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TuThorIA: Development of educational product with automation and data-based monetization

PythonWhatsApp APIOpenAI APILooker StudioWeb ScrapingData Pipelines

Context

A group of teachers sought to digitize the creation of learning sessions, a mandatory, manual, and highly time-demanding process. One of the founders had an audience of approximately 50,000 followers, which represented a clear distribution opportunity, but there was no technological product to capitalize on that demand. From this need, TuThorIA was born.

Problem

  • manual creation of educational sessions
  • repetitive and unscalable process
  • high operational burden for teachers
  • lack of accessible tools to automate the process

There was a clear product opportunity, but no technological implementation.

Approach

TuThorIA was approached as building an MVP from scratch:

  • requirements definition based on user problem
  • design of accessible conversational solution (WhatsApp)
  • structuring development in iterations (sprints)
  • focus on implementation speed for early validation

Implementation

TuThorIA was developed as a conversational system that:

  • collects teacher information
  • suggests content based on curricular structure
  • generates complete learning sessions

The product was deployed in a real environment for validation.

Result

  • TuThorIA functional MVP delivered
  • product ready for use by client's audience
  • validation of the viability of automating educational content creation

Extension: data monetization

Subsequently, the client identified a new opportunity:

  • access to teacher evaluation results (public data, but difficult to access)

Solution:

  • data extraction and structuring
  • dashboard construction in Looker Studio
  • enabling paid access to information

Impact:

  • direct revenue generation
  • significant improvement in data accessibility and usability

Impact

  • reduction of manual effort in creating educational sessions
  • enabling a scalable product on an existing audience
  • creation of a new data-based revenue source

Learnings

  • importance of building fast MVPs in uncertain contexts
  • value of combining product + distribution to validate ideas
  • monetization opportunities from well-structured public data
  • trade-offs between implementation speed and technical robustness

Repository

The source code for this project is available on GitHub:

View repository on GitHub