Case study · Content strategy and AI workflow
Consistent, on-brand content took hours per post, and generic AI did not sound like the brand. I led the design and AI-assisted engineering of a studio that learns a brand’s voice from its best posts, researches, plans campaigns and benchmarks competitors.
Every post arrives with a headline, body, hashtags and a first comment, written from the brand's best-performing posts and its content blueprint.
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The brief
Consistent, on-brand social content takes hours per post, and generic AI writing does not sound like the brand. Competitive research was manual and rarely happened.
A content studio grounded in the brand's best-performing posts and a written brand blueprint. It drafts, researches, benchmarks competitors, plans campaigns and publishes or schedules to Facebook pages.
How I approached it
Generic AI writing loses the brand, and research and benchmarking rarely happen.
Grounded every draft in the brand’s best-performing posts and a written brand blueprint.
Value-to-sell mix, hooks, formats and channel rules the studio follows.
Write, research, benchmark, plan and publish, in one place with version history.
A calm, premium workspace built for daily use.
Delivered through AI-assisted engineering, from the voice system to publishing.
Signature feature
Post Forge sets the value-to-sell mix first, then fills the week. Choose a goal and slide the mix.
Illustrative plan. The app writes every post in the brand’s own voice.
My role
I defined the problem, architected the workflow and the brand voice system, authored the content strategy rules it runs on, led the UX and UI design and delivered the studio through AI-assisted engineering.
Skills demonstrated
