Turn a document, recording or rough idea into useful work. Start with practical examples, understand the limits and check the result before relying on it.
Upload a PDF to a tool that supports document analysis, ask for a summary with source references, then check the important points against the original.
Tell the assistant what you need rather than simply saying “summarise this”. For a public project report, try: “Give me five main findings, the stated limitations and the pages supporting each point. Say when the document does not provide an answer.” That gives you a focused brief and a way to inspect the result.
Adobe Acrobat, for example, can generate summaries with links back to sections of the PDF. Other tools have different file, page and plan limits. Check whether the file was actually processed, particularly with long documents, scanned pages or complex tables. A successful upload does not, by itself, show that every detail was read correctly.
Open the cited passages and compare numbers, dates and exceptions with the summary. If a figure matters, check the table itself. Use the summary to find your way through the document, rather than silently replacing it. For private files, review the product’s data policy before uploading. A shorter document is helpful; a shorter version with the wrong conclusion is less of a bargain.
Use a speech-to-text tool, upload or record the audio, select the appropriate language where available, then correct the transcript while listening to the recording.
Choose a service that supports your file format, language and recording length. Microsoft Word’s Transcribe feature, for example, accepts recorded or uploaded speech and lets you revisit timestamped audio and edit the text. Availability and allowances depend on the product and account, so check those before committing a long recording.
For a first test, use a short recording with clear speech. Ask for a transcript before asking for meeting notes: a transcript records the words, while a summary selects and interprets them. If speakers are labelled automatically, check that their identities stay consistent. Two people interrupting each other can make that job considerably harder.
Listen again around names, technical terms, dates and numbers, and mark anything you cannot confidently hear. Do not let the tool turn an unclear phrase into a confident quotation. Before recording other people or uploading their voices, obtain the permission required for your situation and check where the audio is stored. Keep the original until you have finished checking the text.
AI can produce useful translations, but accuracy varies with the languages, subject and context, so fluent wording should not be treated as proof that the meaning is correct.
The European Commission explicitly warns that machine-translation quality can vary between texts and language pairs. That is an important distinction: understanding the general point of a product review is different from relying on the exact wording of a contract, medical instruction or official document. Use a suitably qualified translator when an error could have serious consequences.
Give the tool useful context: the intended audience, the subject and any terms that must stay consistent. For a restaurant menu, explain whether you want a literal description or natural wording for visitors. Keep product names, measurements and required terminology clear. Ask it to flag ambiguous phrases instead of quietly choosing a meaning.
Review the result with someone who understands both languages and the topic when accuracy matters. Check names, negatives, numbers, dates and omitted sentences. Translating the result back can expose some problems, but it does not prove the first translation is correct. For everyday use, AI can help you get started quickly; for publication, decide how much checking the specific text deserves.
Use AI for short conversations, vocabulary practice and explanations at your level, then combine that practice with reliable learning materials and real human interaction.
Choose a situation you actually expect to face. For example: “Practise ordering breakfast with me in Spanish. I am a beginner. Ask one question at a time, then explain my biggest mistake in English.” A small, repeatable exercise gives you something to improve, rather than an impressive wall of unfamiliar grammar.
Some learning services offer structured AI speaking activities. The British Council, for example, uses AI practice alongside teacher-led English lessons, with feedback on language use. In a general assistant, check whether text, voice and pronunciation feedback are actually supported. Being able to chat about a language is different from reliably assessing how you pronounce it.
Keep a short list of corrections and use the same words in a fresh conversation later. Check uncertain explanations against a trusted dictionary, course or teacher; AI feedback can be mistaken. Make room for listening to real speakers and talking to people too. The assistant is useful because it is available for another practice round, even when you have already ordered the imaginary breakfast six times.
Use an assistant to explain or suggest formulas, organise data and explore patterns, then verify its changes against a small example you can calculate yourself.
Built-in assistants offer different capabilities. Copilot in Excel can help with formulas, summaries and data insights; Gemini in Google Sheets can create formulas, tables and charts. Access depends on your plan, account and supported features. You can also ask a separate assistant about an anonymised example, without giving it your whole workbook.
Name the columns and state the intended calculation. For example: “Column B contains quantity and C contains unit price. Suggest a formula for revenue in D2, and explain what happens if either cell is blank.” Test it on two ordinary rows and one awkward case before filling the entire column. Check whether your spreadsheet uses different formula separators or date formats.
Work on a copy when asking an assistant to edit a real file. Compare totals, inspect a few individual rows and check any references to other sheets. A convincing chart can still describe the wrong range. Include the time spent checking when judging whether the tool helped, especially if the workbook influences payments, stock levels or business decisions.
