Your first day with an AI tool
Forty-five habits that decide whether your first day with an AI tool costs you money, files, or an afternoon.
The rules, section by section
Before the rules
Nobody hands you a list on the first day. You open the tool, type something reasonable, and it works well enough that you keep going.
The trouble arrives later, and always the same way: money spent that nobody agreed, a file that came back changed in ways you never asked for, a job that ran an hour with nothing to show, or a confident sentence saying the work is finished when the work is not.
None of that is exotic. Forty-five habits cover almost all of it, and every one of them can be learned in an afternoon. What follows is those forty-five, in the order they tend to matter, each written out properly rather than as a slogan.
Read them as sentences you could say to the tool tomorrow morning. Every rule carries the reason behind it, the mistake it prevents, and the same request phrased two ways — one that works, and one that quietly does not.
A. Money the tool can spend
Money leaves quietly here. No card machine, no confirmation screen, and every single charge small enough that not one of them would make you look up.
You ask for images for a deck. Four hundred of them, a few pence each. The first time anyone says the total out loud is the statement at the end of the month.
Paid work is charged per item, and the multiplication is the part nobody says. Eight habits cover almost all of it, and every one is a sentence you say before anything starts.
Before you let it do anything that costs money, say a number out loud: stop and ask me before the total passes two dollars.
Paid work is charged per item, and nothing in the tool knows what counts as a lot for you. With no number in front of it, how much of your money gets spent is decided by whatever happens to be running.
Don't set the budget in feelings. Keep it cheap and don't go mad have no value anything can compare against, so nothing ever crosses a line.
When a message tells you money is being spent right now, treat the line as news rather than a question. Stop the job and make the decision again from the start.
You might think a notice in the present tense means the job is still open, but it actually describes something already finished. The right time for a yes was before the first call went out.
Don't reply fine, carry on because the work is already moving. Momentum is not a reason, and the spending continues while you are still reading the sentence about it.
Before anything runs more than a few times, ask for the arithmetic in one line: the cost of one item, the number of items, and the two multiplied.
The price of a single item is small enough to feel free, and the multiplication is the part nobody says out loud. A plan can grow ten times over without any single step looking expensive.
Don't accept a total with no working shown. A number on its own cannot be checked, and a wrong count is the commonest way a bill triples.
Say yes twice. Once for the small test, again for the full run, and treat the second yes as its own decision with its own number.
The test answered whether the work is right. Whether the size is right is a different question with a different bill, and nothing about a good sample of five makes nine hundred affordable.
Don't let one approval stretch across a change of scale. A go for five is not a go for nine hundred, however well the five turned out.
Set a hard stop at twice the estimate and let it end the job on its own. Don't wait to see where the number settles.
Runaway costs rarely arrive as one large charge. A step quietly repeats, so the number keeps climbing at the rate it has been climbing, and a rate is the thing that does not stop by itself.
Don't watch it pass the estimate and give it a little longer. Waiting has never once made the curve bend back down.
Putting a limit in the conversation is tempting, but the safer way is to add the limit inside the job itself, as a running total that halts the work the moment it is crossed.
Agreeing a number in chat does not create anything able to act on the number. Only something counting while the work runs can stop the work.
Don't treat a budget you have discussed as a budget that exists. A figure agreed in prose is a wish, and a wish has never stopped a single call going out.
When a cost arrives with a comparison attached, ask again for the number by itself: the figure, the unit, and where the price came from.
A comparison is an argument for yes. Well under your limit also hides repetition, because one cheap run says nothing about the forty more that will happen before the day ends.
Don't accept only, barely or well within as part of a price. Softeners belong to whoever is spending, never to whoever is paying.
For repetitive work such as sorting, tagging, renaming or reformatting, turn the model's extra thinking off before the run starts.
Some models work a problem through before answering, and that working is charged at the same rate as the answer while sharing the same space. On a long list the answer gets cut off partway, so the run has to be paid for twice.
Don't leave the setting alone and learn about it from the failures. Output that stops halfway down a list is the symptom, and by then the money has gone.
Try these — money the tool can spend
No score, and nothing to finish. Every wrong answer opens with why the wrong idea was tempting.
B. Your files are not safe by default
A tool working directly on your files has no recycle bin behind it. Nothing here is dramatic. The damage is quiet, and you usually meet it weeks later.
You hand over a spreadsheet of contacts and ask for the phone column tidied. Back comes the whole sheet, rewritten, two columns you never mentioned now in a different order, and the version you had is gone. The save reported success.
Ten habits sit here and most cost seconds. What they buy is not caution. Once the original is safe you can ask for the ambitious version, the one you would never risk on your only copy.
Make a copy of the file before the first change of any session, every session, without exception.
The copy you did not take is always the one you needed. A session that goes well never calls for it, and a session that goes wrong calls for it in the first ten minutes.
Don't lean on a copy from earlier in the day. Hours old means hours of work sitting outside anything you can get back.
Take a fresh copy right before you start work, not once at the beginning of the day.
A copy is only worth what it holds. One made six hours ago holds the file as it was six hours ago, so everything since then is work you would have to do again from memory.
Don't treat the age of a copy as a detail. An old copy gives you the same feeling of safety with none of the cover.
Copying both files in the same point is important because when two files work as a pair, missing one can break the link between, for example, a document and the sheet behind it.
Recovering one half while the other is gone is its own bad afternoon. The halves have to match, and a copy of one alone cannot put them back in step.
Don't call a copy of the visible half a backup. The part you never look at is usually the part that took longest to build.
Know that opening a file to write into it empties the file first, before a single character goes in.
If the writing then stops halfway, through a crash or a full disk or a job that got killed, you are left holding an empty file instead of your old one. From the outside an empty file and a saved file look the same.
Don't assume a failed save leaves the old version behind. Nothing warns you, and the failure is silent.
Write the new version to a temporary file, then replace the original with it in one move.
A swap either happens or does not. A crash during the writing damages only the temporary file, so the version you already had stays whole.
Don't write straight over the original to save a step. The step you saved is the one protecting everything that came before it.
Check there is free space on the disk before writing anything large.
A disk that fills partway through a write leaves a file of nothing and reports no error at all. The job says it finished, and the finishing is what emptied the file.
Don't file disk space under infrastructure. A full disk destroys data quietly, which is worse than destroying it loudly.
Treat a delete as final. A file removed from a command line has no recycle bin behind it and no undo.
Confirming costs you five seconds. Rebuilding what vanished costs hours, and sometimes the thing cannot be rebuilt at all because whatever produced it has moved on.
Don't approve a delete you have not seen listed. Anything that cannot show you the list first should not be running the delete.
Name the files you mean, and name the ones to keep. Say both out loud.
Everything except this one gets read more widely than you meant. Something you never mentioned goes, and finding out happens much later, usually when you go looking for it.
Don't describe a set by what it relates to. Related is a judgement, and the judgement being made is not yours.
Read where a test run writes its output before you start it. A test can overwrite the real thing.
Plenty of jobs write to the same place whether you asked for three items or three thousand. A small flag limits how much work is done, never where the work lands.
Don't let the word test carry the safety. Nothing about a smaller run makes the destination different.
Never empty a growing record in order to run it again.
A second run adds what is missing and skips what is already there. Emptying it first throws away everything the earlier runs collected, and those runs are the part you cannot repeat cheaply.
Don't clear a store to get a clean run. Clean is not the goal here; complete is.
Try these — your files are not safe by default
No score, and nothing to finish. Every wrong answer opens with why the wrong idea was tempting.
C. Work that runs away from you
Most bad sessions have the same shape. Work you cannot see, running somewhere you cannot reach, for far longer than anyone intended.
An hour goes by. The screen says nothing. You close the window to get attention, and closing it is what finally stops the job, part-finished, with nothing written down.
Seven habits keep a running job in front of you: interruptible, reporting as it goes, and saving each result the moment it arrives rather than at an end that never comes.
Never let it start work you cannot interrupt. Everything runs in front of you, where one keypress stops it.
You might think you can stop any job you see, but a job that has detached keeps running where nobody can reach it. The only way left to stop it is by closing the window.
Don't accept work moved into the background so the chat stays responsive. A responsive chat is worth nothing once the work is out of reach.
Know that a job started from a shell dies when the shell closes, part-finished and reporting success.
A script stops at record 134 of 900 and exits cleanly. Success and silent death look identical from the outside, so the gap surfaces days later as missing rows.
Don't read an exit without errors as an exit with the work done. The two are unrelated.
Give every long job a time limit sized to that job.
With no limit, a job can run for hours after it stopped making progress. With a limit copied from habit rather than from the task, real work gets killed at fifty-five seconds while it is still going fine.
Don't reach for a standard number. A forty-second walk through a folder needs two minutes, not whatever cap you use for everything else.
Ask for one line of progress every few minutes, and for the work to carry on while you read it.
Silence for an hour costs you the hour. Stopping to ask permission at every step costs the same hour a different way, and leaves you deciding things you already decided.
Don't let a request for visibility turn into a request for approval. The rule is do not go quiet, never stop and check.
Anything you type while a job is running is an interruption, and it takes priority over the job straight away.
Having to close the window to get noticed means something went wrong long before you closed it. Your message is never background to a running task.
Don't wait politely for a job to finish before raising something. The waiting is the failure, and the failure belongs to the tool, not to you.
Have each result written to disk as it arrives, rather than collected up and saved at the end.
Collecting a thousand results in memory and writing once at the finish means a crash at nine hundred saves none of them. The work was done; the record of it was not.
Don't accept saving at the end because the code reads more tidily. Tidy is not a property you need here; recoverable is.
Run three items. Look at them properly. Then run the rest.
The first three decide the shape of all nine hundred, because everything after them is a copy of a choice already made. Reading three costs a minute, and finding the wrong shape at nine hundred costs the whole run.
Don't let a small batch go by without your eyes on it. A batch nobody read is not a test, only a delay.
Try these — work that runs away from you
No score, and nothing to finish. Every wrong answer opens with why the wrong idea was tempting.
D. Asking for the right thing
Almost everything that goes wrong is decided in the asking, in the first thirty seconds, before any work happens at all.
Make it like our other page, and open this file and copy it, are the same request to you. Only one of them keeps your own work at the centre. The other hands the decision to whatever the model imagines your other page looks like.
Eight habits here, and they share one idea. Point at things. Name them. A request built from nouns can be checked; a request built from adjectives cannot.
Pointing at the exact file by name and path works better than describing it, because the wrong file is easy to copy when the details are not clear.
Make it like our other page hands the decision to whatever the model imagines. Open this file, copy the layout, change only the words puts your own work back at the centre of it.
Don't describe a style you already have a file for. A description is a second-hand account of something you could hand over directly.
Ask what it found in a file before you let it act on the file.
A confident acknowledgement costs nothing to produce and reads the same whether the reading happened or not. One question, such as what does the third section say, settles it in a line.
Don't take I've read it as evidence that reading occurred. The sentence is generated as easily as any other sentence.
Send the whole thought in one message. If more is coming, say hold first.
A model cannot see you typing. Work starts on your first line with no way to know that two more are on the way, so you get an answer to a question you had not finished asking.
Don't spread one instruction across three messages. Each one lands as a complete request and gets treated as one.
Count the items in the plan that comes back and compare that with the number in your request. More items means it drifted.
The cheapest test you own, and it takes five seconds. Four things asked for and eleven returned means seven of them belong to the model rather than to you.
Don't argue the extras one at a time. Send the plan back to the size of the ask, then discuss anything left over on its own.
Keep findings out of the work. Anything spotted along the way goes in one line at the end, and stays there until you pick it up.
Adjacent problems folded into the job make the inflated version the default, so you end up arguing your own request back down to the size it started at.
Don't accept a fix bundled with the thing you asked for. Bundling quietly removes your say over the second one.
Say that new means alongside. The old version stays until you say otherwise, in words.
Add and replace look similar in a summary and are nothing alike on disk. A version you approved is a standard, and a standard is not raw material for the next idea.
Don't let a rebuild absorb the thing being rebuilt. Anything about to be removed gets named first, in plain words.
When you ask for a report, expect a report and nothing else. No copying, no moving, no deleting.
Requests to look into something get carried out as instructions far more often than anyone expects. Look does not mean do, and the gap between the two can be a whole folder.
Don't leave the boundary implied. Say read-only out loud, and say stop once the report is written.
Never agree to delete work you paid for with money or time. Archive it and keep the door open.
Deleting keeps nothing and closes off whatever that work might still become. Judging it harshly and storing it anyway costs one folder.
Don't accept an offer to clear something out because nothing is using it. Unused is not worthless, and the reach for delete is itself the warning.
Try these — asking for the right thing
No score, and nothing to finish. Every wrong answer opens with why the wrong idea was tempting.
E. Done is a claim, not a fact
Done is a sentence, and a sentence costs nothing to produce. Whether the work happened is a separate question, and nobody asked it.
The script ran without errors. The output file has four rows in it where the source had nine hundred. Both statements are true at the same moment, and only one of them got reported.
Seven habits, all the same move: replace a claim with a number you can look at. Count the rows. Fetch the live page. Ask which tool actually ran.
Count what came out, check the size, and hold it against what went in. Finishing without an error is not the same as being right.
A job can complete cleanly and produce an empty file, because an exit code reports whether the program ended and never whether the work is any good.
Don't accept ran successfully as a result. Ask what the result was, in numbers.
Ban the soft words. Should be fine, likely fixed and seems to work all go straight back.
Every one of those means nothing was checked. Hedging is how an unverified claim gets to sound like a finished one.
Don't let a hedge stand because the work probably is fine. Probably is the exact thing you cannot act on.
Treat I could not check this as a good answer, and a false done as a serious one.
Admitting the gap costs a minute. A completion that turns out to be imaginary costs a day, and every report after it has to be read twice.
Don't press for a yes when the honest answer is unverified. Pressure buys you the word, never the fact.
Ask which tool actually ran whenever something claims to have looked at a page. A model has no eyes without one.
Verified visually and looks right in the browser are sentences, not observations. With no browser tool nothing was seen, and the claim was assembled from the code.
Don't accept a screenshot described but never shown. A description of an image is not an image.
Look at pictures yourself. A model reads a drawing as a list of coordinates, never as an image.
Asked to describe artwork from its source, a model can call a drawing of a book a server rack, and say so with complete confidence. Nothing in the code carries what the picture looks like.
Don't ask for a quality judgement on anything visual. An answer will arrive, and the answer will be invented.
Restart the server after every change on the server side, before testing anything.
Code on disk means nothing until the running process loads it. Without a restart you are testing the old version and chasing a bug that was fixed ten minutes ago.
Don't debug across a restart you did not do. Hours go into a problem that no longer exists.
Fetching the live page and searching for a sentence you added helps confirm the file you edited is the one being served, which matters when edits do not show up as expected.
A whole session of edits can land in a path that nothing is serving, so everything looks right on disk and nothing at all changes on screen. The cause is a server pointed at the wrong folder.
Don't diagnose a missing change as a caching problem before checking which file is live. Wrong file is far commoner than wrong cache.
Try these — done is a claim, not a fact
No score, and nothing to finish. Every wrong answer opens with why the wrong idea was tempting.
F. How to talk to an AI tool
How you talk to it sets what comes back, including how honestly it describes its own mistakes.
I may have been slightly optimistic in my sequencing means it made a number up. Softened once, the same failure returns next week wearing the same soft words.
Five habits close the day. Talk before building, ignore invented numbers, and keep the decisions about your own time where they belong.
Say talk first, build after, and hold that line until you have agreed a plain description of what will be made.
Left to guess, a tool will build the same thing four or five times over before anybody says stop, and each rebuild feels like progress from the inside.
Don't let a question be answered with a file. An answer in prose can be corrected in a sentence; a file has to be argued with.
Ignore any estimate of time you did not ask for. Ask instead what is included, what is reused, and what is genuinely new.
A made-up duration is wrong in both directions by enormous margins, and gets read as a promise anyway. Scope is the real question underneath, and scope can be checked.
Don't plan around a made-up hour. Planning around one is easy, and the number becomes a real deadline the point you repeat it to somebody else.
Refuse invented risks and numbers with nothing behind them. No remaining risk is a legitimate answer.
Might use one or two gigabytes, with no measurement under it, is noise that buries the single real concern inside a list of imaginary ones.
Don't ask for risks as a formality. A padded list trains you to skim, and skimming is how the real one gets past you.
Make it name its own mistake accurately, in the word a person would use.
I volunteered an estimate means it made a number up. Gentle self-description turns a real failure into something that sounds routine, and the same failure comes back next week.
Don't accept a soft phrase for a hard event. Drifted, adjusted and got ahead of myself are all doing the same job.
Ignore anything it says about pacing your day. When to stop is not its call.
A model cannot see the deadline, the meeting, or the thing waiting behind this piece of work. A suggestion to rest arrives with none of the information that would make it a suggestion.
A pause after a failure may look like the tool is thinking, but actually, the point work goes wrong is when you must decide what happens next, not the tool.
Try these — how to talk to an ai tool
No score, and nothing to finish. Every wrong answer opens with why the wrong idea was tempting.
