AI job-search tips · Career Note

Build evidence-based experience from work emails

Turn email clues into verifiable responsibilities, actions, and outcomes.

Steps

Pick emails about your own work and keep the date, subject, and message ID; hide unrelated personal details first.
Separate what was requested, what you actually did, and the results that could be observed later.
Have AI list the evidence and gaps, then write work or project experience only after checking.

Details

An email proves only what it actually says. Receiving a task brief shows that the task was requested; your reply with a plan supports “proposed a plan”; completion dates, impact, and numbers still need later records to back them up.

Record the email date and subject or message ID, and check the project, your own actions, and the later results. Keep the employer, the client, the team, and your own work apart. Before pasting, you can remove unrelated names, addresses, phone numbers, and account details.

Try asking AI

Using the work emails and current résumé I provide, organize verifiable work experience. For each email, first extract the date, project background, the sender’s and my roles, what I personally did, and any observable result, citing the subject or message ID as the source. Do not present other people’s work, team results, or client requests as my personal contribution; mark any responsibility, technology, number, or employment period the emails do not prove as “to confirm”. Show me the fact table and follow-up questions first; after I check them, draft concise work and project experience. If Career Note MCP is connected, read career_get_experience_generation_guide first and read my résumé as needed; call career_save_resume_entry only when I explicitly ask to save, then read it back to check. Do not send emails or change application status.