have the app, the first step is an update. Open the app menu, look for "Check for updates," accept, and let it reopen on its own. The new model arrives with that restart. If you don’t have the app yet, download it from the official ChatGPT website, in the apps section—it takes about 3 minutes.
The accountant had been using ChatGPT only in the browser for a year. When she heard about Astra, she checked the website and couldn’t find anything different. The model had been available on her account since launch day—she just needed to update the desktop app. That was the difference between “I didn’t get it” and “it was here the whole time.”
The first place is your plan. Astra is available on paid plans — Plus and Pro. It won’t appear on a free account, no matter how much you refresh. The second place is the mode in the app: the regular chat, where you talk, and work mode, where the assistant performs tasks. Sometimes the new model appears in work mode first and only later in the regular chat.
This may seem complicated, but it works like two service counters at the same agency: the quick-service counter and the full-service counter. The new person may have started at the full-service counter. You just need to know both exist and check the other one if you can’t find what you need at the first.
The process, in four steps
The architect followed all four steps and found Astra only on the fourth. She had the right plan and the app was up to date; the model was simply at a different counter. Ten seconds after switching modes, it was there.
When you delegate tasks, each one becomes a conversation, and conversations pile up quickly. The app lists them all in the left column, from newest to oldest. After a morning of work, the important conversation may be in tenth place, with a title you don’t recognize. It hasn’t disappeared; it’s just hard to find.
The habit that solves this is pin: hover over the conversation, click the three-dot menu, and choose “Pin.” It moves to the top of the list and stays there until you unpin it. Pin no more than three or four — pinning only helps if you do it sparingly. For the others, give them a name you’ll recognize using the same menu (“Rename”).
The accountant created a conversation for each major client and pinned the three she uses every week: “Silva — pending items,” “Padaria Real — deadlines,” and “Clínica — receipts.” When she opens the app, all three are at the top. She finds the rest by searching for the client’s name.
The safest way to confirm is the simplest. In a new conversation, write "What model are you?" and read the response. If it says GPT-6 Astra, it’s active. If it gives another name, you’re still using the previous model — go back to the four steps. Do this once every time you switch modes or after any update.
The architect spent an entire week requesting tasks, frustrated with how slow they were and with the results. Only at the end did she ask. The answer came with the old model’s name: an update had reset the selector to its default, and she hadn’t noticed. A five-word question would have saved the week.
Common mistake
Assume it’s Astra because you updated the app. Updating brings in the model, but doesn’t guarantee it stays selected—the selector may revert to the default model in a new conversation or after an update. To avoid that, ask “What model are you?” at the start of each work session and check the name in the selector before making a time-consuming request.
Practice now 0/4 done
Goal: finish with Astra confirmed by the assistant itself and a conversation named and pinned at the top of the list. ~8 min, on your computer.
Updating the app and pinning conversations won’t delete anything—your old conversations will stay where they are. If the model doesn’t appear, you haven’t lost anything: it’s just the plan or mode, and the four steps in step 02 will fix it.
You’ve just left Astra on and confirmed, with your first work conversation in the place where you’ll find it tomorrow.
Summary
GPT-6 Astra in practice · Lesson 3
By the end of this lesson, you’ll be able to write a complete task request—with a result, a place, and proof—that Astra can carry out without you explaining every click, and paste in your first real request.
The request that looks most thorough is often the one that creates the most work: a list of 14 clicks you could have done yourself in 10 minutes. Astra doesn’t need the route — it needs the destination. When you learn to describe the result instead of the steps, one request can get done what used to take half an hour of back-and-forth. It’s the core skill of this course; everything that follows depends on it.
↓ role to study
When you commission a bookcase from a carpenter, you don’t explain how to hold the saw. You say what you want finished, where it will go, and how you’ll know it turned out well. It’s the same with Astra. Describing every click treats the assistant like a hand that needs guiding; describing the result treats it like someone who knows how to work and needs to know what to deliver.
There’s a hidden benefit: when you describe the destination, it chooses the shortest path—which you often didn’t know about. A change that would require opening three screens can be done in one by the assistant. If you specify all three screens, it will follow your instructions and waste time.