The questions people still ask
Why does my AI keep forgetting what I told it ten messages ago?
AI tools usually remember only a limited number of messages in a conversation. When you go past that, earlier details drop out. If you need it to remember something, repeat key points or start a new conversation so nothing gets missed.
How do I stop my AI from making up answers when it does not know something?
AI tools often fill in gaps instead of saying 'I do not know.' If precision matters, ask for sources or say, 'If you are unsure, tell me.' That way, you can spot guesses before they cause trouble.
What should I do if my AI tool starts running a task that takes way longer than I expected?
- Pause the task if possible, or stop it safely.
- Check the original request for mistakes or missing limits.
- Add a clear time or item limit to your next try.
- Ask the tool to report progress every few minutes.
How can I make sure my AI does not send private files to the wrong person?
- Check file names and paths before you upload or share.
- Remove details you do not want to share from the file.
- Ask the tool to confirm the recipient before sending.
- Keep work and personal files in separate folders.
How do I check if my AI tool is using too much of my team's budget?
- Set a daily or weekly cost limit with the tool.
- Review the tool's usage or billing page regularly.
- Ask for a cost estimate before each large task.
- Check with your finance or admin team if costs spike.
Why does my AI sometimes skip steps or miss tasks in my list?
AI tools can miss tasks if your instructions are unclear or too long. Count the items in your request and compare with the plan it returns. If something is missing, break your request into smaller parts.
How do I get my AI to use the correct spelling and grammar for British English?
Tell your AI tool to use British English spelling and grammar at the start of your request. For example, write, 'Please use British English spelling and grammar in all replies.'
What is the safest way to share a file with my AI tool without losing my original?
- Make a copy of your file with a new name, like 'Copy of StaffList.xlsx'.
- Upload or share the copy, not the original.
- Check the file after the task to make sure nothing changed.
- Keep the original in a safe folder.
How do AI tools handle files with special characters or non-English text?
AI tools can misread special characters or non-English text, especially in file names or content. Save files in a standard format like .txt or .csv, and use plain letters in file names to avoid errors.
What are the main differences between a chat AI and a file-processing AI on my first week?
| Type | Chat AI | File-processing AI |
|---|---|---|
| Main use | Conversations, quick answers | Handling files, data tasks |
| Input | Typed text | Uploaded files, folders |
| Output | Text replies | Changed files, reports |
| Common risk | Misunderstood questions | Lost or changed files |
How can I tell if my AI tool is about to overwrite my file called Q1_report.xlsx?
AI tools often warn before overwriting files, but not always. Before running a command or upload, check for any mention of Q1_report.xlsx in the summary or confirmation step. If the tool lists file changes, look for your file name. When in doubt, rename your file or move it elsewhere first.
What should I do if my AI tool asks me for my password to access a shared folder?
AI tools should never ask for your password directly. If prompted, stop and double-check the request with your IT helpdesk or manager. Use approved company sign-in methods only. Sharing your password, even with an AI tool, can put your files and account at risk.
How do I check which files my AI tool has read or changed in my project folder?
- Open the activity or history log in your AI tool, if available.
- Look for entries listing file names and actions, such as read, write, or delete.
- Compare the log with your project folder to spot any files you did not expect to change.
- If no log is available, check file timestamps in your folder for recent changes.
What is the best way to ask my AI tool to summarise a 30-page PDF without missing key sections?
- Mention the file name, such as Meeting_Notes_March.pdf, in your request.
- Ask for a section-by-section summary, not a single paragraph.
- Request a table of contents first, then summaries for each section.
- Check the summary against the original to make sure nothing important is missing.
How do I stop my AI tool from running up costs when I upload a large folder of images?
- Check the estimated cost before confirming the upload.
- Upload a small batch, such as 10 images, and review the result.
- Set a spending limit in the tool's settings if possible.
- Ask your manager for a daily or weekly budget cap.
How can I tell if my AI tool is using an old version of my file called Sales2023.csv?
AI tools sometimes cache files or use older copies. Check the file path and timestamp shown in the tool. If you see an earlier date or a different folder, update the file and re-upload. Confirm with a sample question based on recent data from Sales2023.csv before trusting the output.
What should I do if my AI tool refuses to process a file called Budget.xlsx because of its size?
- Split Budget.xlsx into smaller files, such as by month or quarter.
- Upload one smaller file at a time and process each separately.
- If splitting is not possible, compress the file and try again.
- Contact your IT support if the file is still too large for the tool.
