Local discovery / AI & information
Scattered event listings. One place to make plans.
AI turns inconsistent local event information into searchable listings, useful categories and clear schedules for Gladstone.
Explore the projectSee what the information becomes.
Select a screen to exploreDiscover Gladstone
Find a plan
On the go
Explore Gladdy’s places, events and cinema listings.
What changed
Information from different sources becomes a coherent public experience for finding things to do.
01 / The problem
Where things got stuck.
Venues, clubs and community organisations publish events in different formats. Finding what is on can mean checking a dozen websites.
Dates appear in prose, recurring events need their next occurrence worked out and the same event may appear on multiple sites. Collecting and checking it manually creates an ongoing editorial workload.
02 / What we built
What we built.
We built the collection pipeline and the public experience around it. AI extracts event details, categories, pricing and recurring schedules into structured information.
Matching rules and AI-assisted checks help recognise events across sources. Uncertain or conflicting information is flagged for review. The resulting website brings together events, places and cinema listings in a distinctive local experience.
03 / How it works
Connected from
start to finish.
- 01
Collect the sources
Bring information from venues and community sources into the pipeline.
- 02
Structure the details
Extract useful event facts, categories, prices and schedules.
- 03
Check the matches
Recognise duplicates and flag uncertainty or conflicting information.
- 04
Make it useful
Present searchable events, places and cinema listings on web and mobile.
04 / The difference
A better working day.
Before
- Local information was scattered across different sources.
- Event details used inconsistent formats.
- Repeat dates and duplicate listings needed interpretation.
After
- Visitors can explore local plans in one place.
- Structured listings give dates, venues and categories a consistent form.
- Extraction and matching support an ongoing collection process.
05 / Inside the build
The details that
make it dependable.
AI prepares information from source material. Source matching and scheduling rules keep it connected to the original listing, while uncertain details are flagged for review.
- Collection pipeline
- Source retrieval and processing
- AI extraction
- Structured event details and enrichment
- Matching & schedule logic
- Event identity and recurring occurrences
- Public website
- Discovery, event search, places and cinema
