So I never miss a ticket or important update again.
AI-native intelligence system for Fluminense matches
Date
April 2026
Company
Personal project
Scenario
I have this passion: Fluminense.
Love attending the most matches possible, sometimes even short trips to away games. My father goes to most of it too. It's generational, it's emotional, it's Fluminense.
Challenge
Match and ticket info can be hard to find (and trusted). How do you plan for something if tickets can be released at any moment, and anything can change at short notice?
Results
First in line
for ticket sales
Zero
missed ticket sales
Zero
moments lost for details
Goals
Release a product to the market.
Solve a real and personal problem.
Exercise AI fluency.
Create a case study documenting the process.
Context
I’ve followed Fluminense my entire life — not just watching, but attending.
It's there everywhere I go. It's part of my life.
Problem
Almost stayed longer in São Paulo for a match. They changed the stadium last minute 🤡
I found out about it just in time.
I was planning a short trip just to attend a game in Santos.
Tickets dropped silently, never had a chance to buy.
My dad and I get tickets in different waves.
It's madness to keep track of so many games and waves.
My match system was broken
Fragmented: Information spread across social, news and ticket sites.
Unpredictable: Frequent last-minute changes. (weather and violence incidents)
Blind decisions: It's common to land in a different city without yet having tickets.
Needed
Another app to check.
One system watching over everything.
Real-time, reliable alerts to prevent me from wasting time and money.
Information that gives me confidence before acting
Safety insights to help me navigate the turbulent waters of South American football.
Many sources, many formats
Solution
A system that monitors multiple sources and alerts me about important updates.
Home
Available tickets
Schedule
Match detail
1
General info: All basic stuff I need to know ahead of a match.
2
Data confidence: Compare sources to make sure I'm fed with the right data.
3
Ticket waves: Display all different ticket sale phases.
4
Safety history: A fresh look into the relation between teams and supporters.
5
Pre-match updates: Highlight recent content related to the game (road blockades, conflicts, incidents, and traffic).
6
Notifications: No more flood of information, now filtering the essential and most relevant to my planning.
Notifications
Settings
Outside the app
Telegram notifications
Action required events automatically synced to Calendar
How it works
Different problems demanded different flows
Match data (every hour)
Data scraper
5 sources
Normalization
Clean and standardize
Confidence engine
Data agreement, change detection
Fill content and Telegram alert
Inform and notify
This feeds
Ticket data (every 5 min)
Ticket Scraper
Club website
Instagram post
News article
Content extraction
Clean and standardize
AI parsing
Detect wave, date
and availability
Fill content and Telegram alert
Inform and notify
This feeds
Pre Match (hours before)
Weather lookup
Forecast
Safety check
Conflict incidents in
news and social media
Related News
Blocked roads, trafic,
public transportation…
Fill content and Telegram alert
Inform and notify
Notification prioraty
Event detected
Critical?
Yes or No
High
- Stadium changed
- Tickets live
Low
- Small confidence change
- Changes in far away matches
A sustainable, updated, sharp, non disturbing and always relevant system.
Tools & Stack
Chosen to move fast, minimize costs and last long.
ChatGPT
Planning, structuring and prompt optimization.
Claude
Data processing, project memory and context.
VS Code
Primary IDE for rapid iterations and code editing.
Vercel
Hosting and deploying platform.
Supabase
Database, storage and normalized match states
Github
Automation and background processing.
Next.js
Core layer powering ingestion and delivery.
Telegram Bot
Instant notifications informing significant infos.
Open-Meteo
Weather forecasting API.
Maps
Stadium logistics and directions.
BEFORE
AFTER
Now I can
Guarantee my tickets - Get alert and open the link directly from the notification.
Cancel on low confidence - Inconsistent info generally means a real and important change in the future.
Book trips with more certainty - Multiple sources and ticket "priority" help me decide.
My father will have his tickets - Different wave alerts prevent me from getting confused.
Mind my day with no concerns - System will pay attention so I can relax and wait for action time.
UX Key Decisions
Speed vs Accuracy
Confidence score instead of binary truth. Sometimes a small change is enough to deserve attention.
Automation vs Control
Some tasks are easy and light, but not all of them need complex processing. Smart, not hard processing.
Coverage vs Reliability
A balance between too many sources and too few to be trusted.
Intelligence vs Cost
Not the best possible tool, but will work long term and allows updates and improvements.
Product vs Behavior
Meet user where he already is.
Quick reflections
Planning before prompting is key. Comparing plans and AIs. Prompt generators. These helped.
Be open to learning. As just a curious (non-technical) designer, understanding new tools and tech is crucial.
The AI will hallucinate. Things will break. So pacience might be the best skill dealing with it.
Results achieved
First in line
one of the first to know about ticket availability
Zero
missed sales since launch. If I want to go, I'll be there
Zero
moments lost to wrong stadium, wrong date, wrong wave
My dad
haven't missed his gratuity window once
