Building a Digital Brain for AI Leverage
Nicholas Coles explains how to build a 'digital brain' to create a defensible SaaS moat in the AI era. Learn to distinguish commodity, personality, and original content, and use AI to remix approved language rather than generate generic slop.
The Shift from Commodity to Personality Content
In the AI era, the value of generic text has collapsed. Nicholas Coles argues that most online content is 'commodity'—attributable to no one and easily replicated by LLMs. To stand out, creators and businesses must shift from producing commodity content to building a 'digital brain': a library of personality-driven stories, opinions, and lessons. This library serves as an 'unmade dataset' that AI cannot access, providing a unique source of truth for content generation.
Defining the SaaS Moat
Contrary to the belief that AI eliminates SaaS moats, Coles posits that a moat exists when a product embodies a specific point of view. Commodity SaaS features are easily copied, but a platform that enforces a specific methodology or worldview creates a barrier to entry. Competitors must constantly interpret and replicate the underlying philosophy, ensuring the original creator remains ahead. This strategic framing transforms content from a marketing tactic into a core product differentiator.
Operationalizing the Digital Brain
The practical application of this strategy involves a clear division of labor: humans think, write, and curate; AI repeats, remixes, and distributes. By crystallizing thoughts into a structured library, users can instruct AI to combine existing 'approved language' into new formats. This approach eliminates the 'AI slop' problem, as the output is grounded in the creator's unique voice and perspective rather than generic training data. The result is scalable, high-affinity content that builds trust and drives customer acquisition.
Strategic Implications for Brands
For businesses, this model suggests a shift in marketing investment. Instead of paying for volume or viral hacks, companies should invest in 'company brains'—deep, long-form content libraries created by subject matter experts. These libraries feed AI-driven distribution channels, allowing brands to maintain a consistent, human-centric voice at scale. The ultimate goal is to move from commodity information to original thinking, where the brand becomes the sole owner of specific associations and insights in the market.
Key insights
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SaaS products gain a moat not through features, but through a distinct point of view or methodology. This forces competitors to interpret the creator's thinking, creating a permanent lag in replication.
Impact: Differentiates products in crowded markets and reduces churn by aligning users with a specific philosophy rather than just utility.
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AI should be used to remix and repeat existing 'approved language' rather than generate new ideas. This preserves the creator's unique voice and prevents the output from feeling like generic 'slop'.
Impact: Increases content consistency and brand authenticity while leveraging AI for scalable distribution across multiple platforms.
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Personal experiences and opinions form an 'unmade dataset' that AI cannot access. This unique data is the primary source of differentiation in an era of infinite generic text.
Impact: Creates a defensible content moat that competitors cannot replicate, even with access to the same AI tools.
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Personality content often outperforms commodity content in terms of audience affinity and distribution. Audiences associate ideas with specific individuals, not just credentials or facts.
Impact: Builds stronger brand loyalty and community engagement by humanizing the brand and creating emotional connections with the audience.
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Writing voice is a bundle of intentional choices including word selection, sentence structure, and rhythm. It is not an innate talent but a design element that can be curated and taught to AI.
Impact: Ensures consistent brand tone across all AI-generated content, maintaining professional credibility and reader trust.
Action items
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Audit your existing content to identify 'approved language'—phrases and stories that resonate with your audience. Compile these into a structured library or 'digital brain'.
Impact: Creates a proprietary dataset for AI to remix, ensuring future content maintains your unique voice and perspective.
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Shift your content creation focus from commodity topics to personality-driven stories. Document your formative experiences, mistakes, and unique viewpoints in detail.
Impact: Builds the 'unmade dataset' that differentiates your brand from AI-generated competitors and increases audience affinity.
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Implement a workflow where you write the core ideas and AI handles the distribution and remixing. Use AI to repurpose long-form content into short-form posts across multiple platforms.
Impact: Scales content output without sacrificing quality or voice, maximizing the leverage of your time and creative effort.
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Define your brand's 'point of view' clearly. Ensure your product or service embodies a specific methodology or philosophy, not just a set of features.
Impact: Creates a defensible moat by making your product the only one that aligns with a specific worldview, reducing competitive pressure.
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Intentionally curate your writing voice by analyzing word choice, sentence length, and rhythm. Create a style guide for AI to follow when generating content.
Impact: Ensures consistency in brand tone and prevents AI outputs from sounding generic or disconnected from your established identity.
Quotes
“I think that SaaS has a moat when you have a point of view.”
“The highest leverage thing you can do is the writing. The robots should do everything else.”
“Your personality content, your library of content is the unmade data set.”