Eesmyal Santos-Brault — AI builder and consultant. Twenty years at the intersection of technology, science, and social good. Ten organizations co-founded across companies, non-profits, and consortia. Two exits. Now running NodeBook and helping organizations deploy AI where it actually belongs.
Figure out where AI belongs in your organization, where it doesn't, and what to build first.
Design and prototype practical AI systems that reduce repetitive work without creating fragile black boxes.
Turn scattered documents, conversations, and institutional memory into queryable, structured intelligence.
Build conversational AI workflows for calls, triage, scheduling, customer intake, and operational handoff.
Design personal assistants and multi-step agent systems — from research and email triage to custom orchestrations on top of agent frameworks like Claude Code, OpenClaw, and similar harnesses.
Use AI to structure messy qualitative, scientific, or operational data into useful outputs.
Twenty years. Ten organizations co-founded — across for-profit companies, mission-driven non-profits, and industry consortia. One question still drives the work: where does AI actually belong in human operations — and how do we deploy it without hollowing people out?
I started in green building — co-founding Recollective, a values-driven consultancy that worked on 750+ green buildings in North America and was twice certified B-Corp in the global top 10%. From there: a coworking hub for change-makers (The HiVE), software for the built environment (OPEN Technologies), audio storytelling for green architecture (GBAT), and a design-driven creative collective that spread to seven other cities (Design Nerds).
The throughline shifted toward health and AI in 2018, when I co-founded Quantified Citizen — a mobile health-research platform applying AI, automation, and participatory science to behavioural studies. It produced one of the largest naturalistic datasets on psychedelic use globally and led to peer-reviewed papers in Scientific Reports (Nature Portfolio) and Psychopharmacology.
Today I run NodeBook, my AI & automation consulting practice. I work with organizations deploying AI in the real world: voice agents for healthcare contact centers, knowledge graphs and conversational interfaces, agentic workflows, and the messier strategy work of figuring out where AI actually belongs in an operation — and where it doesn't. Clients range from public-health institutions to small businesses in my own community.
Underneath the client work, I'm also building a temporal multimodal knowledge graph platform for personal and collective cognition. How do we extend human thinking with AI in ways that make us sharper rather than more dependent?
Worked with a major division within Denver Health and Hospital Authority — a multi-billion-dollar public safety-net hospital system — on a comprehensive feasibility study for implementing conversational voice AI into workflow operations, including call triage, structured summaries, and human handoff. The strategic engagement delivered a detailed, data-driven implementation roadmap that is now being taken to market.
Built an AI-assisted workflow for turning scientific papers, reports, and transcripts into searchable, structured knowledge.
Designed interactive voice and SMS workflows for missed-call capture, appointment intake, and owner-friendly summaries.
I take a small number of consulting engagements at a time. Public-health and research institutions, founders building real products, and local businesses all welcome.