OpenAI | Daniel Arbelaez Alvarez

FocusCoach - AI Coaching with DISC Methodology

Thu, 02 Apr 2026 00:00:00 +0000

FocusCoach is a personalized coaching platform powered by artificial intelligence and the DISC personality profiling methodology, designed to help entrepreneurs (especially high-I profiles) prevent project abandonment.

Key Features

Adaptive Coaching: Personalized sessions based on the user’s DISC profile
FOCUS-SPRINT Framework: Proprietary methodology for sprint-based project management
Parking Lot: Idea management system to avoid distractions
DISC Gamification: Reward system adapted to the user’s personality profile
Active Learning: The AI learns from interactions to improve recommendations
Document OCR: Document processing with Mistral AI OCR

Technologies Used

Backend: Python 3.12, FastAPI 0.115, Pydantic v2
Frontend: Streamlit 1.41
AI: OpenAI Assistants API, LangChain
Database: SQLite + FTS5 (WAL mode)
Architecture: Clean Architecture (5 layers), DI, Railway-Oriented Programming (returns)
Quality: pytest + hypothesis, ruff, mypy –strict
Deployment: Docker (2-stage build)

Architecture

Clean Architecture implementation with 5 layers and advanced patterns:

Strategy Pattern for adapting coaching based on DISC profile
Dependency Injection for service decoupling
Railway-Oriented Programming (Result[T, E]) for error handling
28 experimental notebooks validating 8 MVPs before implementation

Achievements

46 tests passing with strict type checking (mypy –strict)
8 validated MVPs in notebooks before migration to production
5 architectural layers implemented with complete DI

Impact

FocusCoach addresses a common problem among entrepreneurs: project abandonment due to lack of focus and structure. By personalizing coaching according to DISC personality, the platform offers strategies that resonate with each user’s cognitive style.

This project combines knowledge from organizational psychology (DISC methodology), software engineering (Clean Architecture), and artificial intelligence (LLMs + RAG) to create an innovative personal productivity tool.

DisciplinaJudicial AI - Judicial Discipline Process Guidance

Fri, 06 Mar 2026 00:00:00 +0000

DisciplinaJudicial AI is an artificial intelligence assistant specialized in disciplinary processes for Colombian judicial servers, providing guidance on the disciplinary regime, offenses, sanctions, and rights.

Key Features

Disciplinary Regime: Guidance on the regulatory framework for judicial server discipline
Offense Classification: Assistance on the categorization and severity of disciplinary offenses
Disciplinary Procedure: Support on stages and deadlines of the process
Sanctions: Information on types of sanctions and their implications
Rights of the Investigated: Guidance on procedural guarantees

Technologies Used

Backend: Python, OpenAI API
Frontend: Streamlit
AI: Language model with a knowledge base in judicial disciplinary law
Deployment: Streamlit Cloud

Impact

DisciplinaJudicial AI facilitates access to information about the judicial disciplinary regime, helping judicial servers understand their obligations, rights, and the consequences of failing to fulfill their functional duties.

This assistant was born from the need to provide accessible guidance in a highly specialized area of law, where information is often fragmented and difficult to interpret for officials without deep legal training.

TYBABot - Virtual Assistant for Justicia XXI Web

Fri, 19 Sep 2025 00:00:00 +0000

TYBABot is a specialized virtual assistant for Colombia’s Justicia XXI Web (Tyba) system, developed with Streamlit and the OpenAI API. It provides guidance on electronic judicial management to officials and system operators.

Key Features

Document Management: Guidance on e-judicial documents and their handling in Tyba
Judicial Proceedings: Guide on registering and querying procedural actions
Petitions: Assistance in managing electronic petitions (memoriales)
Notifications: Guidance on the digital notification system
Electronic Signatures: Support for judicial electronic signature processes

Technologies Used

Backend: Python, OpenAI Assistants API v2
Frontend: Streamlit
AI: Language model with specialized knowledge base on Tyba
Deployment: Streamlit Cloud

Impact

TYBABot reduces the learning curve for judicial officials interacting with the Tyba system, providing contextualized responses based on the official system documentation and best practices for electronic judicial management.

This assistant was born from direct experience working with the Justicia XXI Web system in the Judicial Branch, identifying the most frequent difficulties officials face when adopting electronic document management tools.

TutelaBot - Fundamental Rights Assistant

Thu, 18 Sep 2025 00:00:00 +0000

TutelaBot is a virtual assistant specialized in Colombian constitutional mechanisms for the protection of fundamental rights: the Accion de Tutela (constitutional protection action) and the Derecho de Peticion (right to petition).

Knowledge Base

Political Constitution of Colombia 1991: Relevant articles on fundamental rights
Decree 2591 of 1991: Regulation of the Accion de Tutela

Key Features

Tutela Guidance: Assistance on requirements, procedures, deadlines, and scope of the Accion de Tutela
Right to Petition: Support on how to exercise the right to petition before public and private entities
Legal Foundation: Responses grounded in current constitutional regulations
Accessible Language: Clear explanations for citizens without legal training
Conversational Interaction: Natural dialogue to resolve legal questions

Technologies Used

Backend: Python, OpenAI API
Frontend: Streamlit
AI: Language model with Colombian constitutional knowledge
Deployment: Streamlit Cloud

Impact

TutelaBot democratizes access to information about fundamental rights protection mechanisms, enabling any citizen to understand how to exercise their constitutional rights without the need for prior legal counsel.

This project stems from the conviction that technology can reduce the justice access gap by providing basic legal guidance on the most widely used mechanisms by Colombian citizens to protect their fundamental rights.

LLM Chat App - Multi-Provider Application

Thu, 03 Jul 2025 00:00:00 +0000

LLM Chat App is an interactive chat web application with support for multiple language model providers, including Anthropic Claude and OpenAI GPT, featuring a clean interface and straightforward API key configuration.

Key Features

Multi-Provider: Support for Anthropic Claude and OpenAI GPT in a single interface
Simple Configuration: API key entry directly within the application
Conversational Interface: Interactive chat with conversation history
Docker Deployment: Production-ready Docker image
Model Selection: Dynamic switching between providers and models

Technologies Used

Frontend: Streamlit
APIs: Anthropic Claude API, OpenAI API
Container: Docker
Language: Python

Impact

This application simplifies experimentation with different language models by providing a unified interface for interacting with leading LLM providers, ideal for comparing responses and evaluating capabilities across models.

Developed as an exploration and demonstration tool for LLM API integration, facilitating rapid evaluation of different models for specific use cases.