Most marketing teams are running AI on generic settings — and the latest research suggests that may be the core problem. A new experiment finds that giving an AI tool a profile of the person it's working with produced measurably more creative and higher-quality marketing campaigns than using a generic AI setup. A second paper proposes a new framework for guiding how AI reasons through expert work — compelling in theory, but not yet tested in practice.

In this Research Radar Brief, Dr. Eva Wolf reviews 2 recent AI marketing research papers covering personalized AI collaboration, human-AI creative synergy, and expert-guided AI reasoning frameworks.

What you'll learn:

- Why a personalized AI collaborator outperformed a generic one in a controlled experiment — and the three mechanisms that explain the gap

- How human-plus-personalized-AI teams achieved a synergy effect that beat AI working alone — a result rarer than most assume

- What Knowledge Protocol Engineering proposes as a step beyond RAG-based AI — and why it has not yet been validated

- How to start loading your AI tools with collaborator context today, before any platform natively supports it

Papers covered:

1. Personalized AI Scaffolds Synergistic Multi-Turn Collaboration in Creative Work

- Authors: Sean Kelley, David De Cremer, Christoph Riedl (2025)

- Type: Preprint (not yet peer-reviewed)

- Access: Full text reviewed

- Source: https://arxiv.org/abs/2510.27681v2

2. Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work

- Authors: Guangwei Zhang (2025)

- Type: Preprint (not yet peer-reviewed)

- Access: Full text reviewed

- Source: https://arxiv.org/abs/2507.02760v1

Full show notes, transcript, and citations: https://bigplans.media/episodes/personalized-ai-creative-work-knowledge-protocols-marketing-2026-06-17

Disclaimer: This is a first-pass research briefing, not a final academic review. Both papers covered are preprints that have not yet been peer-reviewed — findings may change before publication. Dr. Eva Wolf summarizes what the research suggests and where the evidence is limited. Nothing here should be taken as a definitive research conclusion.

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This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions.

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