Use Cases8 min read
AI Chatbot API: Builder's Guide
AI chat bot API basics for developers — endpoints, streaming, keys, costs, and how chatbot APIs differ from wrapping ChatGPT in an iframe.
Topic
Use Cases
Real applications developers build with AI APIs — internal tools, automations, and customer-facing features, with the patterns behind them.
4 articles
Developers reach for AI APIs when a feature needs language understanding, summarization, classification, or conversational UX without training models in-house. Common patterns include support copilots that draft replies from ticket history, internal knowledge assistants over Confluence or Notion exports, and workflow automations that turn unstructured email into CRM updates.
Customer-facing use cases usually share the same production constraints: keep prompts and retrieved context bounded, stream tokens for perceived speed, and isolate API keys on the server. Internal tools often tolerate higher latency but still benefit from predictable monthly spend when usage grows with headcount.
The articles below walk through concrete builds — from scoped internal tools to chat experiences — with notes on cost, security, and when flat-rate pricing beats metered tokens for steady daily usage.
Use Cases7 min read
Perplexity AI API for Search-Backed Apps
Perplexity AI API explained for developers building search-augmented apps — vs vanilla chat APIs, pricing, and when to use RAG yourself.
Use Cases7 min read
Best AI API for Content Generation on a Budget
Affordable AI APIs for blogs, marketing copy, and UGC tools — routing, batching, and flat-rate options for high-volume writers.
Use Cases8 min read
Building AI-Powered Internal Tools: A Practical Guide for Development Teams
How to design, build, and deploy internal AI copilots and workflow automation tools that save your team hours every week.
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