🪙 Category
Run your bots for less
Spend less on AI services: right-size the model, cache, batch, schedule sensibly and cap your spending.
Run-for-less hub and rules AI price table
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🪙 Run your bots for less
Stop always-on bots from burning tokens: run them less often, or on demand
Every scheduled run costs tokens, even when nothing has changed. Match the schedule to how often the thing really changes, and switch fun-but-idle bots to run only when you ask.
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🪙 Run your bots for less
Set spend limits and usage alerts on your AI accounts
Before a bot runs on autopilot, put a hard cap on what it can spend and check usage weekly, so a runaway loop can't run up a big bill.
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🪙 Run your bots for less
Keep your bot's prompts, tools and context short
You pay for everything the model reads on every run: your instructions, tool definitions, pasted pages and the conversation so far. Trimming those is often the easiest saving.
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🪙 Run your bots for less
Run open models on your own computer (or a cheap host) for simple jobs
Open-weight models can run on your own computer with a free tool like Ollama, so routine jobs cost nothing per message. Some hosts also run open models for a fraction of big-model prices.
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🪙 Run your bots for less
Cut your AI bill with prompt caching and batch discounts
If your bot sends the same long instructions every time, caching makes the repeat part much cheaper. If results can wait a few hours, batch processing halves the price at several providers.
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🪙 Run your bots for less
Decide between a monthly AI plan and paying per use
A monthly plan (like Claude Pro) gives you a flat price with usage limits. Paying per use through an API costs exactly what you use. Which is cheaper depends on how much your bots run.
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🪙 Run your bots for less
Build and test your bot on a free tier before you pay
Several AI providers let you try their API or app for free. Use that to prove your bot works before you put a card on file, and know what you give up on the free tier.
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🪙 Run your bots for less
Use a small model for simple jobs and save the big one for hard ones
Most bot jobs (sorting email, summarizing, checking a page) don't need the most powerful model. The small models cost a fraction as much, so route easy work to them and only send hard problems up.
Popularity: not measured