built a chrome extension that using openrouter, via multiple api keys and multiple free auto switching llm models scans posts and messages and based on qualification/content/topic initiates a conversation with a specific communication funnel in mind.

1. Enable Prompt Caching Prompt caching is like telling the AI provider: “I’m going to reuse this same instruction text a lot—please remember it so I don’t pay for it again every time.” Caching cuts costs by 50-90% on repeated context. Savings: ~$50-80/month Setup: Just ask. "Please set up prompt caching". 2. Truncate Session Context With daily use of Kimi 2.5, I noticed I made it through $70 in two weeks. I had to investigate. I found that I wasn't typing "/new" enough, and my sessions were long. A “213KB session” meant my conversation/history is huge.​The problem is: many systems resend the whole conversation history on every new message, so you keep paying for the same old text over and over.​ The fix in the notes is to automatically archive sessions once they get too big (example: over 50KB) and start fresh after a certain number of messages. Savings: ~$30-50/month Setup: Just ask. "Auto-archive sessions >50KB, force new sessions after N messages" 3. Model Routing by Task Use cheaper models for simple tasks: - Qwen 3.5: $0.40 /M tokens (coding, analysis) - Kimi K2.5: $0.60/M tokens (complex reasoning only) - Savings: ~$20-40/month *Disclaimer: This approach is in contention. Much of the economical reporting around real model usage varies based on what the model is actually doing. Some tasks require a certain context load, and it's hard to siphon that accurately without guidelines. It doesn't know what it doesn't know, and neither do you. Always budget with a cushion and monitor closely, this is a vehicle, it must be watched closely. I've shown you how to get this thing on the road, but under the hood, there's so much more to this lobster beast than how it feels on the road. There's the engine, the pipes, the radio, the steering wheel, and much more we will be working through. Welcome to The Open Campus for AI: An Academy for OpenClaw! --- Happy Chinese New Year! I hope that with this incoming eclipse season and year of the horse, you get to see the fruits of your labor in fulfilment and abundance 🎈🐎

Hi, my openclaw bot works fine and as expected most of the time when we were working within the telegram DM. However, I have hard time to add it to my other group chat. The purpose is, besides show off to my friends, I also want to let my friends within the group to use him as an assistants (e.g. check stock's Fundamentals analysis data, or RSI, Support and resistance..etc) . I already tried everything including granting him as admin, enabled all the telegram group policy but it is still no luck. Anyone successfully did this? I tried a group of three and he was able to work, as long as we @ his name. But for the 30 people group, he just so shame that not give a response. thanks for helping / advice. 🙏

Marked it . on my calander 5 days time .. will it be Q&A too ?

AI news is about to look very different with AI swarms (100+ bundles of agents) working all over the internet. I used to think security was just about privacy. I quickly learned, with Naval Ravikant's work in 2019, that invisibility is a superpower. If you have a digital footprint, there's data about you that's accessible to the public world. And that scares people for a few reasons. 1) Being sold to Every piece of media you've consumed in the last 24 hours, every tug of war towards your attention, the end intent is to individually sell to you. The hurtful part, it'll work. When you're on the hunt for a deal, your search engines want to join you for the hunt. The reality is that "good deal" can be an echo chamber (an environment of conversation that reinforces itself). For example, when your friends are shopping for the same thing as you, two people searching the same thing within 5-10 minutes of each other in the same location might be a useful data point to target someone who might be interested in buying. If you learn how to harness tools for this data, marketing and advertising will be lucrative for you. If you're not into marketing, then the second point is worth paying attention to. 2) Dead Internet Consuming a thread of reviews on a product on Reddit, but instead of it being 18 unique individuals, it was 18 AI agents conversing with each other on a chained job, set on a cron job (i.e. every 52 minutes). Imagine setting up a few of these, you essentially create an entire ecosystem through prompt chain. No better time to reflect on your consumption habits. This is real architecture going into businesses today. Worth the rabbit hole More to pay attention to: