Business Context Engineering Made Simple for Marketing Teams
Optimize business info to be used as AI memory for consistently high-quality outputs with 5-10x fewer iterations required across AI tools & team -Tailored to Marketing tasks -Info quality scoring & refinements -Multi-product/audience management -API/Zapier/MCP
Really love what you are doing! Applying your business context to different LLM use cases is always a massive pain -- this looks very useful!
Great to see that context engineering is getting to domains other than just coding!
This resonates. I’ve wasted a lot of time writing the same intros about our products to different chats as they tend to become slow and glitchy as the chats grows older and has more history. And yeah - giving it too much info can definitely worsen the output. Not easy to find the perfect balance. Will have to try your tool.
THEO 2.0 looks like a powerful upgrade! Streamlining AI memory for marketing teams and reducing iteration fatigue is a real productivity boost — especially with info scoring and cross-product context handling.
"consistently high-quality outputs with 5-10x fewer iterations" - sweet words to read!
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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
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