Make your next application count.

1. Read for the actual job.

Separate required experience from preferences. Check location, working arrangements, travel and the scope of responsibility. An AI company hires many kinds of professionals; the company name does not tell you what the work will be.

2. Build an evidence map.

For each important requirement, name one real example: what you did, what you owned, the result, and what you learned. Mark a gap as a gap. Do not turn exposure to a tool into a claim of production experience.

3. Tailor with facts.

Use the employer’s wording when it accurately describes your work. Keep your résumé readable. A short cover letter can connect your experience to a specific problem in the role. Check every claim, date and number before submitting.

4. Prepare to explain your decisions.

Practice a concise account of a relevant project: the problem, alternatives, your contribution, a difficult tradeoff and the outcome. Be ready to explain a failure and what you changed.

Use AI as an editor.

Paste a job description and a fact-checked summary of your experience into the AI tool you already use. Remove private employer and client information first.

Compare this job description with my experience. List the main requirements, the evidence I can provide, and the gaps. Do not invent experience, skills or results. Ask questions where evidence is missing. Then suggest honest résumé edits and five interview questions tied to the role.

This workflow is inspired by the open-source AI Job Search project. No automated applications or fit guarantees.

Keep your search organized.

Save roles on this board. Keep a private record of applications, deadlines and follow-ups. Apply on the employer’s own page and verify the destination before sharing personal information.