AI Product Lab

Felllo AI-native project orchestration

Built inside the Avernus Product Lab, Felllo eliminates manual project setup by turning requirements into structured, executable workflows. It is an internal R&D initiative focused on intelligent planning and automation.

Active Development
AI Orchestration
Structured Outputs
01

Overview

Felllo is an AI-native platform that converts requirement documents into structured boards, milestones, and dependencies with minimal human setup.
02

The Problem

Teams still translate requirements by hand, build Kanban boards manually, and configure workflows before real work can start.
03

The Vision

Describe what you want to build and receive an automated roadmap with categorized tasks, milestones, sprint suggestions, and mapped dependencies.

How Felllo works

Pipeline overview
Step 1
Chat to capture intent

Users describe goals, constraints, and priorities.

->
Step 2
Mutual feature alignment

The system and team finalize scope together.

->
Step 3
Kanban board ready

Jira-style tasks and dependencies are generated.

Impact

Felllo prototypes are designed to eliminate the majority of manual setup tasks, helping teams move from conversation to execution-ready boards faster.

System architecture

Felllo is engineered as an AI-first system, not a traditional project management tool with AI layered on top. Every module is designed for orchestration, validation, and structured output.

Core stack
React (Frontend)FastAPI (Backend)Python AI EngineOpenAI / Gemini LLM integrationStructured prompt orchestration layer
System includes
  • Requirement parser
  • Intent classification module
  • Dynamic board generator
  • Context retention engine
  • Structured output validator

Key capabilities

AI-native workflow design

Generative Kanban Boards

Transforms requirement documents into ready-to-use project boards.

Conversational Project Builder

Teams create workflows through natural language prompts.

Structured AI Output

Tasks are categorized, logically grouped, and dependency-aware.

Extensible Orchestration Engine

Designed for future modules like risk prediction and documentation generation.

Why it exists inside Avernus

Felllo is the internal experimentation ground for multi-agent orchestration, prompt engineering frameworks, structured output validation, and AI workflow automation models. Every innovation tested here informs client systems. We do not simply integrate AI APIs; we engineer AI systems.

Development status

Currently in active development and architecture refinement.

  • Optimizing generative accuracy
  • Reducing hallucination in task structuring
  • Enhancing multi-document parsing
  • Improving performance under long-context inputs

Long-term vision

  • A fully AI-native orchestration suite
  • A plug-in AI engine for enterprise systems
  • A modular workflow intelligence framework

Where this leads

Felllo embodies the Avernus mission of engineering intelligent automation. Each milestone here elevates how enterprise systems plan, structure, and execute complex projects with AI at the core.

Interested in AI-native systems?

Let us architect intelligent workflows, structured outputs, and orchestration pipelines tailored to your organization.