API Development

Articles, guides and tutorials on building and consuming APIs, covering REST, GraphQL, API design principles and developer best practices.

CRM and ERP Integration: Costs, Methods and Pitfalls

CRM and ERP integration is almost always described as a connection problem, and it is almost never a connection problem. Both systems have documented interfaces. Both have connectors available. The difficulty is that sales and finance have spent years describing the same business in two different vocabularies, and the...

OpenAI API Integration: Adding GPT to an Existing App

An OpenAI API integration looks trivial in a prototype and turns out to be an engineering project in production. The proof of concept takes an afternoon: install the client library, paste a key, send a prompt, get a useful answer back. Then someone asks what happens when the request times out, who pays when a customer...

AI Integration Cost: 2026 Enterprise Budgeting Guide

Determining the true AI integration cost is a major financial step for UK businesses looking to deploy Large Language Models (LLMs) in 2026. Integrating AI into software applications automates customer service pipelines, increases productivity, and unlocks conversational data insights. However, budgeting for these...

How to Reduce LLM Latency: Caching and Edge Strategies

Reducing LLM latency is one of the most critical challenges for engineers building responsive AI applications. While Large Language Models (LLMs) keep growing in capability, their token-by-token generation can create frustrating bottlenecks for end users, and long wait times lead directly to lower engagement and...

Build Voice Agents: OpenAI Realtime API Guide

Building low-latency audio pipelines with the OpenAI Realtime API lets developers launch human-like conversational voice agents in production. Traditionally, building a voice interface meant chaining three separate model layers: automatic speech recognition (ASR), a text-based LLM logic layer, and text-to-speech (TTS)...

Claude Opus 4.8 vs. OpenAI GPT-5: Which API is Best?

Choosing between the Claude Opus 4.8 vs OpenAI GPT-5 developer APIs is one of the first critical decisions for teams building enterprise AI applications in 2026. As organisations integrate Large Language Models (LLMs) into production codebases, the model provider you pick dictates your platform’s capabilities, latency...

Claude Fable 5 Hybrid Reasoning: Thinking vs. Speed Modes

Anthropic’s new Claude Fable 5 reasoning engine keeps deep thinking switched on for every request and lets developers dial reasoning depth up or down instead. Historically, Large Language Models (LLMs) operated on fixed compute parameters, generating tokens at a uniform speed regardless of query complexity. Simple...

Building AI Agents with Cloudflare Workers and LangChain

Building a Cloudflare Workers AI agent is the next step in moving from simple AI prompts to autonomous workflows. These systems, known as AI agents, use Large Language Models (LLMs) to call external tools, make decisions, and execute tasks on their own. While running agents traditionally required heavy servers, this...

DeepSeek R1 vs. OpenAI o3-mini: Which API is Best?

Choosing between DeepSeek R1 vs OpenAI o3-mini is a critical decision for developers integrating reasoning APIs into software applications in 2026. When it comes to reasoning APIs, these are the two strongest candidates most teams end up weighing. Both models excel at complex tasks, code generation, mathematical...