Automate Social Media Campaigns with Production-Grade AI

Small businesses often start with Buffer or Hootsuite for scheduling. These are useful for queuing up posts, but their AI features are limited to generic content suggestions. Using a separate tool like Jasper.ai for content creation breaks the workflow. A marketer managing five clients must copy-paste content from Jasper into Buffer, manually tag it, and then track performance in a separate system like Google Analytics.

Consider a marketing agency with 10 small business clients. They need to create three unique LinkedIn posts per client per week. The current workflow involves brainstorming topics in a spreadsheet, writing drafts in Google Docs, getting client approval via email, then manually scheduling 30 posts in Buffer. The AI writing tools they have tried generate text that sounds robotic and lacks each client's specific tone of voice, forcing the team to spend hours on manual rewrites.

The structural problem is that these SaaS tools are built for mass-market appeal. Their architecture offers a fixed set of features and integrations. You cannot train their AI on your client's past successful content to learn their voice. You cannot connect them to a niche data source, like a specific industry forum, to find relevant topics. The tools' design forces you into their pre-defined workflow, rather than adapting to yours.

The result is a fragmented process held together by copy-pasting and manual work. The agency spends more time on coordination than on strategy. Performance analysis is shallow because the data lives in three different places. They cannot answer a simple question like 'Which content themes generated the most leads last quarter?' without hours of spreadsheet work.

An engagement starts with mapping your entire content lifecycle, from idea generation to performance reporting. Syntora analyzes your existing tools, content examples, and analytics to understand your specific workflow and business goals. For a marketing agency client, we audited their Google Ads and LinkedIn processes to identify the most time-consuming manual steps before writing any code.

The core of the system is a custom content pipeline built with Python. We use the Claude API, trained on your best-performing content (e.g., the top 10% of posts from the last 12 months) to generate drafts in your specific voice. This pipeline can connect directly to platforms like LinkedIn or monitor over 50 specific subreddits for keywords using the PRAW library. The entire workflow runs on AWS Lambda, processing each content request in under 5 seconds. A FastAPI endpoint provides a simple interface for your team to approve drafts, with results stored in a Supabase database for under $30/month.

You receive a custom dashboard where your team can review and approve AI-generated content with one click. Approved content is automatically scheduled. The system also pulls performance data back from the social platforms, connecting engagement metrics to your specific campaign goals. You get the full source code in your GitHub repository, a runbook for maintenance, and a system built to fit your exact process. Book a discovery call at cal.com/syntora/discover.