In a recent LinkedIn post, Kieran Flanagan discusses the critical need for marketers to prioritize building a “personal intelligence layer” to enhance their effectiveness and stand out in an increasingly commoditized landscape. Flanagan argues that as raw data becomes more accessible and less distinguishing, the unique value lies in learned experiences and how they are captured and utilized.
Flanagan emphasizes that this layer is not an abstract concept but a practical system that can be built quickly. He suggests that the starter version involves consolidating all existing marketing experiences, from demand generation to SEO, into a structured format. This process begins with gathering relevant documents detailing past work and experiments.
The Core Components of a Personal Intelligence Layer
According to Kieran Flanagan, the foundational elements of this personal intelligence layer include:
- A staging folder to initially collect all relevant documents and experiences.
- A “skill” designed to parse these documents for specific, valuable intelligence. Flanagan uses examples like frameworks that proved successful, hiring insights, key metrics, attribution models, and the outcomes of experiments.
- A crucial confidentiality filter within this skill to strip company-specific data while retaining transferable knowledge and learnings.
Flanagan explains the implementation process: “You then store locally and/or in Google Drive and load each time you want to work with your AI of choice: Claude, ChatGPT, Gemini. Your intelligence now travels with you, enhancing your results.” This approach ensures that an individual’s accumulated wisdom is readily accessible and portable, augmenting the capabilities of any AI assistant.
Cultivating Compounding Insights
A key aspect of Flanagan’s strategy is the ongoing nature of building this intelligence layer. He advises that it’s not a one-time setup but a continuous ritual. “The run the skill command continually; it’s not a one-off. It’s part of your ritual: each time you acquire new insights, you enrich your intelligence layer, compounding it,” he states.
This continuous enrichment is presented as the driver for significant improvements in marketing outcomes. Flanagan highlights the potential for compounding value over time, making the marketer more effective and their insights more profound.
Integrating External Learnings
Beyond internal experiences, Kieran Flanagan points out the system’s flexibility in incorporating external information. This includes processing YouTube transcripts, recorded conversations, or newsletters. The system can then extract key learnings from these diverse sources and add them to the personal intelligence layer automatically.
Flanagan has made a “v1 starter pack” available on his Substack, which includes downloadable and free resources such as an intelligence artifact and a skill to build and enrich. He also mentioned covering this topic on MATG for those who prefer video content.
In essence, Kieran Flanagan’s insights on LinkedIn offer a practical framework for marketers to proactively build a personalized knowledge base that leverages AI, ensuring their unique experiences and learnings remain a competitive advantage.
📝 About This Content
This article is based on insights shared by Kieran Flanagan on LinkedIn.
📅 Originally posted on August 14, 2026 | View original post on LinkedIn →