Inbound Social Comment-to-Lead Qualification FSM Specification
Convert social media comments into qualified CRM leads. A robust Finite State Machine architecture and webhook qualification engine.
Problem it addresses
Build an open-source Finite State Machine qualification architecture for social commerce: 1) Mermaid FSM state diagram modeling transition states (Comment_Detected -> Intent_Classified -> Soft_DM_Triggered -> Needs_Human_Handoff -> Lead_Qualified), 2) Python state machine simulation script (fsm_simulator.py) validating edge cases, 3) Anti-ban rate limiting and human-handoff triggers.
Who it is for
PRO operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.
What is inside
Key files listed in the README repository architecture:
architecture/fsm-state-machine-spec.mdARCHITECTURE.mdDATA_MODEL.mddiagrams/lead_qualification_fsm.mmdexamples/simulated_conversation_logs.jsonLICENSEMONETIZATION.mdPRD.mdPROBLEM.mdREADME.mdROADMAP.mdsrc/fsm_engine.py
How to evaluate and use it
- Read the README first and confirm that the documented problem matches your use case.
- Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
- Follow the repository’s Quick Start and check prerequisites before running commands.
- Compare outputs with documented examples and review limitations before using them in a decision or client workflow.
Quick Start from the README: python -m unittest discover -s tests · python src/fsm_engine.py --help
Scope and limitations
- Deterministic State Transitions: Implements a Finite State Machine tracking comment lead lifecycle (Unreviewed -> Scored -> DM Initiated -> Qualified -> CRM Synced).
- Platform Automation Rules: Adheres to Meta and Instagram API rate limits and messaging policies regarding automated direct messaging.
- Sentiment & Keyword Routing: Prioritizes commercial intent keywords ('السعر', 'التوصيل') while deprioritizing spam and negative customer service complaints.
This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.