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AI Incident Field Manual — self-directed Mercy Key project (AI-assisted). An 18-page educational guide built around contain, verify and recover workflows, with checklists and practical templates. Original technical-documentation work, not a client case study, independent security audit or guarantee of production safety. Read the complete manual and scope notes: https://mercy-key.codex507411.chatgpt.site/field-manual . The image is the manual's cover. The full PDF is available for free evaluation; the optional paid license is disclosed on the linked page.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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I’ve been building an AI-powered social media automation platform that turns ecommerce products into ready-to-publish marketing content.
The workflow can:
→ Connect to an ecommerce store
→ Sync products automatically
→ Generate social media content with AI
→ Create product-focused visuals
→ Prepare posts/stories for social platforms
→ Schedule and publish content
→ Keep product marketing running with minimal manual work
The bigger idea isn’t just “AI-generated posts.”
It’s building an automated marketing workflow around the actual products in your store.
This is the kind of automation I enjoy building: connecting APIs, AI agents, ecommerce systems, content generation, and social platforms into one practical workflow.
If you're running an ecommerce business and still creating every product post manually, there’s probably a lot that can be automated.
#AIAutomation #Ecommerce #AI #MarketingAutomation #SaaS #Automation #Contra
Love this autonomous workflow! Clean execution and super practical.
Enterprise Private Document Intelligence.
An enterprise-grade front-end interface built for local vector retrieval and document Q&A. Users can drag-and-drop hundreds of PDF manuals, inspect vector chunks, and query a local LLM with instant inline document highlights.
Key Features: Drag-and-drop file ingestion, vector chunk visualizer, page-level PDF preview with real-time highlighted reference quotes.
🐍 One thing Python has taught me: errors are part of the learning process.
Every bug is an opportunity to learn, improve, and become a better problem solver.
Keep building. Keep debugging. 🚀
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