My AI-powered automation workflow turns spoken thoughts into published blog posts with minimal manual effort.

I've always enjoyed expressing myself through spoken words. The challenge, however, was translating those spontaneous thoughts into well-structured written content. Being more comfortable speaking than writing, I sought a way to bridge this gap using AI. My solution? An end-to-end AI automation workflow that allows me to simply speak my thoughts and have them transformed into a fully published blog post. It begins with capturing my voice using Wispr Flow, an AI tool that transcribes speech to text with remarkable accuracy. "The beauty of this system," I realized, "is that it captures my thoughts in their rawest form, ready to be refined into compelling content." Once the transcription is complete, the workflow automatically creates a file in Google Drive. This file creation triggers Make (formerly Integromat), an automation platform, to extract the text and feed it to Gemini, Google's AI model. In Gemini, a specific prompt guides the AI to summarize and refine the text into a well-written article, complete with relevant headings. The generated content is then structured into a JSON file, essentially a tabular data format, using another Gemini prompt. This organized JSON file is parsed and used to populate a Google Sheet. Each new file creates a new row in the sheet, with columns corresponding to the blog post's subheadings. As soon as a new row is created in the Google Sheet, a trigger activates Webflow CMS. Webflow pulls the data from the Google Sheet, mapping the column headings to the appropriate fields in the CMS. Finally, when a new CMS item is created, it automatically gets published on my website. To ensure a visually appealing presentation, I've designed my website to automatically generate a thumbnail for each new post. This thumbnail includes a background color and the blog post title in a bold format. This ensures that even if I haven't uploaded a custom image, the blog post still has a visually engaging presence. The entire process is continuously monitored by Make, which checks every 15 minutes for new Google Docs in the designated folder. The moment a new document is detected, the entire pipeline is triggered, automatically transforming my spoken words into a published blog post. It’s an amazing process, an AI-driven workflow to create blog posts with just me speaking my heart out.
I learned the value of combining different AI tools to create a seamless and efficient workflow. The iterative process of refining prompts for Gemini was crucial in achieving the desired output.