Hey everyone! π Quick question that's been confusing me β and I'm sure I'm not the only one... When do you actually have to PAY for an API β and when don't you? πΈ Here's what got me confused: LLM APIs like Claude or OpenAI are paid, but something like the Telegram API is completely free. Why?! After digging into it, here's how I now think about it π πΈ You PAY when the API is doing something computationally heavy just for you β like running a massive AI model to process your text. That's why LLMs charge per token. β
You DON'T pay when you're just plugging into an existing platform's infrastructure β like Telegram, Google Calendar or Notion. They already run those servers for their users. You're just hooking in. π§ The rule I use now: is this API doing something expensive specifically for my request β or just giving me access to something that already exists? --- β‘ To make it concrete, here are some real automations I'm thinking about building for small businesses and professionals: ποΈ Law firm β AI agent that reads client emails, spots the legal issue, drafts a first reply. β Paid: Claude API | Free: Gmail + Google Calendar π Accountant β bot that receives invoices on WhatsApp, reads the data, logs it into a spreadsheet automatically. β Paid: vision/OCR model | Free: WhatsApp Business + Google Sheets π Real estate β 24/7 Telegram agent answering buyer questions and booking viewings. β Paid: Claude or OpenAI | Free: Telegram + Calendly π E-commerce β automated support handling returns and order status with zero human involvement. β Paid: LLM API | Free: Shopify + Gmail webhooks π― Marketing agency β agent that turns a client brief into copy, social posts and email sequences. β Paid: Claude API | Free: Notion + Google Docs --- π For context β LLM API costs for these automations usually land between β¬5β30/month per client. Totally manageable once you factor it into your pricing. Would love to hear from people with more experience π β How do you handle API costs with clients? Absorb them or pass them on?