FROM FARES TO PLANS
In developmentAI travel and local guides
FlightBlog
Add travel context to airfare data.
A project that connects airfare records with monthly travel content, including destinations, seasonal information, and activities.
HOW IT COMES TOGETHER
The core workflow- 01
Monthly airfare data
- 02
Travel context
- 03
LLM-written content
- 04
Fares and guides
01 / THE QUESTION
The problem we set out to solve.
A fare alone is not enough to plan a trip. Travelers still need to research the season, weather, food, and things to do.
02 / OUR APPROACH
Our approach.
We keep airfare records separate from editorial content and use an LLM to write monthly country introductions and travel themes. Price discovery becomes a starting point for planning.
- 01
Monthly content batches
Monthly airfare records serve as input for a repeatable guide-generation task.
- 02
Travel context
Country introductions, weather, themes, places, and food are organized into clear sections.
- 03
Separate fares and writing
Fare tables and editorial text remain distinct so numerical data and generated explanations can be managed together.
- 04
Practical next steps
FAQs and preparation steps help readers move from discovery to planning.
03 / INTELLIGENCE AT WORK
Where AI does the work.
The LLM adds a layer of travel context to airfare data. Fare tables stay separate from generated destination introductions and planning guidance.
04 / WHERE WE ARE
Where the project stands.
Monthly airfare data and travel content generation are being developed together. Fare information and AI writing remain separate, and actual booking conditions must be checked with the fare provider.