The accountant wanted to change the footer text in 40 monthly reports. She started writing, “open the first file, go to the bottom of the page, select the text...” and stopped on the third line. She replaced it with: “In all the reports in the September folder, replace the old footer with this text without changing anything else, and show me the list of files you changed.” One request, 40 files.
A delegable request has three parts, always in the same order. The result: what should exist when it’s done, described the way you’d describe it to a colleague. The place: where this happens — which folder, page, conversation, or app. The proof: what you want to see at the end to check it in a minute — a list, a screenshot, the link.
If the result is missing, it asks or makes one up. If the location is missing, it does the work in the wrong place with the same confidence. If the proof is missing, you have to go looking for what it did. Together, the three parts turn “it did something” into “it did this, here, and I saw it.”
Before
"Improve my portfolio page." The architect gets a page changed in places she didn’t ask for, doesn’t know what changed, and spends 20 minutes comparing versions.
After
"On the portfolio page (attached file), add the two projects in this folder, each with a photo and three lines, keeping the current style, and show me the finished page along with a list of what changed."
Astra can’t see what you see unless you show it. It doesn’t know which page you mean, which report you mean, or what "the way I like it" looks like. Three attachments solve almost everything: a screenshot (the screenshot of what you’re looking at), the file in question, and a example of a result you consider good.
The screenshot is the most underrated attachment. It shows the assistant exactly what’s in front of you — the open page, the table, the message — without your having to describe it. On Windows, press the Print Screen key; on Mac, press Command, Shift, and 4. The image is copied, and you paste it into the conversation.
The architect attached a screenshot of her current page and an example portfolio from a colleague she admired, and wrote: “Give mine this look, keeping my text.” The result had the right feel on the first try. Without the example, the same sentence would have produced the usual generic page — the subject of lesson 6.
Requests that are too big fail in predictable ways: it does the half it understood and leaves the other half unfinished, or it does everything and you can’t check it. The measure is proof. If you can’t name a single piece of proof to check in one minute, the request is too big — split it into two, each with its own proof.
The accountant wanted to “close out Mr. Silva’s month.” That’s a morning’s work, not a request. She broke it into three tasks: organize the receipts by month (proof: the folder list), create a table of outstanding items (proof: the table), and write an email with the outstanding items (proof: the draft, not sent). Three requests, three one-minute checks, and the month closed before lunch.
Test yourself
The architect writes: “Update my portfolio, email the clients from this semester to let them know, and organize the photo folder.” What’s wrong with this request?
When working on programs or pages, Astra sometimes stops and asks if it can continue—open an app, sign in to an account, delete something. That’s a safeguard, not a flaw. Read what it’s asking; if it makes sense, reply “go ahead” or “continue.” At other times, it restarts a step and seems stuck: return to the same conversation and write “continue where you left off.”
The mistake is starting a new conversation and repeating the request. Then it starts from scratch, without what it had already done, and you’re left with two halves. The pinned conversation from lesson 2 is there for exactly this reason: that’s where the work is, and that’s where "continue" works.
The first time, the accountant was surprised when it stopped to ask if it could open the email program. She replied, “Go ahead, but drafts only, don’t send anything.” It followed her condition. The permission request became her chance to set a limit — which means more control, not less.
Describe what should exist at the end, say where, and ask for proof. It chooses the steps; you make the call.
Practice now 0/3 done
Goal: a request with a result, a place, and proof, pasted into the pinned conversation from lesson 2, with the proof checked. ~12 min.
The template below ends with "without sending or publishing anything" — Astra prepares it and shows it to you; you decide what to do next. If the result isn’t what you expected, nothing has left your computer: ask again and clarify what was missing.
Tarefa: <o que deve existir quando você terminar, em 1 ou 2 frases> Onde: <a pasta, a página ou o aplicativo — arquivo ou captura de tela em anexo> Mantenha: <o que não pode mudar> Prova: quando terminar, me mostre <a lista / a captura de tela / o rascunho>. Não envie nem publique nada — só prepare e me mostre.
You just delegated your first complete task—with a request that fits in five lines and a review that takes one minute.
Summary
GPT-6 Astra in practice · Lesson 4
By the end of this lesson, you’ll be able to connect Astra to browser use, give it a task that ends with a real draft outside the chat, and check the name, date, and destination before calling it done.
Half of your repetitive work happens in the browser: the client portal, the city system, email, social media. Until now, the assistant wrote and you clicked. Now it clicks. That frees up hours in your week—and creates a new risk: the day it publishes something with the wrong name and no one checks. This lesson shows you how to connect the feature and why you should never skip the review.
↓ role to study
When the assistant uses the computer, it looks at the browser screen the way a person would, decides where to click, types, scrolls the page, and checks what appeared. It’s not magic or a secret shortcut: it’s the same sequence of actions you would take, carried out by the assistant while you watch. You see pages open and fields fill in in real time.
The important consequence: anything you can do on a page, it can do too — and anything you couldn’t do (an account you’re not logged into, a system that requires a code on your phone), it can’t do either. It inherits your access, no more and no less.
The accountant watches as the assistant logs into a client’s portal to download that month’s forms. She sees the login page, the menu open, and the files saved to the right folder. If anything looks wrong, she stops it. The first time, she watched everything. By the tenth time, she checked only the evidence.
For the assistant to see your browser, it needs a extension in Chrome. This may sound technical, but it works like a new outlet on the wall: you plug it in once, then just switch what’s connected on and off. The extension is the outlet; the ChatGPT app is the device.
Connecting browser use in four steps
The architect tested it with a flooring supplier’s website: “Open this supplier’s page and tell me the three cheapest floors per square meter.” She watched the tab open on its own, the page scroll, and the answer arrive with the prices. That was enough for her to trust the next step.
With the browser connected, the request from lesson 3 has a new destination: the result now exists on a page, not in the conversation. A notice posted in the client group, a system form filled out, an email prepared. The request structure doesn’t change—result, location, proof—but now the proof is a screenshot of where the work ended up.
The golden rule for getting started: ask drafts, not sending. "Prepare the email and save it in drafts without sending." "Write the notice in the publishing box and show me the screen before publishing." The assistant does 95% of the work, and the final click is still yours. After a few weeks of worry-free review, you decide what to allow.
The accountant asked: “In my email, prepare a message for each client on this list about the deadline on the 20th, with each person’s name and filing amount, and leave them all as drafts. Show me a screenshot of the drafts folder at the end.” Twelve drafts in three minutes. She opened two at random, checked the name and amount, and sent them all with one click each.
A real case from the launch sums up the risk. Someone asked the assistant to post a notice about a new GPT-6 training in a customer group. It opened the group, wrote a good message, and posted it—and the message said “GPT-5.” Everything was right except the detail that was the whole reason for the notice. The person only noticed later, when looking at the group.
The mistake doesn’t erase the benefit: the notice was written and published in one minute. But it shows why "publish" without "show me first" is an unnecessary risk at the beginning. Three things to check in every task that comes out of the chat: the name (of the product, client, or person), the date or value, e o destination (the right group, the right email, the right page).
Common mistake
Ask it to “publish” or “send” in the first week, and check only afterward. It happens because the result arrives quickly and is well written, so your confidence grows before you’ve built the habit of checking. To prevent it: for the first few weeks, end every request with “leave it as a draft and show me the screen”; check the name, date or amount, and destination—three quick looks, one minute.
The architect applies the same standard to the construction notice it prepares for the condo association: she checks the building’s name, the start date, and whether the draft is in the right property manager’s email. Only then does she click Send. Thirty seconds that prevent weeks of embarrassment.
Practice now 0/4 done
Goal: the browser connected and a real email prepared by Astra in your drafts folder, checked by you for name, date, and recipient. ~10 min.
The request ends with "leave it in drafts, without sending" — nothing leaves your inbox without your click. If the draft is wrong, delete it and ask again; if the browser won’t connect, go back to the four steps in step 02 and nothing has been lost.
No meu e-mail (aba já aberta no navegador), prepare uma mensagem para <nome do cliente> avisando que <o assunto: prazo, entrega, reunião> é no dia <data>. Tom: <cordial e direto>. Assine como <seu nome e função>. Deixe em RASCUNHOS, sem enviar, e me mostre a captura de tela do rascunho pronto.
You’ve just let the assistant work inside your browser—and kept the final click for yourself.
Summary
GPT-6 Astra in practice · Lesson 5
By the end of this lesson, you’ll be able to ask for a new version of something Astra made, say exactly what got worse, compare the two, and restore the previous version if the new one is worse—without losing either one.
The first version is rarely the final one, and that’s where many people give up: they ask, “make it prettier,” get something worse, and conclude that “the tool doesn’t work.” The problem isn’t the tool; it’s the vague request and the fear of messing up what was already good. People who learn to iterate—ask, look, name the problem, ask again—get there in three rounds, while others never do.
↓ role to study
When you commission a project, the first sketch is a proposal, not the final delivery. It’s the same with the assistant: the first version is there for you to look at and react to. Expecting it to be finished is the wrong expectation; what it delivers quickly is the first version in minutes, and what you deliver is your judgment about it.
This changes how you think about time. Before, an afternoon of work produced one version. Now, ten minutes produce three—and the third is usually the good one. The skill isn’t getting it right the first time; it’s responding well between one version and the next.
The architect asked the assistant to make the firm’s project map “prettier and more useful.” The first version was darker, had less information, and was clearly worse than the old one. She nearly gave up right there. Instead, she looked it over, noted what had gotten worse, and asked again. The second version was better than the original.
A good request for a new version has the same structure as a task request: point out the specific problem, say what to keep, and ask for proof. “Make it prettier” doesn’t point to anything. “It got darker and lost the project names; keep the old color scheme and bring the names back” points out two problems and one thing to preserve.
The formula is to compare the new version with the previous one using three questions: what got worse? what got better and should stay? what’s still missing? The answers become the request. Without a comparison, you react to the new version without context, and the request ends up vague again.
Before
"I don’t like it, make it prettier." The accountant gets a third version that’s different from the first two and unrelated to what bothered her. Four rounds, none good.
After
"In the new version, the table lost the due date column and the colors are too bold. Keep the new header, which is better, bring back the column, and use lighter shades." One round, done.
When the new version turns out worse and you don’t want to keep trying, there’s a simple option: “Restore the previous version.” The assistant saves what it did at each stage of a conversation and knows how to go back to how things were before the last request. This applies to a page, a document, a table — anything it changed at your request.
Think of a version like a stored clipboard: the new one doesn’t erase the old one; it just goes on top. Knowing this takes away the fear of asking for bold changes. The worst case is saying “put it back the way it was” and losing two minutes.
The accountant asked for a complete reorganization of the client tracking spreadsheet. The new version was logical, but she couldn’t find her way around it anymore. “Restore the previous version and make just one change: separate active and inactive clients into tabs.” She got what she needed without losing the spreadsheet she knew.
Test yourself
The new version of the page turned out worse, and the architect doesn’t want to spend more rounds today. What’s the right request?
Sometimes you want to try something radical—a completely different page, a new report format—but you don’t want to risk what’s currently in use. The way to do it is to ask for a draft copy: “Make a copy of this page and, only on the copy, try a completely different look. Leave the original as it is.” If you like it, ask to apply it to the original. If not, delete the copy.
That’s what an office does with a project in progress: the approved version stays in the drawer while the experiment happens on a separate drawing board. With the assistant, that takes one sentence. The rule is: small change, make it in the original with “restore” as a safety net; big change, make it in a copy.
It’s easy to make bold requests when undoing them takes one sentence. The courage isn’t in the idea; it’s in knowing nothing will be lost.
The architect wanted to try a portfolio with large photos and no text. She asked for it on a copy, looked at it for two days, and decided she preferred the original with two larger photos. She applied only that change. The bold idea led to a small, safe improvement without a week of a broken page.
Putting it all together, the iteration cycle has four steps that repeat until you approve. Ask the version with the result, location, and proof. Look the proof, comparing it with the previous version. Naming what got worse, what turned out well, and what’s missing. Ask again with these three answers—or restore the previous version if the round wasn’t worth it.
Three rounds are usually enough. If you still haven’t approved it by the fourth, the problem is almost always a lack of reference—the assistant doesn’t know what you like. That’s the subject of the next lesson, and it’s what turns three rounds into one.
The accountant applied the cycle to her monthly report template: she asked, looked, pointed out issues (“the font is too small, the totals disappeared”), and asked again. On the third round, she approved it and asked to apply it to all 40 reports in the folder. The architect did the same with her portfolio page. Two professions, the same cycle — only what each checks in the evidence changes.
Practice now 0/3 done
Goal: ask for a new version of something Astra already did for you (the task from lesson 3 or 4), compare the versions, and try "restore" once. ~10 min.
Nothing is lost in this practice: the previous version stays in the conversation, and the last step is to ask for it back. If something looks wrong, "restore the previous version" undoes the round.
Comparando a versão nova com a anterior: - piorou: <o que ficou pior, concreto> - ficou bom, mantenha: <o que melhorou> - ainda falta: <o que não apareceu> Faça uma nova versão com isso e me mostre <a mesma prova de antes>.
You just went through the whole cycle—request, compare, name, undo—and saw that no version gets lost along the way.
Summary
GPT-6 Astra in practice · Lesson 6
By the end of this lesson, you’ll be able to put together a one-page style guide—2 examples you admire and 5 rules of your own—and attach it to a request so Astra delivers something that feels like you on the first or second try.
Ask for a “nice” page without a reference and you’ll get the page anyone would get: clean, dark, and impersonal. That’s not a limitation of the assistant — it’s a lack of information. It’s never seen what you consider beautiful, the tone you use with clients, or your office colors. A guide page solves that all at once, and applies to every request from here on.
↓ role to study
When your request doesn’t include any reference for what you like, the assistant does what any professional would do without a brief: delivers the average of what tends to appeal to people. A website page redesigned from scratch comes out correct but bland, like a thousand others. That’s not laziness or a limitation; it’s the absence of information that only you have.
Imagine a talented new employee on their first day. If you ask them to “put together a nice presentation,” they’ll make a nice presentation — according to their taste, which isn’t yours. The assistant is that employee; every day is the first day, and the only way it can match your taste is if you tell it.
The architect asked the assistant for a new version of the firm’s website without providing a reference. She got a dark, minimalist, technically flawless page that was completely different from her work, which is bright, full of wood, and lit by natural light. She discarded the version and correctly concluded that the problem was with the request.
"Elegant," "modern," and "welcoming" mean different things to everyone. An example doesn’t: a page by someone you admire, a report you found clear, an email you saved as a template. When you attach the example and say "with this feel, keeping my content," the assistant has something concrete to imitate instead of an adjective to interpret.
Two examples are enough, and it’s best if they’re different from each other: one shows the tone, the other shows the format. More than three gets confusing because it tries to please everyone at once. Also say what you admire about each one, in a single line—“I like the white space in this one” or “I like how this one sums things up in three sentences.”
Test yourself
The accountant wants the monthly reports to look “more professional.” Which request is most likely to get it right on the first try?
Beyond examples, there are things you know about your work that you repeat in every correction: “never use red,” “always sign with your full name,” “short titles,” “talk about yourself, never about us.” That’s a style guide. It doesn’t need to be pretty or long: one page, with 2 examples, 5 rules for what to do, and 3 things never to do.
Write the rules as you’d tell a new coworker, not like a manual. “Always highlight the monthly total at the top” is a rule. “Prioritize the visual hierarchy of financial information” is a manual—and the assistant understands the first one better because it’s what you’d actually do.
Before
Each of the architect’s requests starts from scratch: “make it clear, with wood, with light.” Three rounds per page, and the next page starts the same conversation all over again.
After
She attaches the one-page guide to every request: 2 portfolios she admires, 5 rules (“large photos, short text, light colors, one accent color, never a dark background”). The first version already has the right tone.
The guide only works if it’s always within reach. Save it as a simple document — a text file or a document in the editor you already use — with a name you’ll recognize: "style guide — office". From then on, every task request involving appearance or tone starts with "follow the attached guide." You don’t rewrite the rules; you attach them.
