Double

Double proposes openings and explains each match in plain language, pointing to the parts of your background that line up with the posting. You can dismiss a suggestion and the next batch leans away from that kind of role. The reasoning matters more than the volume, because it lets you judge whether the agent understood your goal.

Each role arrives with a brief on the employer: what it sells, who it serves and what it has said publicly. That saves the twenty minutes most people spend opening six tabs before writing a cover letter. It also gives you material for the interview stage, when vague enthusiasm stops working.

The agent produces a tailored resume per role, reordering experience and rewriting bullet points around the language in the job description. It works from the facts you supply rather than inventing achievements, so the output stays defensible in an interview. You can edit any line before it ships.

The cover letter generator drafts a short letter that references the company and the specific role, not a template with the name swapped in. Drafts tend to be plain and direct, which suits most hiring managers better than enthusiasm. Expect to add one personal detail that only you know.

Double fills employer application forms, including work history, education and standard screening questions. This is the slowest part of applying and the part most job search tools ignore. Some portals still throw up custom questions, and those are where you will spend your remaining time.

Nothing goes to an employer until you approve it. Every application waits in a queue with its documents attached, so you can read the resume, check the letter and reject anything that misrepresents you. The gate is the feature that makes an AI job application agent usable rather than risky.

Sent applications, drafts and rejected matches sit in the same view, with the version of each document that went out. When a recruiter calls about a role you applied to three weeks ago, you can pull up exactly what they read.