Brand blueprint
Capture inputs that shape voice, audience, positioning, and strategic context.
Case study
A branded platform that turns Sandy Lee's content strategy into a self-serve software product for creators and founders.

Client context
Sandy Lee had an audience around AI-assisted personal branding and content strategy, including her public Sandy Lee AI YouTube channel. The opportunity was not just another marketing site. It was a product that could take the method behind her content work and make it usable inside a paid, branded experience.
The platform needed to help creators and founders move from positioning and research to publishable content without depending on a scattered mix of prompts, documents, and generic tools.
What was built
Particular Systems helped build the software layer behind Slee Studio: account access, customer onboarding, product flows, AI-assisted generation, research support, content workflow, and the public-facing platform experience.
Capture inputs that shape voice, audience, positioning, and strategic context.
Help users turn topics, channels, and market observations into useful content direction.
Move from idea and positioning into draftable LinkedIn and personal-brand outputs.
Product decisions
The important design question was how much structure to put around AI. Too little structure would feel like a prompt box. Too much structure would slow creators down. The platform therefore centers on guided inputs, reusable context, and clear outputs that support a repeatable content workflow.
The product also needed to preserve the credibility of the creator's brand. That meant the interface, onboarding language, and product sequence had to feel like a thoughtful studio product rather than a quick automation layer.
Live result
Slee Studio is live at sleestudio.com. Customers can use the product under Sandy Lee's own brand, with the core customer experience owned by the creator rather than split across disconnected tools.
Particular Systems uses this case as proof of a focused creator-platform pattern: translate an expert method into a paid software product with onboarding, workflow, AI assistance, and brand control.
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