Over time, the guide grows. Every time you have to correct the assistant a second time about the same thing, that’s a sign a rule is missing: add a line. The guide becomes a record of your taste—and starts working for other people or assistants who work with you, too.
The accountant has two guides: one for appearance (reports and tables) and one for tone (emails and client notices: “courteous, direct, no jargon, always bold the deadline”). When she requests a notice, she attaches the tone guide. When she requests a report, she attaches the appearance guide. Each fits on one page and grew out of the corrections she got tired of repeating.
Put the two lessons together: the iteration cycle from lesson 5 still applies, but with the guide, it starts closer to the finish. The first version already follows the rules that matter to you; the next round, if there is one, fine-tunes details instead of redoing the direction. The time you spent explaining things again becomes time spent evaluating.
There’s one honest limitation: the guide doesn’t replace checking the work. It gets the style right, not the facts. Name, date, amount, and destination still need the three checks from lesson 4. The guide cuts down on rounds of visual tweaks; checking still protects the content.
The assistant can’t guess what you like. It imitates what you show it and follows what you write — once, on a page.
The architect and the accountant now share the same habit: task request, guide attached, evidence at the end. For one, the guide covers photos and tones; for the other, totals and deadlines. The process is identical, and it’s what makes the first version feel like it was made by someone who knows them.
Practice now 0/4 done
Goal: a one-page document with 2 examples, 5 rules, and 3 "nevers," attached to a real request, with the first version following at least 3 of the 5 rules. ~12 min.
The guide is your document, stored wherever you want — nothing is sent or published. If the assistant’s first version ignores a rule, that’s not your fault: make the rule more specific and ask again in the same conversation.
You’ve just given the assistant a memory of what you like—a page that applies to every request from now on.
Summary
GPT-6 Astra in practice · Lesson 7
By the end of this lesson, you’ll be able to read your usage meter, predict which day of the week you’ll run out at your current pace, and sort the week’s tasks into those that require Astra and those a regular model can handle.
Astra is fast and powerful, which is exactly why it can use up your weekly quota in hours, not days. If you figure that out on Thursday, with the work half done and the meter at zero, you’ll spend the weekend waiting for it to renew. The solution isn’t to use it less; it’s to use the expensive model only where it makes a difference and leave the rest to simpler models included in the same subscription.
↓ role to study
Your subscription doesn’t give you unlimited use of Astra. It gives you a quota: an amount of work per week that renews on a set day. Each task it performs uses up a portion, and big tasks — changing an entire page, making a video, reorganizing a folder with dozens of files — use up big portions. It works like a book of vouchers: each request uses one, and the book is full again on renewal day.
An honest reference from the launch: one 40-minute morning of demanding tasks used about a quarter of the weekly quota. At that pace, the entire quota would last less than three hours of intense work. That’s not a reason to use less; it’s a reason to choose where to use it.
The accountant started the week by asking Astra to completely reorganize three client folders, each with hundreds of files. By Tuesday afternoon, the meter showed just over half remaining. She hadn’t done anything wrong — she’d spent her quota on three tasks a simpler model could do just as well.
Before
Everything with Astra: organize folders, rename files, draft notices, redesign the page. Quota used up by Wednesday; no assistant on Thursday or Friday.
After
Use Astra only for tasks that require judgment and several steps — the page, the video, the analysis of the quotes. Everything else can go to a regular model included in the same subscription. The quota lasts all week.
The app shows a usage meter in your account area: a bar or percentage showing how much you have left for the week, and the date your quota renews. Some plans also have an extra reserve you can use when the main quota runs out — a kind of smaller second ledger. Check the meter once a day, at the start of work, the way you check the fuel before heading out.
This may look like a control panel, but it’s just two numbers: how much is left and when it resets. With those two, the math is simple. If you’ve already used half by Tuesday, your current pace will use it all up by Thursday. If you want to make it to Friday, move Wednesday and Thursday’s heavy tasks to another model or wait for the reset.
