Role and Responsibilities¶

Role¶

System Designer, AI-assisted Prototype Engineer.

This was prototype architecture work: translating an enterprise AI idea into a constrained lab stand, not production architecture ownership.

translated the product idea into a prototype architecture model;
formulated the controlled LLM execution concept;
chose a temporary lab stack for the PoC;
designed the synthetic dataset;
designed a prototype playbook / diagnostic-path approach;
designed the controlled tool-access model (see Security and Access Model);
implemented and evolved the initial Tool Registry concept (see Architecture);
prepared synthetic enterprise demo data (see Domain Model);
developed the evidence and transparency approach (see Integration principles);
configured Open WebUI as a temporary chat-like interface (see Trade-offs);
documented limitations, including the absence of a working multi-turn session loop;
shaped a future direction toward reports, signal cards, evidence views, and backend-native orchestration. These items were not implemented.

designed the prototype architecture: chat-like harness, experimental execution flow, diagnostic-path routing concept, tool layer, synthetic data layer, document-evidence direction, and execution trace;
built a laboratory FastAPI + LangGraph runtime for experimental single-request diagnostic flows;
established the principle that the LLM does not query PostgreSQL, Qdrant, or MinIO directly;
implemented / laid down controlled tool execution through a FastAPI tool-server;
prepared a synthetic dataset for a fashion/retail/manufacturing company;
expanded the dataset toward cross-domain diagnostics: finance, delivery, ITSM, PMO, meetings, documents;
recorded the target direction without presenting it as delivered scope.

The project was developed with AI-assisted prototyping.

LLMs were used to speed up:

Key decisions remained under manual control: