You upload a long report and ask for a summary. The answer covers the introduction and first few chapters, then says little about the final 60 pages. Later, the AI answers one question correctly and contradicts itself on another. The document may be too large or complex for the tool to handle reliably in one … Read more
AI can produce grammatical text quickly. It may still sound generic: the sentences are smooth, the transitions tidy, and the conclusion repeats the article. The result reads well, but it may not sound like something you would write. Give the AI examples of your writing, build a short style guide from them, and edit the … Read more
You ask an AI to keep an answer under 800 words, use short paragraphs, include three examples, avoid jargon, and end with a checklist. It returns 1,300 words, no checklist, and five headings you did not request. Sometimes the AI has missed an instruction. Often the prompt has made it hard to tell which requirements … Read more
You ask an AI to summarize a 25-page report. The answer is clear and much shorter than the original. Then you notice it missed the deadline on page 14, a financial risk, an unresolved decision, and an exception in a footnote. A broad request such as “summarize this” leaves the AI to decide what matters. … Read more
You upload a PDF, ask a question, and get an error. Or the AI says it read the file but misses pages, invents headings, or answers using only the beginning. The problem may be the document itself. PDFs can look alike on screen while containing very different things: one may hold selectable text, while another … Read more
Why AI Invents Sources in the First Place Ask an AI for a statistic and a citation, and it will hand you both — confidently, formatted correctly, with a plausible author and journal name. The problem is that language models don’t retrieve facts from a filing cabinet. They predict what a citation usually looks like … Read more
Most NDAs freelancers sign were drafted before ChatGPT existed, and clients rarely think to update them once AI enters the workflow. That doesn’t mean the agreement stays silent on the question. Standard confidentiality language usually restricts disclosure to any “third party,” and a language model — even a consumer one you’re chatting with for thirty … Read more
Key takeaway: Removing a client’s name is not enough. Before using a document with an AI tool, remove direct identifiers, look for combinations of details that can reveal the person or company indirectly, check hidden information such as comments and metadata, and consider whether the document remains identifiable even after cleaning. You have a long … Read more
Key takeaway: Sometimes you can use a client email with an AI tool, but the safest starting point is not to paste the entire message. First check your agreement with the client, what information the email contains, how your AI account handles data, and whether the task can be completed with less information. A client … Read more