Lovrabet product demo videos
01 DBAgent
Facing an undocumented, structurally complex legacy system, teams burn enormous time mapping databases and business relationships — and worry about breaking production before changing anything. DBAgent recovers business objects, relationships, and rules straight from your existing data structures. You don't have to tear the old system down first: the discovery cycle shrinks, and legacy data steadily becomes business assets that AI can understand and call. The video below shows the complete process.
02 Cloud Agent — executive data Q&A
Play video: Cloud Agent — executive data Q&A
When leadership asks an off-the-cuff question about business performance, the traditional route — business, data, and IT teams consolidating numbers — often delivers the answer after the decision window has closed. The cloud Agent lets managers query any data within their permissions in natural language, with sources attached to every result. Business questions get trustworthy answers faster, with less waiting on reports and less back-and-forth checking. The video below shows the complete process.
03 Bulk data write-back
Bulk write-backs usually depend on Excel imports, manual entry, or throwaway scripts — and as volume grows, so do missed and mistaken fields, with no way to trace what happened afterwards. AI can clean and validate the data first, then write it back to the system in bulk under your business rules. Human work narrows to the key confirmation points, so you keep execution speed, accuracy, and traceability at once. The video below shows the complete process.
04 Business users generate custom pages
Business teams often need nothing more than a small page that fits the scenario at hand — yet it enters the full requirements, scheduling, and development cycle, and the faster things change, the more that waiting costs. Now business users simply describe the objects they handle and how they want to work with them, and a page of their own takes shape fast. IT stays in control of data, permissions, and release standards, cutting the cost of delivering personalization. The video below shows the complete process.
05 Generating smart list pages
In enterprise systems, data list pages — a search bar on top, a table in the middle, pagination below, plus import, export, and action buttons — account for over 55% of all pages. Traditional list pages share a few chronic problems:
- They mostly display a fixed set of fields. The moment the business needs a new filter, aggregate, or action, it's another round of dev work.
- They are slow and laborious to build: requirement discussions, testing, and repeated iterations eat up time, and different teams tend to deliver inconsistent experiences.
Big-tech quality, right from the start
In the past, only big tech companies — with deep product, design, and engineering budgets — could build capabilities like bulk actions, data export, access control, personalized columns, reusable views, inline editing without page jumps, detail drawer previews, and internationalization as a complete set.
So Lovrabet turns 20+ professional B2B capabilities into defaults that generate quickly and keep upgrading. Built around real business objects, smart lists with query, filter, and action capabilities arrive ready to use — no designing, building, and testing from scratch for every page. Frontline staff get a consistent, efficient, AI-Native way of working, and IT can pour its energy into the business logic that truly differentiates. The video below shows the complete process.
Business users never have to memorize field names or filter conditions — describe the data you're looking for in natural language, and the smart query does the rest.
06 Give Workbuddy access to private enterprise data
Plenty of companies and employees already use Workbuddy, TraeWork, ChatGPT, or even homegrown general-purpose Agent clients. Lovrabet provides a powerful CLI system that lets nearly any Agent client access business system data, complete business processes, and have AI deliver results — and it plugs into capabilities like Workbuddy's local file access and ecosystem integrations to make the enterprise more efficient.
07 Develop in any AI Coding Agent
Development teams spend huge chunks of time understanding platform conventions, hunting down interfaces, and rebuilding the same scaffolding — squeezing out the energy for real business innovation. Bring the enterprise's data models, interface capabilities, and engineering standards into Codex, and AI assists development with the right context: the path from requirement to running feature shortens, and implementations drift less between projects. The video below shows the complete process.