A personal AI LinkedIn studio — memory, voice, and a research-to-post workflow

Role: Founder / product builder
Timeline: 2026
Engagement: Founder product

Challenge

Generic LinkedIn tools write like everyone else. This studio had to remember voice rules, source material, and what actually worked — not another prompt box.

Approach

01
Built a full product surface first: dashboard, post editor with live LinkedIn preview, ideas, calendar, knowledge base, memory, analytics, and voice profile.
02
Made memory the core — preferences, style, feedback, and topics persist across sessions, so the next draft already knows the rules.
03
Connected research to post: scored ideas from source material, draft, preview, schedule, then read performance back into the studio.
04
Wrote a landing page as the product’s own conversion path, not a separate moodboard.

Outcome

A studio you can open

The product is live in the portfolio — dashboard through analytics — not a deck of screens.

Voice as a system

Writing rules, beliefs, and source material sit in memory and the knowledge base, not in a one-off prompt.

A pattern that can extend

The same studio grammar can serve Growing With Kid, Bolo Buddy, and client tools without becoming a generic content mill.

Frames

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