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The Golf
Project.

An applied-AI experiment in building a character-led golf media brand. The system learns from audience response, while a human remains responsible for the story.

The question

Can AI help a media property become more relevant without becoming less itself?

The Golf Project uses AI to develop, package and evaluate short-form golf stories. It is designed as a learning loop, not a content factory: every creative choice is measured against audience response, golf authenticity and an editorial standard.

The learning loop

  1. 01

    Tell a story

    Create a distinct golf beat with recurring characters, clear stakes and a reason to return.

  2. 02

    Review before publishing

    A person reviews the exact video, caption, account and post setting before one official upload is authorised.

  3. 03

    Read the response

    Analyse real signals: watch behaviour, likes, comments, saves, follows and the quality of audience conversation.

  4. 04

    Adapt with judgement

    Recommend the next hook, story beat or format change. Human editorial review decides what moves forward.

What stays human

AI is the operating partner, not the editor-in-chief.

The system can identify patterns, propose concepts, preserve continuity and make practical recommendations. It cannot silently change the brand, publish without approval or trade long-term trust for short-term engagement.

The Golf Project remains SFW, golf-led and character-led. Performance is useful evidence, not permission to drift into sexualised bait, generic glamour or content that does not belong in the story.

A Whiteside Consulting project

AI with taste, accountability and a reason to learn.

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