Yes, presentation tools can turn a prompt or source document into a slide deck, but you should review the story, facts and layout before presenting it.
Copilot in PowerPoint, for example, can create a presentation from your instructions and supported source content. Its availability depends on the account and subscription. Other slide generators have their own editing and export options, so check that you can download and revise the format you need rather than only view a preview.
Give it a brief with an audience, a purpose and a rough length. Try: “Create six slides for a small café team explaining our new booking process. Use only these notes, finish with the three actions staff need to take, and flag missing information.” Approve the outline before spending time polishing images and transitions.
Check every figure, quotation and source. Then inspect the actual slides: titles that wrap badly, tiny text and crowded diagrams are easy to miss in an outline. Read the deck aloud to see whether one point leads to the next. AI can help you escape the blank-slide stage; it cannot decide for you what your audience needs to understand or do.
Give AI the facts, recipient, purpose and tone of your email, then edit the draft so it says exactly what you mean before you send it.
Start with rough notes instead of asking it to invent the situation. For example: “Write a friendly email to a supplier asking whether order 123 can arrive by Friday. Keep it under 100 words. Do not promise extra payment.” That gives the assistant a clear job and keeps the important boundary visible.
Email assistants such as Copilot in Outlook can draft messages and adjust their tone or length. A general writing assistant can also help with a non-sensitive draft. Choose the tool approved for the information involved, and check which conversation or documents it can access. More context is useful only when you are allowed to share it.
Before sending, verify the recipient, dates, attachments and any commitments the draft makes. Remove phrases you would never say yourself, and make the next step obvious. If an email needs a simple answer, let it stay simple. Your colleague probably does not need three paragraphs explaining that you have successfully attached the attachment. The aim is clearer communication, not a longer message wearing a smarter jacket.
Open each important citation, find the passage behind the claim and check whether the source actually supports what the AI said.
Start with the claims that would change your decision: a price, a product limitation, a research finding or a deadline. Check the author or organisation, publication date and original context. Prefer the official documentation, underlying study or original announcement where possible. A real link can still point to the wrong page or an outdated version.
Do not assume a citation means the assistant used that source correctly. Google’s Gemini guidance describes links to sources and related content as a way to investigate further. Related material is not necessarily evidence for the exact claim in front of you. Find the supporting passage and compare its wording with the answer, rather than treating the presence of a link as a certificate of accuracy.
For a concrete check, compare a quoted plan price with the provider’s current pricing page, including billing period and region. For a study, check whether the result applies to the people and conditions being discussed. If you cannot find support, mark the claim unverified or leave it out. Asking the same assistant whether it is sure is not an independent check.
AI can help build and deploy working websites and apps, but a complete, dependable product still needs clear requirements, testing and ongoing maintenance.
Tools such as v0 can generate interfaces, connect backend services and support deployment. Coding assistants can also modify an existing project. How far a tool gets depends on the task and its access to the right services. A simple information site and an application handling accounts, payments and private records have very different requirements.
Start with one useful workflow. For a booking app, describe who can book, which times are available and what happens if two people request the same slot. Test the ordinary path and the awkward cases before adding more features. Seeing a polished booking screen does not establish that the booking was saved or that access controls work.
Before release, review security, data handling, accessibility, mobile behaviour and the services that incur charges. Keep credentials out of public code and have a way to recover a previous working version. After release, check errors and maintain dependencies. AI can do a substantial amount of the implementation; the finished product is the working behaviour you have verified, rather than the amount of code it generated.
Start with a narrow set of routine questions, connect approved and current information, and give customers a clear way to reach a person when automation cannot help.
Choose a useful first scope, such as explaining delivery options from your published policy. Tools such as Copilot Studio can generate answers from selected knowledge sources and integrate with human-support systems. Those sources and connections need configuration; a chatbot does not automatically know your business or have permission to inspect a customer’s order.
Test it with real question types using non-sensitive examples. Include missing information, conflicting policies and a request to speak to a person. Microsoft’s documentation warns that generative answers can contain mistakes, so check the answer against the source rather than judging only how friendly it sounds. Keep policy owners responsible for updates.
Separate explaining a policy from taking an action. Looking up an order, changing an address or issuing a refund requires appropriate identity checks, permissions and controls. Track successful resolutions, handoffs and corrections, alongside cost and response time. Start small enough that you can review failures and improve them. A fast answer only counts as useful support when it helps resolve the customer’s actual problem.