Floio /FLOW-ee-oh/ - like Mario
Floio is custom-built AI infrastructure — not a self-serve automation platform. Floio takes the specialized knowledge people already have (or have access to), teaches it to an AI, and exposes it through a clean API that connects to existing apps, automations, and tools.
Under the hood there’s a lot of math and infrastructure. In practice, Floio is built on three simple ideas:
“Turning text into a memory map.”
Embeddings are how Floio turns documents, notes, and data into numbers a model can actually remember. Think of it as turning a messy folder of files into a searchable, high-resolution mental map.
In Floio, each profile or “mind” gets its own embedding library, so different audiences don’t step on each other.
“Only answer from what actually matters.”
RAG (Retrieval-Augmented Generation) means the AI looks up relevant knowledge before it answers. Instead of guessing from the whole internet, it pulls from your curated library first.
Floio builds focused RAG libraries per profile so answers stay on-topic, grounded, and explainable.
“One clean door into each mind.”
Once a mind is trained and wired to RAG, Floio exposes it through a simple API endpoint. That endpoint can feed dashboards, no-code tools, Google Sheets, custom GPTs, or mobile apps.
You don’t have to manage models, tokens, or hosting — you just connect to the API and send questions.
Start with the most important specialized information: playbooks, policies, product docs, devotionals, research, spreadsheets, transcripts. This information is structured into profiles (or “minds”).
Floio creates embeddings, builds a RAG library, and connects it to one or more language models (OpenAI, xAI, or local). The result is a mind that only answers from a niche world, not from generic internet noise.
Each mind gets a single API endpoint. From there profiles/knowledge can be dropped into Google Sheets, internal tools, Make/Zapier flows, a mobile app, or a custom GPT.
Theology corpus · RAG engine · Floio API · Mobile app
A curated theology library is ingested into Floio and turned into a focused RAG engine. That mind is exposed through the Floio API and called from the Still App to generate personalized, scripture-anchored devotions in real time.
Ops docs · Embeddings · Floio API · Google Sheets
An operations team loads SOPs, checklists, and FAQs into Floio. A focused ops mind is created and connected to a Google Sheet. Team members type natural-language questions in a cell and Floio fills answers, links, or next steps into the sheet.
Policies · Docs · Tickets · API
A company feeds handbooks, HR policies, support tickets, and release notes into Floio. A single “Company Brain” mind powers HR self-serve, support macros, and onboarding checklists — all from the same source.
Courses · Notes · Q&A · API · Custom GPT
An expert loads course material, blog posts, and Q&A archives into Floio. Their “Expert Mind” powers a custom GPT, website chat, and email drafts that sound like them — all constrained to their actual content.
Floio isn’t trying to become a brain that knows everything. It builds minds that know a specifc world of info extremely well — then uses APIs to plug them into the tools and places where people actually work and live.