Loading...
Loading...
Written by practicing engineers, not marketers — the terms we actually use when we plan, build and ship software.
An autonomous system that perceives its environment, makes decisions and takes actions to achieve a goal — often by chaining multiple tool calls. Compare with AI chatbots in our guide.
A deep-learning model trained on vast text data that can understand and generate human language. Examples include GPT-class and Claude-class models.
An open standard that lets AI applications connect to external tools and data sources through a uniform interface — the 'USB-C' of AI integrations.
An AI architecture that retrieves relevant context from a knowledge base and feeds it to the model at answer time, grounding responses in your own data.
The practice of crafting instructions for an AI model to reliably produce the desired output.
Further training a pre-trained model on domain-specific examples to change its behavior, style, or output format.
A numerical vector representation of text that places semantically similar content close together, enabling similarity search.
A database optimized to store and search embeddings — a core component of RAG pipelines.
The simplest version of a product that delivers real value and validates demand before full development.
The structured process of planning, building, testing, deploying and maintaining software.
A contract that lets one software system call functions or data from another system.
An architecture that splits an application into small, independently deployable services.
Running code on demand without managing servers; you pay only for actual usage.
A content management system that delivers content via APIs to any frontend — website, app or kiosk.
A culture and toolchain that automates and integrates software development and operations.
Automated pipelines that test and deploy code changes quickly and safely.
Software delivered over the internet on a subscription, with multi-tenant architecture, billing and automatic updates.
Integrated software that unifies internal operations — finance, HR, inventory, manufacturing — into one system.
Software that centralizes sales, marketing and customer service interactions to manage relationships.
Large-scale software built for organizations, with strict security, reliability and integration needs.
Automated, event-driven emails sent to a single recipient — order confirmations, receipts, password resets.
One application instance serving many customers while isolating each customer's data.
Design discipline combining user interface visuals with user experience research and testing.
Google's user-experience metrics — LCP (loading), INP (interactivity) and CLS (visual stability) — used as ranking signals.
Pre-rendering pages at build time so they are delivered as fast, cached HTML.
Rendering HTML on the server per request, improving SEO and first load for dynamic content.
A global network of servers that caches and serves content from the location nearest to users.
A website that behaves like a native app — offline support, push notifications and installability.
JSON-LD code that tells search engines what a page means — enabling rich results like FAQs, breadcrumbs and reviews.
The number of pages a search engine will crawl on your site; efficient architecture preserves it.
Use the free cost calculator to turn these terms into a concrete budget.