What should I extract from the job post?
Read the whole post before changing your CV. Write down the work the person will do, the tools that matter and the requirements described as essential. Keep preferences separate. A long list of tools is not always the main purpose of a role. Look for the problems the team wants someone to handle.
Turn those needs into a small checklist in plain language. For each need, ask what evidence from your own work could answer it. If you cannot find evidence, mark it as a gap. That gap helps you judge the application honestly. It is not an instruction to add a claim that merely sounds close.
How do I choose which experience to show?
Work from a master CV or a set of notes containing your real history. Keep job titles, employers and dates accurate. Choose the bullets that show the most relevant tasks, decisions or outcomes. Move relevant work higher within its proper role so a reader can find it quickly without changing when it happened.
Include projects or volunteer work when they provide useful evidence. Label them clearly so they cannot be mistaken for paid employment. If you worked with a team, explain your own contribution. Do not borrow the whole team’s result as a personal achievement unless your wording makes the shared work clear.
Can I use the same words as the job description?
Use the employer’s terminology when it accurately names something you did. If you used a tool, give its real name. If your work fits a familiar term, explain it plainly. Avoid copying a responsibility from the post into your CV as though you already performed it.
A nearby skill is not the same skill. Using a spreadsheet does not establish experience with every analytics tool. Reading about a framework does not mean you used it at work. You can mention relevant learning in a separate section with an honest label. That gives the employer useful context without blurring your level of experience.
What makes a bullet believable?
A useful bullet names an action and gives enough context to understand it. Describe what you made, supported, checked or improved. Add an outcome if you know it. If you do not have a measured result, explain the purpose or scope without inventing a quantity. Specific work can be useful evidence without a percentage attached.
Check each sentence against something you can explain in an interview. What was the task? What did you do yourself? How did you know it worked? Remove claims that depend on a guessed number or an inflated title. Keep private customer details out of the document even when they would make a story more vivid.
How should I check an AI draft?
Treat generated wording as a draft that needs checking line by line. Compare employers, dates, tools and responsibilities with your source notes. Look for stronger verbs that change the meaning. “Helped” and “led” describe different contributions. A fluent sentence can still imply ownership you did not have.
Check summaries especially carefully. They can turn a few project details into a broad claim about seniority or expertise. Delete anything you cannot defend. Bao selects your own confirmed CV lines word for word for job-specific versions. Its AI prose drafts are highlighted for checking, but highlighting is not proof that a sentence is true.
What is the final review before I send it?
Read the tailored CV beside the job post. Confirm that the relevant evidence is easy to find and the document still reads naturally. Check contact details, dates, links and the filename. Open the exported file rather than relying only on the editing screen. Save the version you actually submit with the job link.
Then prepare to discuss the choices you made. If you left out unrelated work, keep it in your master notes for later. If the role needs something you lack, decide whether your other evidence makes an application reasonable. An honest CV helps both sides understand that decision. It cannot remove every gap, and it does not need to.