The architect writes down both numbers in a corner of her planner every morning: “60% left, renews Saturday.” Within two weeks, she could predict without checking whether the task she was about to request would fit within her quota. The prediction matters more than the number: it’s what helps her decide what to do today and what to leave for later.
The same subscription includes other models that are simpler and cost less toward your quota. They do a great job on work that doesn’t require judgment across several steps: drafting a notice using your tone guide, renaming files according to a clear rule, summarizing a document, answering a direct question. Using Astra for that is like asking the senior partner to staple papers.
Use the same yardstick as in lesson 1, applied to the model. Does the task require understanding multiple screens, making decisions along the way, working in programs, or building something from scratch? Astra. Is it a clear rule applied many times, or text based on a guide? Regular model. If you’re unsure, start with the regular model: if the result is weak, switch to Astra in the same conversation.
Test yourself
The accountant has 4 tasks today: rename 200 receipts by date, draft 12 notices using the tone guide, compare 3 PDF quotes and choose the best deal, and enter 30 transactions in the city system. Which ones should go to Astra?
There’s a step beyond choosing the model for each task: asking Astra itself to distribute the work. It’s called orchestrate: Astra plans the work, breaks it into parts, and sends the mechanical parts to a regular model, while handling coordination and the final review. You pay for Astra’s quota only for planning; repetitive execution is cheap.
That’s what an office does with a large project: the senior professional sets the direction and reviews the work; the team draws the plans. With the assistant, you can fit that into one sentence in your request: “Plan this task, handle the repetitive parts with a simpler model, and bring me the checked result.” It understands the request and organizes the work that way.
Use the best model to make decisions, not to repeat them. Repetitive work can use a simpler one—and your quota will last until Friday.
The architect asked: “Plan the portfolio update with the 8 new projects. Define the template for each profile with Astra, generate the 8 profiles with a simpler model following the template, and show me all 8 side by side so I can review them.” Planning used little quota; the 8 profiles used almost none. Her review took five minutes.
One real limitation of assistants today: each conversation knows little about the others, and different assistants know nothing about one another. If you use Astra for one part of your work and another assistant for something else, each starts from scratch. The solution is simple and old: a notes folder yours, in regular text files that you attach or point to in every request — the style guide from lesson 6 is its first resident.
Put in this folder the things you’re tired of explaining: the style guide, the client list with each person’s preferences, the year’s fixed deadlines, and the way you name files. Note-taking tools like Obsidian work well because they store everything in plain text that any assistant can read. But a regular folder with text files will do the job too.
The accountant has a folder called “office memory” with four files: a tone guide, an appearance guide, a deadline calendar, and client profiles. Every request starts with “read the office memory folder first.” Astra, the regular model, and any future assistant all start from the same place—and she never has to explain the same deadline twice again.
Practice now 0/3 done
Goal: the meter’s two numbers written down, an estimate of when you’ll run out at your current pace, and the week’s tasks sorted into "Astra" or "regular model." ~10 min.
Checking the meter doesn’t use up your allowance, and classifying tasks is just note-taking — nothing is being requested from the assistant in this exercise. If the meter doesn’t appear where the lesson says it should, look for “usage” in your account settings; the panel moves around, but the two numbers are always there.
You just turned your Thursday surprise quota into a plan for the week—with the expensive model reserved for what only it can do.
Summary
GPT-6 Astra in practice · Lesson 8
By the end of this lesson, you’ll be able to recognize when a task calls for an extra tool—video, 3D, spreadsheet—ask Astra to use it, and follow a twenty-minute task without staying glued to the screen.
So far, the assistant has worked with what’s already on your computer: the browser, your files, your email. But some tasks call for a full program you’ve never opened—a video editor, a 3D modeling program. The good news is that it can open and operate these programs on its own when you give it the right tool. The bad news is that, without knowing this, you keep thinking that “video” and “3D” are things you have to hire someone to do.
↓ role to study
The assistant gains new capabilities in two ways. The first is a recipe: an instruction document that teaches a way of working — “this is how you put together a short presentation video.” The second is a connection: a connection to a program already on your computer, through which it operates that program as if it were using the keyboard.
