AI Glossary

API

What it means, why it matters to your business, and where it shows up in a real build decision.

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Also known as Application Programming Interface

In plain terms

An API is a defined way for two software systems to talk to each other, and it is how most AI capability is delivered into your own products. Using AI through an API means you rent capability on demand instead of hosting models yourself. Your cost and availability then depend on a provider you should choose deliberately.

A simple analogy

An API is the drive-through window. You place your order through a defined interface. The kitchen handles everything behind the counter. You get the output without seeing or managing the process.

What it looks like in practice

A CRM platform adds an AI summarization button. It sends the customer record to an LLM API and displays the summary in the sidebar. The entire integration is a few dozen lines of code with no AI infrastructure to manage.

When to use it

For accessing AI capability in your products without running your own models. The trade-off is convenience and speed against dependency on the provider's uptime, pricing, and data handling terms.

When to avoid it

When sending data through a third-party API violates data sovereignty or compliance requirements. In those cases, evaluate open-weight models on your own infrastructure.

Work with us

Put this to work on a real problem.

Tell us what's slowing you down and we'll show you where API development fits.

Work with us

Tell us what's broken.

Tell us what's not working in your business. We'll find the real problem and tell you exactly what it would take to fix it.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.