BodiCRM
Adoption-first CRM and partner workflows with AI-assisted next actions and explainable recommendations.
Open live demo → Question: Can CRM reduce work instead of adding more?Independent Product & Innovation Lab
BodiLabs is the workshop behind the thinking—practical products and experiments for business workflows, security, and AI-assisted work.
BodiCRM explores a simple idea: AI should reduce administrative friction, preserve customer knowledge, and help teams move work forward—not become another interface demanding attention.
Open the live demoThe lab shelf
The main shelf stays intentionally small. Each project explores a real workflow, security boundary, or product question instead of existing only as a technology demonstration.
Adoption-first CRM and partner workflows with AI-assisted next actions and explainable recommendations.
Open live demo → Question: Can CRM reduce work instead of adding more?A policy-driven approach to backup, sync, restore, and multicloud storage with clear operational control.
Question: Can safe defaults make protection easier to operate?Local tooling that lets approved commands use real credentials without exposing secret values to coding agents.
Question: How can AI help without crossing the credential boundary?Security and API tools that turn raw data into filters, context, prioritization, summaries, and clearer next actions.
Question: How do we turn more data into a better decision?Builder’s Notes
The notes live with Yaling’s writing, while BodiLabs connects each lesson back to the systems and experiments behind it.
Exposure context, prioritization, explainable summaries, and risk-focused reporting.
Portfolio analysis, vendor discovery, maps, and adaptive fetching in one portable workflow.
What changes when teachers, students, and beginners become the centre of the product.
How the lab builds
BodiLabs exists to learn through making. The principles are deliberately simple enough to influence real product decisions.
Understand how people work before deciding what the software should contain.
A useful system people choose to use is better than a clever system they avoid.
Use AI to assist and accelerate while keeping secrets, authority, and judgment protected.
Every experiment should answer a meaningful customer, product, or architecture question.
The person behind the lab
Yaling Lu works across customer strategy, solution architecture, security, delivery, and adoption. The lab is where those ideas are tested through practical products and experiments.
Meet Yaling Lu