nextma

when u run code that time set api key. and use that key to access mcp server.

no. api key is for protection

Avoid sending messages in bulk , Avoid logging in to multiple accounts simultaneously.

Basically, use the WhatsApp MCP server as you would normally use WhatsApp.

These precautions can reduce the risk of getting banned.

One account at a time and Phone numbers stay on the server.

AI tokens aren't interchangeable by design, not because they necessarily can't be. Cheese tokens work in any machine because every machine agreed to accept the same token. A BYOK already proves this works for AI also.

But I’m asking about normal user’s point of view. A user already have AI credits in one app, but those credits can only be used in that app. like i said in post.

Java library is at: https://github.com/rNetAi/rnet-oauth-java

Node.js library is at: https://github.com/rNetAi/rnet-oauth-node

Python library is at: https://github.com/rNetAi/rnet-oauth-python

rNet is just a dev tool that helps developers build AI apps, while for users, it works as a credit wallet.

I kept seeing the same problem in AI apps. The developer pays for all the AI usage and then tries to get the money back with subscription model or the user has to paste their own API key, which is hard for people who are not technical + different key for every AI provider.

ChatGPT already fixed this for its own tools(Codex). if you have a ChatGPT plan, you can sign in to codex extension uses that same plan. No New key needed just sign in with same account. but this only works inside ChatGPT's own tools, not for developer's AI apps.

So i built the same idea, but open for any apps(Developer apps) to use. every user as one AI credit wallet, where they add credit , then signs in to any app that uses rNet and spends credit on app. The developer just registers their app. No billing system to build , no usage tracking. the users pay only one time because AI credit are shared like ChatGPT's plan.

Note : rNet does not read, store, modify or add fallback providers to developer's requests. They are passed through as-is to the AI provider you're(Developer) using. Formatting the request correctly for that provider is the developer's responsibility.

One more detail on how the credit system works under the hood. AI token pricing is usually a tiny fraction of a dollar per token, so tracking use four units: dollar, millidollar, microdollar, and nanodollar. Each one is a thousand times smaller than the one before it, same as milli, micro, and nano work everywhere else.

A millidollar is what shows up as "credit" in the wallet. A nanodollar is used behind the scenes to calculate the exact cost of each AI call. For example, if a model costs $0.125 per 1 million tokens, then one token costs 125 nanodollars.

The goal is for developers to build AI apps freely, without worrying about AI tokens and to make buying and using AI credits as easy, efficient, and low-waste as possible for users.

And of course the client libraries are MIT licensed and support Java, Node.js and Python, developers can easily add them to their projects and extend them.

You can find the homepage at: https://www.rnetai.org/

The docs are at: https://www.rnetai.org/docs/guide/product-overview

SDK docs are at: https://www.rnetai.org/docs/sdk/overview

demo developer project: https://github.com/rNetAi/ai-assistant-demo

There's a short demo of buying credit and using it in a connected app at: https://youtu.be/KsRBnRfpBn4

demo video: https://youtu.be/KsRBnRfpBn4

website: https://www.rnetai.org/

other libs

node: https://github.com/rNetAi/rnet-oauth-node

java: https://github.com/rNetAi/rnet-oauth-java

Ui is not working properly, especially in the Results section also add other language support. Overall it is good.

my best is 0.08%

for me it is for knowledge.

Nice. Do you also provide an API or middleware version of TokenAdvisor? Would be great to plug it in before LLM calls so prompts get optimized automatically in production.

They prefer AI music because it’s cheaper and more profitable than paying real artists. The concern is that real musicians may get pushed aside instead of being fairly paid.

what is magnifica humanitas ?