BLYNSTUDIO
Marketing

Social media

A content system that turns one piece of source material into a week of posts across the channels you actually use.

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Social queue · 4 scheduledLive
@blynstudioTue · 09:00
Most AI projects don't fail at the model. They fail at the unglamorous integration work nobody wants to own.
@blynstudioThu · 14:00
A short thread on what to ship before your first AI feature — and what to keep human…
What this is

I build the pipeline that takes your podcast, video, or long-form post and produces social variants in your voice — not a generic AI ghostwriter. You approve drafts; the system handles formatting, scheduling, and analytics.

Most AI projects don't fail at the model. They fail at the unglamorous integration work nobody wants to own. Here's what to fix first ↓
Sample output
What's included
  • Source-to-variants pipeline (clip → thread → post → carousel)
  • Voice tuning so drafts sound like you, not like ChatGPT
  • Scheduling integration (Buffer, Typefully, or native APIs)
  • Cross-platform analytics in one view
  • Approval queue so nothing goes out unreviewed
A good fit?
Yes, if

Founders or marketing teams making one substantial piece of content per week and missing the distribution.

Ideal for
No, if

Teams with no source material — I won't build something that generates content from nothing.

Not ideal for
How a project runs
01 · Phase 01

Audit & scope

We start with a conversation about what you actually do day-to-day. I map the workflows, identify what's worth automating and what isn't, and write up a scoped proposal with a fixed price.

02 · Phase 02

Design

Architecture, data flow, integration points. You see the full system on paper before I touch any code — so we catch the wrong call cheaply, not after it's built.

03 · Phase 03

Build

I build, iterate, and test against real data from your business. You see progress weekly in a shared environment, not as a single reveal at the end.

04 · Phase 04

Deploy & handoff

We launch together. I document everything in your tools (Notion, your repo, wherever you keep things), and I stay on call for the first few weeks while your team gets comfortable.

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