Client: InfiniteUp Ltd. Industry: SaaS / SME Automation Platform: DOER Business Status: Trial Phase (Pre-Revenue) Tech: FlutterFlow, Firebase, OpenAI APIs

InfiniteUp engaged Contra creators to build DOER Business—a platform that gives small businesses their own AI-powered business team. The goal was to democratize enterprise-level automation using no-code tools, making it accessible to entrepreneurs around the world.

DOER Business was built entirely in FlutterFlow, integrated with OpenAI Assistants API, and connected to Firebase for real-time backend management.

Full-stack app development in FlutterFlow

Integration with OpenAI Assistants API for multi-agent AI functionality

Firebase setup for authentication, data handling, and task tracking

Strategic architecture and prompt engineering for AI flows

QA, iteration, and user feedback loops with 4,500+ trial users

Multi-Agent AI Teams Instead of one assistant, DOER provides users with a team of AI agents (CEO, Sales, Legal, CRM, and COO), each with a clear business function.

Sales Strategy Flow Users input a business name. The system pulls contextual data via the Google Maps API, generates a custom sales pitch using OpenAI, and tracks follow-up tasks through Firestore.

Real-Time App Logic All logic, reminders, and task flows are managed via FlutterFlow’s Action Trees and Firebase backend.

FlutterFlow enabled rapid iteration, strong UI/UX development, and direct control over API logic. It offered key benefits like:

Code ownership with exportable Flutter code

Scalable architecture for real-world products

Clean integration with Firebase and REST APIs

Efficient collaboration between global team members

Led by Barrett Nash, the team included:

Backend/API lead for Firestore and OpenAI logic

UI/UX expert for FlutterFlow builds and user flows

QA and feedback management for real-world trials

The project was executed across multiple time zones with daily standups and ongoing iteration.

4,500+ active trial users

Zero paying users to date

Pricing and onboarding flows in testing

Forecasted financials project strong growth if conversion scales, but the platform remains in its pre-revenue phase.

Improve onboarding and trial-to-paid flow

Launch DOER Partner Network to support global distribution

Enable user-created AI assistants

Expand automation features for task routing and CRM updates

This case study was featured in a University of Calgary course on digital entrepreneurship. It showcases how no-code and AI can come together to build a full-featured SaaS platform from scratch.

No-code tools like FlutterFlow can deliver real, scalable products

AI agents perform better when designed as a team, not a monolith

Full lifecycle delivery—from architecture to testing—is critical to product success

Early-stage platforms benefit from clear iteration and transparent status updates