How do I know if my AI tool is sending my document called ClientList.docx outside my company?
Some AI tools share files with external servers for processing. Review the privacy and data sharing settings. Look for any mention of external storage or third-party processing. If unsure, ask your IT team or manager before uploading ClientList.docx, especially if it contains sensitive information.
What are the signs my AI tool is stuck in a loop when working on my MarketingPlan.pptx file?
- Progress messages keep repeating the same step.
- The tool asks the same question more than once.
- No new output appears after several minutes.
- CPU or memory usage stays high without progress.
How do different AI tools handle file permissions for a shared folder on Teams, SharePoint, and Google Drive?
| Platform | How AI Tools Handle Permissions | What You Need to Check |
|---|---|---|
| Teams | AI tools usually follow Teams folder permissions. Some may need extra approval. | Confirm the AI tool is added as a member or guest. Check with IT if unsure. |
| SharePoint | AI tools use SharePoint's file access rules. Some may prompt for extra login. | Review who has access to the folder and what rights they have. |
| Google Drive | AI tools often need explicit file or folder sharing. Some request a Google login. | Check sharing settings. Remove access when work is done. |
How do I know if my AI tool is about to rename my file called April_Expenses.xlsx without asking me?
AI tools often preview changes before making them. Check the summary or list of planned actions for any mention of April_Expenses.xlsx. If rename or move appears, pause the process. Ask the tool to confirm each file change in advance, especially with important files.
What should I do if my AI tool keeps repeating the same suggestion for my meeting notes.docx?
- Check if your last request was clear and specific.
- Ask the AI tool to stop and summarise what it has done so far.
- Change the way you phrase your request.
- Restart the session if the tool seems stuck.
- Contact support if the problem continues.
How can I tell if my AI tool is using up more computer memory than usual when working on my project folder?
Open your computer’s task manager or activity monitor. Look for the AI tool’s name in the list of running programmes. If its memory use climbs much higher than other apps, pause the task and check if you gave it too large a job.
What steps should I take before letting my AI tool edit my shared file called MarketingList.csv?
- Make a backup copy of MarketingList.csv and save it somewhere safe.
- Check the AI tool’s plan for changes and compare it with your instructions.
- Set permissions so only you and trusted colleagues can see the file.
- Ask the AI tool to confirm every change before saving.
How can I make sure my AI tool does not copy confidential data from my HR_Records.docx into another document?
Review the AI tool’s plan before it starts. Ask for a summary of what will be copied and where. Remove confidential sections from HR_Records.docx before uploading if possible. Never approve a bulk copy without checking the destination and contents.
What are the warning signs my AI tool is about to send an email draft to my manager before I review it?
- You see a message showing ‘sending’ or ‘submitting’ before you approve.
- The AI tool asks for your manager’s email address.
- The summary mentions ‘auto-send’ or ‘auto-forward’.
- You notice a countdown or progress bar for sending.
- No preview or review step appears before sending.
How do I check if my AI tool has left temporary files behind after working on my Presentation.pptx?
- Open the folder where Presentation.pptx is saved.
- Look for files with names like ‘~$Presentation.pptx’ or ending in .tmp.
- Delete any files you do not recognise or need.
- Empty the recycle bin or trash to finish cleanup.
How can I compare what my AI tool planned to do with what it actually did to my Q2_Summary.docx?
| Action | Planned | Actual |
|---|---|---|
| Pages to edit | 1-3, 5 | 1-3, 5, 7 |
| Text changes | Add summary to page 2 | Added summary to page 2 |
| Formatting | Bold all headings | Missed page 3 heading |
| File rename | No | No |
What should I do if my AI tool asks for access to my entire Documents folder when I only want to process Invoice_April.pdf?
Deny the request for full folder access. Choose the option to upload or share only Invoice_April.pdf. Never let an AI tool access more files than needed for your task. If the tool does not offer a choice, stop and contact your IT team.
How can I tell if my AI tool is still working on my file called StaffRoster.xlsx or if it has finished?
Check for a progress bar, status message, or completion notice in the tool’s window. If you see no update after a few minutes, ask the AI tool for a status report. Do not assume the work is done until you see a clear message.
What the rules give back
None of these forty-five rules are about being careful. Every one of them buys the opposite — once the copy is taken and the limit is set, the ambitious version becomes safe to ask for. Most people ask small because they are frightened of the file, and small is what comes back.