mai-daily-post

Automate AI persona X posting by using a multi-pass pipeline that manages persona, phase, and briefing inputs to generate original text and images. The system operates autonomously via an orchestrator, executing strict quality gates and self-correction loops for daily scheduled posts.

The multi-pass quality control pipeline works through a 5-pass system: theme selection, self-criticism, generation, quality gating, and revision. This ensures generated posts meet strict brand voice standards through autonomous self-correction loops before any content is published.

Yes, you can test automated Twitter content generation without posting by running the pipeline with the --dry-run flag. This simulates the entire content generation and quality check process, including text and image creation, without publishing to your X account.

Yes, you need jq and curl, along with base64, sips, and node, to run this autonomous AI social media posting pipeline. These dependencies handle data parsing, API requests, image processing, and execution logic required for the automated generation and posting workflow.

The best way to maintain consistent brand voice in automated X posting is implementing a multi-pass generation pipeline with strict quality gates. By defining specific persona, phase, and briefing inputs, the system applies self-criticism and revision loops to ensure original content adheres to brand strategy.

Autonomous X posting pipelines require headless execution environments like `claude -p` to operate without human bottlenecks. This allows the orchestrator to autonomously execute the multi-pass content generation, quality gating, and scheduled posting processes continuously.