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Product Development with AI and Automation
Published September 9, 2024 · 16 views on YouTube
Key takeaways
- MarketSauce.ai started as manually structured and refined ChatGPT prompts, built on frameworks developed with other experts over three years.
- Using this manual prompting process, the team could produce roughly 50-page, highly detailed market analysis reports.
- Running the same process across multiple ChatGPT accounts simultaneously still hit limits, showing the need for automation to scale.
- The team spent the past year building backend automations on the Make platform to scale the market analysis and marketing strategy process.
How was MarketSauce.ai originally built?
MarketSauce.ai was created as a product based on frameworks Darby and collaborators developed and refined over three years, largely through manually structuring and refining prompts in ChatGPT. Using language itself as the “code,” this manual process was capable of producing roughly 50-page, highly detailed market analysis reports.
Why did the manual ChatGPT process need to change?
Even running the process across multiple ChatGPT accounts at the same time, the team still ran into limits, and there was still significant manual work involved in reaching the final marketing strategy output. That bottleneck made it clear that scaling the outcome required automation rather than more manual prompting.
What platform did the team use to automate the process?
Over the past year, the team dug extensively into a platform called Make to handle the backend processing of these automations, aiming to scale the market analysis and marketing strategy work beyond what manual, prompt-by-prompt ChatGPT sessions could support.
Full video transcript
We did create this as a product based on frameworks that we’ve learned and built, and collaborated with other experts on for the last three years, and doing a lot of that by simply structuring prompts, refining prompts, and doing a lot of that process manually, which, you know, the only code in this case would be talking to ChatGPT and using your language as the code.
We got to the point where we could produce these 50-page, super-detailed market analysis reports just doing that process. But you get to a point where, even if you’re doing it five ChatGPT accounts at the same time, you’re still going to run into limits, and there’s still a lot inside of that ultimate outcome for creating our marketing strategies.
With this process, you know, you need to have some type of automations that could scale that. So that’s where, over the past year, we’ve been digging into a platform called Make very extensively for running a lot of the backend processing of these automations to helping with…