# Superconscious AI Agency ## Content ## Summary Automate your marketing briefs for new features and auto generate your content for Blog, Email, Linkedin, and X ## Metadata - **Category**: AI Marketing - **Tags**: workflow, Automation - **Author**: Superconscious AI Agency - **Published**: January 16, 2026 - **Reading Time**: 7 minutes - **Last Updated**: - **Content Type**: Blog Article ## Content # Build a Simple Product Marketing Workflow That Saved 250 Hours Your engineering team just deployed some exciting new capabilities. The code is live, the docs are updated, and the feature is ready to use. Now comes the hard part: **you have to tell the world about it.** Usually, this is where the bottleneck happens. ## The "Before" State: The Content Grind I used to spend roughly **one hour per post, per channel**. When you look at the standard distribution checklist for a single feature release, the time adds up fast: **Blog Post:** 2 hours (drafting, formatting, screenshots) **LinkedIn:** 1 hour **X (Twitter):** 1 hour **Email Newsletter:** 1 hour That is 5 hours of work for one release. If you ship once a week, that’s over **250 hours a year** just spent repurposing the same information. ## The "After" State: The 1-Minute Workflow Now, the entire process runs in about **1 minute**. I built a system where my AI agent has access to my file system (Dropbox and Google Drive). By chaining prompts together, I can turn a single Slack notification from engineering into a full marketing suite. Here is exactly how the workflow operates. ## 1. The Setup: Context is King Before running the prompts, the system needs access to your "Knowledge Base." I keep two specific files in my drive that the AI references constantly: **`color-palette.md`**: Contains all hex codes and usage rules for primary, secondary, and accent colors. **`branding.md`**: Describes the voice, tone, style, and design rules for our images. ## 2. The Prompts The secret to this workflow is **prompt chaining**. Don't ask for everything at once. Ask for the strategy first, then the content, then the distribution assets. Here are the 5 exact prompts I use to automate the flow: ### Step 1: The Brief Input: "We launched a new platform update that improves [usability/speed/etc]. This is what it does: [include raw message from engineering]. Here is a link to the documentation: [Link]. Task: Create a marketing brief about the benefits of these capabilities. Focus on the value prop. Store the marketing brief in Google Docs." ### Step 2: The Blog Post Task: "Using the marketing brief you just created, supplement it with the original message from engineering and the documentation link to draft a professional product update. Create a markdown file with the copy and use `blog-post-template.md` to format the blog specifically for our CMS." ### Step 3: The Newsletter Task: "Turn this blog post into an email newsletter announcement. **Audience:** Warm leads and current customers. **Goal:** Drive them to the documentation or the login page." ### Step 4: LinkedIn Task: "Turn this content into a LinkedIn post. Keep it professional but punchy. Use line breaks for readability." ### Step 5: X (Twitter) Task: "Turn this into a tweet (or thread). Focus on the single most exciting metric or improvement." ## 3. The Trigger You can run this manually by copy-pasting, but the real magic happens when you automate the start. I currently use a **Slack Notification** as the trigger. **When:** Engineering posts in the `#production-deploy` channel. **Action:** The system grabs the text of that message, identifies the documentation link, and kicks off the prompt chain automatically. As you build out your AI system, you can move the trigger even further upstream—like triggering the workflow immediately when a **new page is published on your documentation site**. ## 4. Automating Visuals (Nanobana) Text is easy. Images are usually the blocker. To solve this, I use **Nanobana** to programmatically generate the images for the blogs and social posts. Because the AI has access to my branding files, it passes the correct parameters to the image generator. It reads `color-palette.md` to ensure the background and text colors match our brand. It reads `branding.md` to ensure the layout style is consistent. The result is a folder full of on-brand assets generated at the same time as the copy. ## Summary We moved from a manual, 5-hour creative grind to a 1-minute review process. The engineers ship the code, the system builds the marketing assets, and I spend my time on strategy rather than formatting blog posts. ### Bonus Workflow Template if you want to try this out here is a [workflow template](https://chat.lindy.ai/home/?templateId=696c0824e8173734a9a46b6c) you can get started with **Need help implementing AI?** [Contact Superconscious AI Agency](https://superconscious.agency/get-started) for expert AI consulting and custom solutions. --- ## Page Information - **Primary URL**: https://superconscious.agency/blog/product-marketing-content-automation-workflow/ - **Markdown URL**: https://superconscious.agency/blog/product-marketing-content-automation-workflow/format=md/ - **Format**: Optimized for LLM consumption - **Site**: Superconscious AI Agency - Leading AI consulting and development services - **Contact**: hello@superconscious.agency | (310) 426-8195 ## Related Content This article is part of our AI insights blog covering artificial intelligence, machine learning, automation, and business intelligence topics. Explore more at: https://superconscious.agency/blog/ --- ## Page Information - **Primary URL**: https://superconscious.agency/blog/product-marketing-content-automation-workflow - **Markdown URL**: https://superconscious.agency/blog/product-marketing-content-automation-workflow/format=md/ - **Format**: Optimized for LLM consumption - **Site**: Superconscious AI Agency - Leading AI consulting and development services - **Contact**: hello@superconscious.agency | (310) 426-8195