AI Content Pipeline

A content team made of code.

Wisenode.io needed daily crypto education content across social platforms and email, without hiring a content team. So I built one out of software.

Client

Wisenode.io, Crypto Education Brand

Engagement

Autonomous pipeline build

Stack

Python, Claude API, Buffer, GitHub Actions

The problem.

The brand needed to publish consistent, timely crypto content every single day across X, Facebook, and email. Manual creation was slow, inconsistent with their strict brand SOP, and dependent on someone showing up every morning.

Crypto moves fast. Content about old news is worthless. The system needed to ingest live headlines and turn them into on-brand content within hours, every day, unattended.

What I built.

RSS ingestion layer pulling live headlines from 6 crypto news sources daily
Claude API integration generating platform-specific posts following a detailed brand SOP: beginner-friendly framing, JUST IN format, Chain/Protocol/Type headers
Buffer API integration scheduling posts automatically to X and Facebook
Email delivery system distributing long-form articles via SMTP
Scheduled cron job running the full pipeline at 6am UTC every morning
Content rotation logic across 5 content pillars to prevent repetition
Article days and update days alternating on a weekly schedule

The stack.

Python Claude API Buffer API GitHub Actions RSS SMTP

Open source.

The architecture for this pipeline is public. View the repository on GitHub →

The result.

A fully autonomous marketing agent producing and distributing daily content across multiple platforms with zero human involvement after setup. The brand publishes every day whether anyone is awake or not.