Real examples of product and workflow improvement
Two projects where our AI workflows improved how a product grows and how its team works day to day. More case studies will be added as outcomes can be shared.
Three AI workflows that grew a national school directory
For Educalista, we built the AI systems behind three growth engines: data scraping and curation for 13,000+ school profiles, automated content for parents, and an outreach and support pipeline that brought schools onto the platform.
Each engine fed the next. Better data made better pages, better pages pulled traffic, and traffic fed a funnel that turned schools into paying customers, all run by a small team instead of a growing pile of manual work.
Check out the live school directory at educalista.es.
View school directory projectAn AI-native learning platform for BuidlGuidl
We built Learning Lab: an in-browser platform where an AI tutor grades free-text answers and coaches the Socratic way, so learners explain concepts in their own words instead of picking from a list.
Concept, then explain, then write and deploy real Solidity, all in the browser with no setup. A custom AI-native product, not a chatbot bolted onto a course.
Proof is the live product: try Ethereum 101 at lab.buidlguidl.com.
View developer learning projectIf this looks like the work you need, let's talk about your workflow.
The first conversation is about the process: where time and quality leak, which tools are involved, and what system would make the work easier to run.