This may seem like a programmer’s thing, but it works like a professional’s toolbox: the recipe is the instructions for a technique; the connection is the tool itself. You don’t need to know how to build either one. You need to know they exist, ask it to use them, and—when it suggests finding a new recipe online—ask it to check where it came from before using it.
The architect discovered the difference when she asked for “a 30-second video introducing the firm.” The assistant said it would need a video recipe and asked if it could activate one. She replied, “Go ahead, and tell me where it comes from.” It activated it, explained its source, and the video was ready minutes later.
The most useful example for most offices is a short video: 30 seconds introducing the service, with on-screen text, transitions, and background music. There’s a free recipe for this called Remotion, which the assistant activates and uses. You don’t open a video editor. Describe the video as you would to someone who was going to make it, and you’ll get a file ready to publish.
From request to video, in four steps
The accountant asked for a 30-second video for the start of the year: “four deadlines every small business needs to know.” The firm’s name at the beginning, four dates on screen, the guide’s sober tone, and the contact details at the end. She posted it on the firm’s profile that same day. She had never opened a video editor, and still hasn’t.
The most impressive launch example was 3D. With a connection to a free modeling program called Blender, the assistant builds objects and scenes in three dimensions from a description — and can even build a simple game, with a track, car, and sound, in a single request. It opens the program, models, adjusts, and tests for about twenty minutes, without anyone touching the keyboard.
This isn’t for everyone, and that’s okay. Ask yourself: "In my work, is there something I design, assemble, or represent today that a program could do better?" If so, there’s probably a connection for that program. If not, you don’t need this part—the toolbox approach still applies to spreadsheets, word processors, and browsers.
For the architect, the answer was yes: she asked for “a simple 3D model of this floor plan, with the walls and openings, so I can show the client where the morning light comes in.” Twenty minutes later, she had a scene she could rotate on screen. For the accountant, the answer was no — the program she needs it to operate is the spreadsheet, and it already has that connection.
Tasks with extra tools usually take ten to thirty minutes, and the assistant works on its own during that time. You don’t need to watch. Leave the conversation open, do something else, and come back. Two behaviors are normal and don’t mean there’s an error: it may ask permission to open or restart a program, or it may stop after a restart as if it had forgotten what it was doing.
In both cases, the response is short. For permission: read it and reply "go ahead." If it stops: return to the same conversation and write "continue where you left off." It picks up where it was. Don’t do what lesson 3 already warned you about: start a new conversation and repeat the request, because then twenty minutes of work starts over from scratch.
Common mistake
Resend the entire request when it restarts or asks for permission in the middle of a long task. It happens because a few minutes of silence feels like a freeze, and your instinct is to “send it again.” To prevent it: wait for its notification, reply only “go ahead” or “continue where you left off” in the same conversation, and check the proof at the end—not the process halfway through.
The accountant left the assistant working on an annual deadline spreadsheet through a spreadsheet connection, went to a meeting, and came back 25 minutes later. A permission request was waiting. She replied, “Go ahead,” and it finished in three minutes. Then she checked the evidence: the spreadsheet, with all 48 dates for the year across four tabs.
Practice now 0/3 done
Goal: a 30-second video introducing your work, made by Astra using the video recipe, checked by you for name, differentiators, and length. ~12 min, mostly waiting.
The video is created in a new folder, separate from your files — nothing of yours is changed. If it asks to activate the recipe, “go ahead” is safe: it’s a free, well-known tool, and you can ask where it comes from. Didn’t like the video? Ask for another round of adjustments; nothing has been published.
Use a receita de vídeo Remotion para montar um vídeo de 30 segundos apresentando <nome do escritório>. Conteúdo, nesta ordem: o nome; o que fazemos em 1 frase (<frase>); três diferenciais (<1>, <2>, <3>); fechamento com <contato>. Siga o guia de estilo em anexo. Música de fundo discreta. Se precisar ativar a receita, pode — me diga de onde ela vem. Prova: me mostre o vídeo pronto e a duração exata.
You just made a video without opening an editor—by asking clearly, choosing the right tool, and reviewing the result at the end.
Summary