Stand out when everyone uses AI

01What remains scarce when generation gets cheap?#

Context, taste, accountability, and trust remain scarce. AI can produce many options, but it cannot decide what your audience needs, verify the organizational context, or own the consequence of publishing. The person who sets a clear standard and edits toward it contributes more than the person who generates the most.

02How do you build taste rather than claim it?#

Taste improves through comparison and explanation. Collect a small set of excellent examples, identify the decisions that make them work, compare strong and weak versions, and edit your own work against a written rubric. The explanation matters because preference without a reason is difficult to improve.

1. Collect

   Save ten examples of work you consider unusually effective.

2. Annotate

   Name the choice each example makes about structure, detail, tone, or restraint.

3. Compare

   Put two versions side by side and explain which better serves the audience.

4. Edit

   Apply the same criteria to your own draft and remove what does not earn its place.

5. Review

   Ask a skilled person where your explanation and the result diverge.

03How should you use AI without producing generic work?#

Give the system source material only you can assemble, ask it to expose alternatives and weaknesses, and keep the final selection human. Generic output usually starts with generic context. Specific observations, customer language, decisions, and constraints create work that cannot be reproduced from the topic alone.

• Begin with your notes, interviews, data, or direct experience
• State what the audience already knows and what they still need
• Ask for opposing structures, not ten cosmetic rewrites
• Require claims to trace back to a source or observation
• Write the final opening and conclusion after the argument is clear

04How do you make your contribution legible?#

Show the decision process at the level appropriate for the setting. Name the problem, your role, the alternatives considered, the judgment you applied, and the result. Do not hide AI assistance, and do not describe the tool as the author of choices you made or as proof of work it actually completed.

05What weekly practice makes a visible difference?#

Publish or share one small piece of finished work, then study the response and revise your standard. Alternate between making, comparing, and critiquing. A weekly loop creates more discernment than consuming a daily stream of tool announcements because it forces you to make and defend choices.

The goal is not to be visibly busy. Keep fewer, stronger examples and remove work that no longer represents your standard.

Questions people ask#

Is personal branding the same as standing out?

No. Branding can make your work easier to recognize, but it cannot substitute for useful work, a clear point of view, and evidence that you can deliver.

Should I disclose AI use?

Follow the rules of the setting and disclose material assistance when it affects how the work should be evaluated. Be precise about what the tool did and what you owned.

What if my work cannot be public?

Create de-identified case studies, synthetic demonstrations, or private walkthroughs with permission. You can show your reasoning without exposing the underlying material.

How many examples do I need?

Three strong, relevant examples are more useful than a large archive. Each should be understandable quickly and show a different dimension of your judgment.

Sources#

1. 01
   LinkedIn Skill Assessments

   LinkedIn

   LinkedIn says it retired standalone skill assessments after hearing that applied examples were increasingly valuable to hirers.

2. 02
   Add sections to your profile

   LinkedIn

   Official options for showing projects, publications, recommendations, coursework, and other evidence on a professional profile.

3. 03
   Using your GitHub profile to enhance your resume

   GitHub

   Official guidance to highlight a small, relevant set of projects and make the work easy to evaluate quickly.