Building for the AI-Agent Era: SchoolCatch and WhosPlaying

We're building two new products that reflect where we think software is heading: platforms designed not just for human users, but for AI agents that act on their behalf.

SchoolCatch — School Catchment Intelligence

SchoolCatch is a school catchment and admissions platform for parents, educators, and local authorities. It brings together admissions data, catchment boundaries, Ofsted ratings, and geographic analysis into a single, intuitive interface.

What it does:

• Visualises school catchment areas with interactive mapping
• Aggregates admissions criteria, oversubscription data, and historical trends
• Provides distance calculations and catchment probability analysis
• Delivers location-based insights to help families make informed school choices

Why it matters: School catchment information in the UK is fragmented across dozens of local authority websites, each with different formats and varying levels of accessibility. SchoolCatch consolidates this into a single, reliable source — the kind of structured, authoritative dataset that both human users and AI agents can query effectively.

WhosPlaying — Local Football Organiser

WhosPlaying is a simple, focused platform for organising local football games. No complex league management, no over-engineered features — just a clean tool for getting people on a pitch.

What it does:

• Create and manage recurring football sessions
• Handle player availability and confirmations
• Balance teams automatically based on attendance
• Send reminders and handle last-minute changes

Why it matters: Every local football group runs on WhatsApp chaos. Messages get lost, people forget to confirm, and organisers spend more time managing the group chat than playing football. WhosPlaying solves this with a purpose-built tool that's deliberately minimal and fast.

Designed for AI Agents

Both platforms share a design philosophy that goes beyond traditional web applications: they're built to be AI-agent ready.

What does that mean in practice?

• Structured, API-first data: Every piece of information is available through clean, well-documented APIs — not locked behind rendered HTML pages that agents have to scrape
• Semantic data models: School catchment boundaries, admissions criteria, game schedules, and player availability are all stored in structured formats that AI agents can reason about
• Action-oriented endpoints: AI agents can not only query data but take actions — checking catchment eligibility, confirming attendance, finding available games nearby

We believe the next generation of software interaction won't always start with a user opening a browser. It'll start with an AI agent — a personal assistant, a planning tool, a recommendation engine — making requests on a user's behalf. The platforms that win will be the ones those agents can actually work with.

The Broader Picture

SchoolCatch and WhosPlaying are different products serving different audiences. But they share a common thesis: that building for AI interoperability from day one isn't a nice-to-have — it's the baseline expectation for any new product launching in 2026.

This is the same principle we apply to client work. Whether we're building a transport booking platform or a data analytics dashboard, we're thinking about how AI agents will interact with it — not just today's human users. It's a small shift in design thinking that makes a significant difference to a product's longevity and reach.

Both platforms are in active development and will be launching soon. Watch this space.