Vee Group
AI-native business diagnostic platform.
About
AI diagnostic engine for business growth.
A business answers a short set of questions, and the tool adapts as it goes, asking follow-ups based on each answer to get deeper into how the business actually works. Nine specialised AI agents run behind it: matching the business to its closest peers by sector and revenue, scoring across 500 growth frameworks to find the top root causes, reading founder and team psychology, culture, and finances, then turning it all into a diagnosis and a 90-day execution roadmap. Every diagnosis retrains the agents, so each one gets sharper than the last. The output is a clear read on the real reason growth has stalled, not the surface symptom, plus the plan to fix it.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
We launched it for free, we just wanted to see if people would use it… we were blown away by the usage statistics. In the first week I don't even know how many thousands of resumés for people, for totally for free.
Launch the AI version for free first — let usage stats prove demand before pricing turns on
Charging on day one of a new AI product hides whether people actually want it. Launch fully free, watch what real usage does, then flip pricing on a week or two later once word-of-mouth has already started compounding.
no more spending time trying to manage embeddings and providing context from these embeddings we spend a ton of time building this in house now everything is about to become a simple parameter in an API call we can delete a lot of our custom code
Platform feature drops often help you — they delete your custom code
When the underlying platform ships the feature you were duct-taping together, panic is the default reaction — but Banua at SciSpace welcomed OpenAI shipping native embeddings/retrieval because it deleted months of custom infrastructure his team was maintaining. Reframe platform releases: each one collapses a layer of your engineering cost, freeing you to invest that capacity in features the platform will never build.
There's a play for whatever you're stuck on.
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